sequential and parallel algorithms on intersection graphs



Fayez Gebali Algorithms and Parallel Computing Fayez Gebali Algorithms and Parallel Computing Новинка

Fayez Gebali Algorithms and Parallel Computing

9661.83 руб.
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.
Олег Варламов Mivar NETs and logical inference with the linear complexity Олег Варламов Mivar NETs and logical inference with the linear complexity Новинка

Олег Варламов Mivar NETs and logical inference with the linear complexity

129 руб.
MIVAR: Transition from Productions to Bipartite Graphs MIVAR Nets and Practical Realization of Automated Constructor of Algorithms Handling More than Three Million Production Rules. The theoretical transition from the graphs of production systems to the bipartite graphs of the MIVAR nets is shown. Examples of the implementation of the MIVAR nets in the formalisms of matrixes and graphs are given. The linear computational complexity of algorithms for automated building of objects and rules of the MIVAR nets is theoretically proved. On the basis of the MIVAR nets the UDAV software complex is developed, handling more than 1.17 million objects and more than 3.5 million rules on ordinary computers. The results of experiments that confirm a linear computational complexity of the MIVAR method of information processing are given.
Proceedings of the International Workshop on Combinatorial Algorithms 2008 Proceedings of the International Workshop on Combinatorial Algorithms 2008 Новинка

Proceedings of the International Workshop on Combinatorial Algorithms 2008

3027 руб.
The International Workshop on Combinatorial Algorithms was established in 1989 as the Australasian Workshop on Combinatorial Algorithms. As a consequence of the workshop's success in attracting mathematicians and computer scientists from around the world, it was decided at the 2006 meeting to go global, to change the workshop's name, and to hold it in appropriate venues around the world. The workshop supports basic research on the interface between mathematics and computing, specifically * Algorithms & Data Structures * Complexity Theory * Algorithms on Graphs & Strings * Combinatorial Optimization * Cryptography & Information Security * Computational Biology * Communications Networks and many other related areas. This is Volume 2 in the series of IWOCA proceedings. See
Hains Gaetan J. D. R. Parallel Algorithms for Free and Associative-Commutative Unification Hains Gaetan J. D. R. Parallel Algorithms for Free and Associative-Commutative Unification Новинка

Hains Gaetan J. D. R. Parallel Algorithms for Free and Associative-Commutative Unification

8352 руб.
This 1990 work is written as a guide to the design of fast algorithms for free term matching, free unification and associative-commutative term matching. The goal of this research was to identify tractable unification problems, to evaluate existing methods for their solution and design new ones where appropriate. The emphasis is on speed, as measured by the worst-case complexity of algorithms. Only methods with direct relevance to practical use were chosen, and are presented in the wider context of unification theory. Few assumptions are made about the environment in which unification is to be used. Terms are represented as graphs, the most common data structure in use now. Results presented here should be useful in the implementation of fast symbolic manipulation systems and their application to scalable intelligent software.
Ad Ridder Fast Sequential Monte Carlo Methods for Counting and Optimization Ad Ridder Fast Sequential Monte Carlo Methods for Counting and Optimization Новинка

Ad Ridder Fast Sequential Monte Carlo Methods for Counting and Optimization

9107.44 руб.
A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for Counting and Optimization is a complete illustration of fast sequential Monte Carlo techniques. The book provides an accessible overview of current work in the field of Monte Carlo methods, specifically sequential Monte Carlo techniques, for solving abstract counting and optimization problems. Written by authorities in the field, the book places emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization includes: Detailed algorithms needed to practice solving real-world problems Numerous examples with Monte Carlo method produced solutions within the 1-2% limit of relative error A new generic sequential importance sampling algorithm alongside extensive numerical results An appendix focused on review material to provide additional background information Fast Sequential Monte Carlo Methods for Counting and Optimization is an excellent resource for engineers, computer scientists, mathematicians, statisticians, and readers interested in efficient simulation techniques. The book is also useful for upper-undergraduate and graduate-level courses on Monte Carlo methods.
Yılmaz Eroğlu Duygu Hybrid algorithms . MIP models for unrelated parallel machine scheduling Yılmaz Eroğlu Duygu Hybrid algorithms . MIP models for unrelated parallel machine scheduling Новинка

Yılmaz Eroğlu Duygu Hybrid algorithms . MIP models for unrelated parallel machine scheduling

7564 руб.
Scheduling is one of the main operations in the production industry and is studied in millions of studies by researchers. Unrelated parallel machines scheduling problem with job sequence, machine dependent setup times and also job splitting property are the main scope of this book. Splitting the jobs into sub jobs is a great requirement for some industries (e.g.: weaving process of textile manufacturing, drilling process of PCB manufacturing, dicing process of semiconductor wafer manufacturing). Additionally, the proposed algorithms are adapted on the problems that do not have job splitting property. It's shown that the developed hybrid algorithms outperformed most of the methods in literature. The proposed algorithms are verified by developed MIP models in the book.
Mahendra Gunathilaka Samarawickrama Performance Evaluation of Vision Algorithms on FPGA Mahendra Gunathilaka Samarawickrama Performance Evaluation of Vision Algorithms on FPGA Новинка

Mahendra Gunathilaka Samarawickrama Performance Evaluation of Vision Algorithms on FPGA

3334 руб.
The modern FPGAs enable system designers to develop high-performance computing (HPC) applications with a large amount of parallelism. Real-time image processing is such a requirement that demands much more processing power than a conventional processor can deliver. In this research, we implemented software and hardware based architectures on FPGA to achieve real-time image processing. Furthermore, we benchmark and compare our implemented architectures with existing architectures. The operational structures of those systems consist of on-chip processors or custom vision coprocessors implemented in a parallel manner with efficient memory and bus architectures. The performance properties such as the accuracy, throughput and efficiency are measured and presented.According to results, FPGA implementations are faster than the DSP and GPP implementations for algorithms which can exploit a large amount of parallelism. Our image pre-processing architecture is nearly two times faster than the optimized software implementation on an Intel Core 2 Duo GPP. However, because of the higher clock frequency of DSPs/GPPs, the processing speed for sequential computations on on-chip processors in FPGAs is slower than on DSPs/GPPs. These on-chip processors are well suited for multi-processor systems for software level parallelism. Our quad-Microblaze architecture achieved 75-80% performance improvement compared to its single Microblaze counterpart. Moreover, the quad-Microblaze design is faster th...
Marianna Bolla Spectral Clustering and Biclustering. Learning Large Graphs and Contingency Tables Marianna Bolla Spectral Clustering and Biclustering. Learning Large Graphs and Contingency Tables Новинка

Marianna Bolla Spectral Clustering and Biclustering. Learning Large Graphs and Contingency Tables

7602.75 руб.
Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, multivariate statistics, or applied graph theory; but by skipping the proofs, the algorithms can also be used by specialists who just want to retrieve information from their data when analysing communication, social, or biological networks. Spectral Clustering and Biclustering: Provides a unified treatment for edge-weighted graphs and contingency tables via methods of multivariate statistical analysis (factoring, clustering, and biclustering). Uses spectral embedding and relaxation to estimate multiway cuts of edge-weighted graphs and bicuts of contingency tables. Goes beyond the expanders by describing the structure of dense graphs with a small spectral gap via the structural eigenvalues and eigen-subspaces of the normalized modularity matrix. Treats graphs like statistical data by combining methods of graph theory and statistics. Establishes a common outline structure for the contents of each algorithm, applicable to networks and microarrays, with unified notions and principles.
A. A. Frempong Elementary Mathematics . Intermediate Mathematics. (Arithmetic, Algebra, Geometry . Trigonometry) A. A. Frempong Elementary Mathematics . Intermediate Mathematics. (Arithmetic, Algebra, Geometry . Trigonometry) Новинка

A. A. Frempong Elementary Mathematics . Intermediate Mathematics. (Arithmetic, Algebra, Geometry . Trigonometry)

6777 руб.
This book combines the Elementary Math and the Intermediate Math of the fifth editions into a single volume. The arithmetic topics include whole numbers, fractions, decimals, the percent symbol (%); ratio, proportion, areas, perimeters, scientific notation, and measurements. The elementary algebra and geometry topics include exponents; polynomials; linear equations; word problems; factoring; quadratic equations; graphs, slopes, intercepts, straight lines; systems of equations, radicals; Pythagorean theorem and applications; algebraic fractions; and inequalities. The intermediate math topics include exponents; radicals; polynomials; graphs, slopes, intercepts, parallel and perpendicular lines; graphs of parabolas; linear and compound inequalities; algebraic fractions; fractional and radical equations; complex numbers; absolute value equations and inequalities; logarithms; logarithmic and exponential equations; congruency theorems; similar triangles; trigonometry; equations and circles..
Luca Massaron Algorithms For Dummies Luca Massaron Algorithms For Dummies Новинка

Luca Massaron Algorithms For Dummies

1979.22 руб.
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
John Cheng Professional CUDA C Programming John Cheng Professional CUDA C Programming Новинка

John Cheng Professional CUDA C Programming

3959.11 руб.
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA – a parallel computing platform and programming model designed to ease the development of GPU programming – fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the «hard» and «soft» aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
Hong Jeong Architectures for Computer Vision. From Algorithm to Chip with Verilog Hong Jeong Architectures for Computer Vision. From Algorithm to Chip with Verilog Новинка

Hong Jeong Architectures for Computer Vision. From Algorithm to Chip with Verilog

11483.32 руб.
This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit implementations, especially with Verilog HDL design. The organization of this book is vision and hardware module directed, based on Verilog vision modules, 3D vision modules, parallel vision architectures, and Verilog designs for the stereo matching system with various parallel architectures. Provides Verilog vision simulators, tailored to the design and testing of general vision chips Bridges the differences between C/C++ and HDL to encompass both software realization and chip implementation; includes numerous examples that realize vision algorithms and general vision processing in HDL Unique in providing an organized and complete overview of how a real-time 3D vision system-on-chip can be designed Focuses on the digital VLSI aspects and implementation of digital signal processing tasks on hardware platforms such as ASICs and FPGAs for 3D vision systems, which have not been comprehensively covered in one single book Provides a timely view of the pervasive use of vision systems and the challenges of fusing information from different vision modules Accompanying website includes software and HDL code packages to enhance further learning and develop advanced systems A solution set and lecture slides are provided on the book's companion website The book is aimed at graduate students and researchers in computer vision and embedded systems, as well as chip and FPGA designers. Senior undergraduate students specializing in VLSI design or computer vision will also find the book to be helpful in understanding advanced applications.
Simon Harris Beginning Algorithms Simon Harris Beginning Algorithms Новинка

Simon Harris Beginning Algorithms

3167.15 руб.
Beginning Algorithms A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks. Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You'll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you'll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development. What you will learn from this book The basics of algorithms, such as iteration and recursion Elementary data structures such as lists, stacks, and queues Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort Advanced data structures such as binary trees, ternary trees, and heaps Algorithms for string searching, string matching, hashing, and computational geometry How to use test-driven development techniques to ensure your code works as intended How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization Who this book is for This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.
Simon Harris Beginning Algorithms Simon Harris Beginning Algorithms Новинка

Simon Harris Beginning Algorithms

3167.15 руб.
Beginning Algorithms A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks. Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You'll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you'll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development. What you will learn from this book The basics of algorithms, such as iteration and recursion Elementary data structures such as lists, stacks, and queues Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort Advanced data structures such as binary trees, ternary trees, and heaps Algorithms for string searching, string matching, hashing, and computational geometry How to use test-driven development techniques to ensure your code works as intended How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization Who this book is for This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.
Vladislav Yastrebov A. Numerical Methods in Contact Mechanics Vladislav Yastrebov A. Numerical Methods in Contact Mechanics Новинка

Vladislav Yastrebov A. Numerical Methods in Contact Mechanics

12667.29 руб.
Computational contact mechanics is a broad topic which brings together algorithmic, geometrical, optimization and numerical aspects for a robust, fast and accurate treatment of contact problems. This book covers all the basic ingredients of contact and computational contact mechanics: from efficient contact detection algorithms and classical optimization methods to new developments in contact kinematics and resolution schemes for both sequential and parallel computer architectures. The book is self-contained and intended for people working on the implementation and improvement of contact algorithms in a finite element software. Using a new tensor algebra, the authors introduce some original notions in contact kinematics and extend the classical formulation of contact elements. Some classical and new resolution methods for contact problems and associated ready-to-implement expressions are provided. Contents: 1. Introduction to Computational Contact. 2. Geometry in Contact Mechanics. 3. Contact Detection. 4. Formulation of Contact Problems. 5. Numerical Procedures. 6. Numerical Examples. About the Authors Vladislav A. Yastrebov is a postdoctoral-fellow in Computational Solid Mechanics at MINES ParisTech in France. His work in computational contact mechanics was recognized by the CSMA award and by the Prix Paul Caseau of the French Academy of Technology and Electricité de France.
Dan Simon Evolutionary Optimization Algorithms Dan Simon Evolutionary Optimization Algorithms Новинка

Dan Simon Evolutionary Optimization Algorithms

10264.36 руб.
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear—but theoretically rigorous—understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs—including opposition-based learning, artificial fish swarms, bacterial foraging, and many others— and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
Tim Roughgarden Algorithms Illuminated (Part 2). Graph Algorithms and Data Structures Tim Roughgarden Algorithms Illuminated (Part 2). Graph Algorithms and Data Structures Новинка

Tim Roughgarden Algorithms Illuminated (Part 2). Graph Algorithms and Data Structures

2002 руб.
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details---like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. Part 2 covers graph search and applications, shortest paths, and the usage and implementation of several data structures (heaps, search trees, hash tables, and bloom filters).
Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications Новинка

Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications

15203.96 руб.
The Second Edition of OFDM Baseband Receiver Design for Wirless Communications, this book expands on the earlier edition with enhanced coverage of MIMO techniques, additional baseband algorithms, and more IC design examples. The authors cover the full range of OFDM technology, from theories and algorithms to architectures and circuits. The book gives a concise yet comprehensive look at digital communication fundamentals before explaining signal processing algorithms in receivers. The authors give detailed treatment of hardware issues – from architecture to IC implementation. Links OFDM and MIMO theory with hardware implementation Enables the reader to transfer communication received concepts into hardware; design wireless receivers with acceptable implemntation loss; achieve low-power designs Covers the latest standards, such as DVB-T2, WiMax, LTE and LTE-A Includes more baseband algorithms, like soft-decoding algorithms such as BCJR and SOVA Expanded treatment of channel models, detection algorithms and MIMO techniques Features concrete design examples of WiMAX systems and cognitive radio apllications Companion website with lecture slides for instructors Based on materials developed for a course in digital communication IC design, this book is ideal for graduate students and researchers in VLSI design, wireless communications, and communications signal processing. Practicing engineers working on algorithms or hardware for wireless communications devices will also find this to be a key reference.
Mokhtar Khorshid Solving Multi-Agent Pathfinding Problems on Graphs in Polynomial Time Mokhtar Khorshid Solving Multi-Agent Pathfinding Problems on Graphs in Polynomial Time Новинка

Mokhtar Khorshid Solving Multi-Agent Pathfinding Problems on Graphs in Polynomial Time

8102 руб.
Multi-agent pathfinding problems involve finding plans for agents that must travel from their start locations to their targets without colliding. Recent work produced a number of algorithms to solve the problem as well as an ample supply of related theory. Most existing works, however, were either too inefficient for practical use or had very restrictive conditions. This work proposes a novel approach to solving Multi-agent pathfinding problems, based on tree decompositions, called Tree-based Agent Swapping Strategy (TASS). Using TASS we can guarantee that a problem will be solved in polynomial time if it meets a few weak conditions. The overall strategy decomposes graphs into trees, where sub-problems can be solved efficiently, and then a solution on the original graph is extracted. Experimental results showed that TASS can find solutions to multi-agent pathfinding problems on a highly crowded tree with 1000 nodes and 996 agents in less than 3 seconds. Further experiments compared TASS with other modern contending algorithms and the results were very favorable.
J. P. Linda, M. S. Sunitha Geodesic and Detour distances in Graphs and Fuzzy Graphs J. P. Linda, M. S. Sunitha Geodesic and Detour distances in Graphs and Fuzzy Graphs Новинка

J. P. Linda, M. S. Sunitha Geodesic and Detour distances in Graphs and Fuzzy Graphs

9677 руб.
Analysis of vertices plays an important role in Graph Theory and Fuzzy Graph Theory and characterization of different types of vertices is a challenging problem. This book deals with different types of vertices such as eccentric vertices, peripheral vertices, central vertices, complete vertices, cut vertices, interior vertices and boundary vertices in graphs and fuzzy graphs using geodesic and detour distances. The material in this text book is useful and interesting for Mathematics students as well as for other students whose areas of interest include Graphs and/or Fuzzy Graphs.
Harsh Sadawarti MINs PERFORMANCE FOR PARALLEL PROCESSING Harsh Sadawarti MINs PERFORMANCE FOR PARALLEL PROCESSING Новинка

Harsh Sadawarti MINs PERFORMANCE FOR PARALLEL PROCESSING

2464 руб.
The Performance of a system depends directly on the time required to perform an operation and number of these operations that can be performed concurrently. High performance computing systems can be designed using parallel processing. The effectiveness of these parallel systems rests primarily on the communication network linking processors and memory modules. Hence, an interconnection network that provides the desired connectivity and performance at minimum cost is required for communication in parallel processing systems. Multistage interconnection networks provide a compromise between shared bus and crossbar networks.
Pablo Mariño Pavón Optimization of Computer Networks. Modeling and Algorithms: A Hands-On Approach Pablo Mariño Pavón Optimization of Computer Networks. Modeling and Algorithms: A Hands-On Approach Новинка

Pablo Mariño Pavón Optimization of Computer Networks. Modeling and Algorithms: A Hands-On Approach

7714.01 руб.
This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).
Rodriguez Miguel, Jabba Daladier Query Optimization Based on the Automata Theory Rodriguez Miguel, Jabba Daladier Query Optimization Based on the Automata Theory Новинка

Rodriguez Miguel, Jabba Daladier Query Optimization Based on the Automata Theory

8652 руб.
The query optimization problem has been widely addressed in Relational Database Management Systems (RDBMS). Many strategies have been implemented to solve this problem including deterministic algorithms, randomized algorithms, meta-heuristic algorithms and hybrid approaches. This book provides a literature review that includes solutions to the join-ordering problem using simulated annealing, genetic algorithms and ant colony optimization. Such methodologies deeply depend on the correct configuration of various input parameters. This book also introduces a new meta-heuristic approach based on the automata theory adapted to solve the join-ordering problem. The proposed method requires only a single input parameter that facilitates its usage respect to other methods. The algorithm was embedded into PostgreSQL and compared with the genetic competitor using random and star database schemas.
Jie Liang Models and Algorithms for Biomolecules and Molecular Networks Jie Liang Models and Algorithms for Biomolecules and Molecular Networks Новинка

Jie Liang Models and Algorithms for Biomolecules and Molecular Networks

8875.32 руб.
By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises
Abid Shahid Segmentation of Cursive Textual Images (Applied to Urdu Script) Abid Shahid Segmentation of Cursive Textual Images (Applied to Urdu Script) Новинка

Abid Shahid Segmentation of Cursive Textual Images (Applied to Urdu Script)

9527 руб.
Segmentation of Cursive Textual Images (Applied to Urdu Script) is designed for students perusing the subject at both undergraduate and postgraduate levels. Features: • Enable students to see how algorithms like artificial neural network (ANN), hidden Markov Model (HMMs) etc. work. • Enable them to understand images, various operations on images and algorithms. • Explain the various implementations of HMMs on values and images. • Includes step-by-step instructions to apply algorithms to solve multi-dimensional problems. • It explains textual images (using Urdu script as example), its cursive nature and difficulties for a computer program to identify characters in textual image. • It also explains glyph or connected component analysis. • It explains ANN algorithm and how it can solve segmentation/recognition of holistic images. • It explains how HMMs is used for the segmentation of Urdu text at character level. • It also explains the mathematical equations involved in HMMs. • It also discussed the limitations of algorithm using bounding box, ANN and HMMs. • Includes comprehensive appendix and important tables, graphs and mathematical equations.
Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications Новинка

Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications

11800.1 руб.
An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.
Valentina Ocloo Rectangle-Visibility Representation of Products of Graphs Valentina Ocloo Rectangle-Visibility Representation of Products of Graphs Новинка

Valentina Ocloo Rectangle-Visibility Representation of Products of Graphs

2177 руб.
Thesis (M.A.) from the year 2017 in the subject Mathematics - Applied Mathematics, grade: 80.0, Kwame Nkrumah University of Science and Technology (AIMS-GH), course: M.Sc Mathematical Sciences, language: English, abstract: Visibility representation of a graph is a way of assigning the vertices of a graph to objects in a plane and the edges of the graph representing the positioning of the objects in such a way that they see one another. In this work, we consider representations of products of some classes of graphs as rectangle-visibility graphs (RVGs), i.e, graphs whose vertices are rectangles in the plane and edges are horizontal or vertical visibility. We focus on three types of graph products namely: cartesian, direct and strong products. We also investigate representations of products of some classes of graphs such as path, cycle with path, star with path and complete graphs that are RVGs. Furthermore, we discuss why some complete graphs are not RVGs. The results obtained are established by constructive proofs and yield linear-time layout.
Patricia Ruiz Evolutionary Algorithms for Mobile Ad Hoc Networks Patricia Ruiz Evolutionary Algorithms for Mobile Ad Hoc Networks Новинка

Patricia Ruiz Evolutionary Algorithms for Mobile Ad Hoc Networks

8489.44 руб.
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks—each of these require a designer’s keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting basic concepts as well as detailed descriptions of each. It demonstrates how metaheuristics and evolutionary algorithms (EAs) can be used to help provide low-cost operations in the optimization process—allowing designers to put some “intelligence” or sophistication into the design. It also offers efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. Evolutionary Algorithms for Mobile Ad Hoc Networks: Instructs on how to identify, model, and optimize solutions to problems that arise in daily research Presents complete and up-to-date surveys on topics like network and mobility simulators Provides sample problems along with solutions/descriptions used to solve each, with performance comparisons Covers current, relevant issues in mobile networks, like energy use, broadcasting performance, device mobility, and more Evolutionary Algorithms for Mobile Ad Hoc Networks is an ideal book for researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization.
Ann Brooks, Lionel Wee Consumption. Comparing Singapore with Asian and Western Cities Ann Brooks, Lionel Wee Consumption. Comparing Singapore with Asian and Western Cities Новинка

Ann Brooks, Lionel Wee Consumption. Comparing Singapore with Asian and Western Cities

5964 руб.
'Consumption, Cities and States' examines the fascinating intersection of consumption, citizenship and the state in a cross-section of global cities in Asia and the West. It focuses on a number of theoretical and empirical analyses: developing and amplifying the intersection of consumption, citizenship and the state in late modernity in relation to a range of cities; examining the concept of the global city as an 'aspirational' category for cities in Asia and the West; and considering case studies which highlight the intersection of consumption and the state. As Ann Brooks and Lionel Wee demonstrate, the interface between citizen status and consumer activity proves a crucial point of analysis in the light of the neoliberal assertion that individuals and institutions perform at their best within a free market economy.
Fatos Xhafa Programming Multicore and Many-core Computing Systems Fatos Xhafa Programming Multicore and Many-core Computing Systems Новинка

Fatos Xhafa Programming Multicore and Many-core Computing Systems

7640.79 руб.
Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream. The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle. Key features: Lessons, challenges, and roadmaps ahead. Contains real world examples and case studies. Helps programmers in mastering the efficient programming of multi-core and many-core systems. The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.
Elloumi Mourad Algorithms in Computational Molecular Biology. Techniques, Approaches and Applications Elloumi Mourad Algorithms in Computational Molecular Biology. Techniques, Approaches and Applications Новинка

Elloumi Mourad Algorithms in Computational Molecular Biology. Techniques, Approaches and Applications

14413.55 руб.
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Wagner Kevin Proportionate-type Normalized Least Mean Square Algorithms Wagner Kevin Proportionate-type Normalized Least Mean Square Algorithms Новинка

Wagner Kevin Proportionate-type Normalized Least Mean Square Algorithms

7994.77 руб.
The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo cancellation applications. New PtNLMS algorithms are developed by choosing gains that optimize user-defined criteria, such as mean square error, at all times. PtNLMS algorithms are extended from real-valued signals to complex-valued signals. The computational complexity of the presented algorithms is examined. Contents 1. Introduction to PtNLMS Algorithms 2. LMS Analysis Techniques 3. PtNLMS Analysis Techniques 4. Algorithms Designed Based on Minimization of User Defined Criteria 5. Probability Density of WD for PtLMS Algorithms 6. Adaptive Step-size PtNLMS Algorithms 7. Complex PtNLMS Algorithms 8. Computational Complexity for PtNLMS Algorithms About the Authors Kevin Wagner has been a physicist with the Radar Division of the Naval Research Laboratory, Washington, DC, USA since 2001. His research interests are in the area of adaptive signal processing and non-convex optimization. Milos Doroslovacki has been with the Department of Electrical and Computer Engineering at George Washington University, USA since 1995, where he is now an Associate Professor. His main research interests are in the fields of adaptive signal processing, communication signals and systems, discrete-time signal and system theory, and wavelets and their applications.
Pawel Cichosz Data Mining Algorithms. Explained Using R Pawel Cichosz Data Mining Algorithms. Explained Using R Новинка

Pawel Cichosz Data Mining Algorithms. Explained Using R

6174.14 руб.
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.
Fabrice Kordon Distibuted Systems. Design and Algorithms Fabrice Kordon Distibuted Systems. Design and Algorithms Новинка

Fabrice Kordon Distibuted Systems. Design and Algorithms

12734.89 руб.
In today’s digital environment, distributed systems are increasingly present in a wide variety of environments, ranging from public software applications to critical systems. Distributed Systems introduces the underlying concepts, the associated design techniques and the related security issues. Distributed Systems: Design and Algorithms, is dedicated to engineers, students, and anyone familiar with algorithms and programming, who want to know more about distributed systems. These systems are characterized by: several components with one or more threads, possibly running on different processors; asynchronous communications with possible additional assumptions (reliability, order preserving, etc.); local views for every component and no shared data between components. This title presents distributed systems from a point of view dedicated to their design and their main principles: the main algorithms are described and placed in their application context, i.e. consistency management and the way they are used in distributed file-systems.
Rod Stephens Essential Algorithms. A Practical Approach to Computer Algorithms Rod Stephens Essential Algorithms. A Practical Approach to Computer Algorithms Новинка

Rod Stephens Essential Algorithms. A Practical Approach to Computer Algorithms

4630.6 руб.
A friendly and accessible introduction to the most useful algorithms Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such as arrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees, B-trees Addresses general problem-solving techniques such as branch and bound, divide and conquer, recursion, backtracking, heuristics, and more Reviews sorting and searching, network algorithms, and numerical algorithms Includes general problem-solving techniques such as brute force and exhaustive search, divide and conquer, backtracking, recursion, branch and bound, and more In addition, Essential Algorithms features a companion website that includes full instructor materials to support training or higher ed adoptions.
Sanjay Matange Getting Started with the Graph Template Language in SAS. Examples, Tips, and Techniques for Creating Custom Graphs Sanjay Matange Getting Started with the Graph Template Language in SAS. Examples, Tips, and Techniques for Creating Custom Graphs Новинка

Sanjay Matange Getting Started with the Graph Template Language in SAS. Examples, Tips, and Techniques for Creating Custom Graphs

3377 руб.
You've just received a new survey of study results, and you need to quickly create custom graphical views of the data. Or, you've completed your analysis, and you need graphs to present the results to your audience, in the style that they prefer. Now, you can create custom graphs quickly and easily with Getting Started with the Graph Template Language in SAS, without having to understand all of the Graph Template Language (GTL) features first. This book will get you started building graphs immediately and will guide you toward a better understanding of the GTL, one step at a time. It shows you the most common approaches to a variety of graphs along with information that you can use to build more complex graphs from there. Sanjay Matange offers expert tips, examples, and techniques, with a goal of providing you with a solid foundation in using the GTL so that you can progress to more sophisticated, adaptable graphs as you need them. Ultimately, Getting Started with the Graph Template Language in SAS allows you to bypass the learning curve. It teaches you how to quickly create custom, aesthetically pleasing graphs that present your data with maximum clarity and minimum clutter. This book is part of the SAS Press program.
Graham Hall Java Programming with NetBeans for A-level Computer Science Graham Hall Java Programming with NetBeans for A-level Computer Science Новинка

Graham Hall Java Programming with NetBeans for A-level Computer Science

3614 руб.
The purpose of this book is to provide a simple introduction to Java programming with the NetBeans Integrated Development Environment. The book has been designed for students who are undertaking the two year WJEC A-level course in Computer Science. The objective is to produce simple example program applications which illustrate a range of theoretical concepts, such as: abstract data structures, object oriented programming, random access and indexed sequential files, and batch processing by sequential update. In this way, it is hoped the students will gain a practical appreciation of the value of these computing techniques.By working through the example programs in this book, students should gain an understanding of basic interface construction, processing and file handling operations in an object oriented Java environment, and a number of important standard algorithms included in the A-level course.
Smirnov Aleksandr, Shtreker Evgeniy, Pavel Nabrodov Projekt Von Aleksandr Smirnov Aleksandr, Shtreker Evgeniy, Pavel Nabrodov Projekt Von Aleksandr Новинка

Smirnov Aleksandr, Shtreker Evgeniy, Pavel Nabrodov Projekt Von Aleksandr

8789 руб.
The monograph will be interesting for young scientists in the field of telecommunications In the work are the main principles of parallel telecommunication systems. In the basis of these principles lies parallel processing of data and development of telecommunication devices on a parallel basis. For the following theoretical base was used system of residual classes. Data in this system can be processed in parallel without transfer digits. Elements of telecommunications proposed to implement in the neural network which has parallelism and the ability to learn or setting up an obstacle. In the basis of the book lies the theory of transfer and processing of parallel data by parallel elements of telecommunications. The book offered some of neural networks and put some outstanding issues, such as training of neural networks in the mirror mathematics.
Sergio Canazza Noise and Representation Systems. A Comparison among Audio Restoration Algorithms Sergio Canazza Noise and Representation Systems. A Comparison among Audio Restoration Algorithms Новинка

Sergio Canazza Noise and Representation Systems. A Comparison among Audio Restoration Algorithms

3427 руб.
This text provides an overview of the various approaches used for noise reduction, with an emphasis on the differents signal representations. In particular, the classic methodologies for the individuation and removal of local and global disturbances are described. Moreover, some innovative algorithms are illustrated in detail: the algorithms based in the frequency domain are explained, as well as those based in the time domain. It is very difficult to identify evaluation criteria for the results of the various audio restoration algorithms. The last section focus on some numeric indexes, which aim at indicating the effects of an audio restoration process.
Mohamed Rahama Data Structures and Algorithms Mohamed Rahama Data Structures and Algorithms Новинка

Mohamed Rahama Data Structures and Algorithms

1752 руб.
Research Paper (undergraduate) from the year 2012 in the subject Computer Science - Applied, grade: A, Atlantic International University (School of Science and Engineering), course: Data Structures and Algorithms, language: English, abstract: This paper reviews the different ways of building data in computer systems, or aspiring to the data structure, as well as the searching methods in this data, which is known as algorithms. Data Structures and algorithms are integrated to form computer programs and in broader terms, explains what is generally known as programming abstraction.Data structures discuss the ways and mechanisms that we use to organize data in an integrated form in computers systems and exploitation of memory locations in an easy and structured ways such as arrays, stacks, queues, lists, linked lists and other. Algorithms, on the other hand, are the ways in which the instructions and operations are carried out to handle information and data on the different types of data structure.
J. Parker R. Algorithms for Image Processing and Computer Vision J. Parker R. Algorithms for Image Processing and Computer Vision Новинка

J. Parker R. Algorithms for Image Processing and Computer Vision

7523.56 руб.
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
Instaread Summaries Summary of Algorithms to Live By. by Brian Christian and Tom Griffiths . Includes Analysis Instaread Summaries Summary of Algorithms to Live By. by Brian Christian and Tom Griffiths . Includes Analysis Новинка

Instaread Summaries Summary of Algorithms to Live By. by Brian Christian and Tom Griffiths . Includes Analysis

714 руб.
Книга "Summary of Algorithms to Live By. by Brian Christian and Tom Griffiths | Includes Analysis".Summary of Algorithms to Live By by Brian Christian and Tom Griffiths | Includes Analysis Preview: Algorithms to Live By by Brian Christian and Tom Griffiths is an immersive look at the history and development of several algorithms used to solve computer science problems. It also considers potential applications of algorithms in human life including memory storage and network communication.One such computer science problem is the optimal stopping problem, the mathematical puzzle for determining how long to review options and gather data before settling on the best choice available. The algorithm, based on statistical analysis, shows that there is an optimal place or time to stop researching options or solutions to a problem and instead commit to the next option that’s just as good as those already considered. Similarly, the mathematical way to decide whether to try something new or stick with the familiar choice is expressed by the Gittins Index score of any given alternative. It values a complete unknown more highly than a… PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book. Inside this Instaread Summary of Algorithms to Live By by Brian Christian and Tom Griffiths | Includes Analysis Overview of the Book Important People Key Takeaways Analysis of Key Takeaways About the AuthorWith Instaread, you can get the key takeaways, summary and ...
Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization Новинка

Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

10419.59 руб.
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.
Donny Wise Microsoft Excel for Teachers and Students Donny Wise Microsoft Excel for Teachers and Students Новинка

Donny Wise Microsoft Excel for Teachers and Students

2652 руб.
This book is a gentle introduction to the use of spreadsheets for organization of information and arithmetic computing. Learn the basics of cells, formulas, and Excel's built-in functions. Learn how to create impactful charts and graphs based on your data.
Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Новинка

Albalate Amparo Semi-Supervised and Unsupervised Machine Learning. Novel Strategies

8949.07 руб.
This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described.
Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals Новинка

Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals

5865.14 руб.
This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.
Epistemology. 5 Questions Epistemology. 5 Questions Новинка

Epistemology. 5 Questions

4602 руб.
Epistemology: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in epistemology. We hear their views on epistemology with particular emphasis on the intersection between mainstream and formal approaches to the field, the aim, scope, the future direction of epistemology and how their work fits in these respects.
Daniel H. Greene, Donald E. Knuth Mathematics for the Analysis of Algorithms Daniel H. Greene, Donald E. Knuth Mathematics for the Analysis of Algorithms Новинка

Daniel H. Greene, Donald E. Knuth Mathematics for the Analysis of Algorithms

8152 руб.
This monograph collects some fundamental mathematical techniques that are required for the analysis of algorithms. It builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the more difficult notions. The authors cover recurrence relations, operator methods, and asymptotic analysis in a format that is concise enough for easy reference yet detailed enough for those with little background with the material.
Philip Jackson Selected Works Philip Jackson Selected Works Новинка

Philip Jackson Selected Works

1689 руб.
This is a collection of works on algorithms in computing, invariants in general topology, groundwater modeling, and database application software.
Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications Новинка

Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications

9570.21 руб.
Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book
Nicolae Brinzei Systems Dependability Assessment. Modeling with Graphs and Finite State Automata Nicolae Brinzei Systems Dependability Assessment. Modeling with Graphs and Finite State Automata Новинка

Nicolae Brinzei Systems Dependability Assessment. Modeling with Graphs and Finite State Automata

6019.64 руб.
Presents recent developments of probabilistic assessment of systems dependability based on stochastic models, including graph theory, finite state automaton and language theory, for both dynamic and hybrid contexts.
Claudio Oleari Standard Colorimetry. Definitions, Algorithms and Software Claudio Oleari Standard Colorimetry. Definitions, Algorithms and Software Новинка

Claudio Oleari Standard Colorimetry. Definitions, Algorithms and Software

6326.44 руб.
Colour is a sensation and as such it is a subjective and incommunicable quantity. Colour measurement is possible because we can create a correspondence between colour sensations and the light radiations that stimulate them. This correspondence concerns the physics of light radiation, the physiology of the visual process and the psychology of vision. Historically, in parallel to standard colorimetry, systems for colour ordering have been developed that allow colour specifications in a very practical and concrete way, based on the direct vision of material colour samples arranged in colour atlases. Colour-ordering systems are sources of knowledge of colour vision, which integrate standard colorimetry. Standard Colorimetry: Definitions, Algorithms and Software: Describes physiology and psychophysics useful to understand colorimetry Considers all the photometric and colorimetric systems standardized by CIE (XYZ, CIELAB, CIELUV, LMS) Presents colorimetric instrumentation in order to guide the reader toward colorimetric practice Discusses colorimetric computation to understand the meaning of numerical colour specification Considers colorimetry in colour syntheses and in imaging colour reproduction Includes ready-to-use, freely-available software, “Colorimetric eXercise”, which has multiple toolboxes dedicated to displaying CIE systems, atlases, any colour and its whole numerical specification colour-vision phenomena and tests Standard Colorimetry: Definitions, Algorithms and Software is an accessible and valuable resource for students, lecturers, researchers and laboratory technicians in colour science and image technology. Follow this link to download the free software “Colorimetric eXercise”: http://booksupport.wiley.com/ Standard Colorimetry: Definitions, Algorithms and Software is published in partnership with the Society of Dyers and Colourists (SDC). Find out more at www.wiley.com/go/sdc
Theodor Holm Nelson Philosophy of Hypertext Theodor Holm Nelson Philosophy of Hypertext Новинка

Theodor Holm Nelson Philosophy of Hypertext

3614 руб.
Ted Nelson's PhD thesis, 2002, with emphasis on philosophy of description and connection. Nelson sees everything as connected; writing is the difficult process of subtraction and sequentializing. Nelson argues that parallel, connected pages are the most general form of writing. This combines both sequence (on the page) and connection (between pages). Parallel pages offer many variations and possibilities, and can best represent not only such historic connections as the Talmud, the Rosetta Stone, but history itself.
Sarkar Souradip Network on Chip Based Hardware Accelerators for Computational Biology Sarkar Souradip Network on Chip Based Hardware Accelerators for Computational Biology Новинка

Sarkar Souradip Network on Chip Based Hardware Accelerators for Computational Biology

8652 руб.
The focus of this work is the design and performance evaluation of Network on Chip (NoC) based multi-core hardware accelerators for computational biology. Sequence analysis and phylogenetic reconstruction are the two problems in this domain which have been addressed here. An effective approach to speed up such operations is to integrate a very high number of processing elements in a single chip so that the massive scales of fine-grain parallelism inherent in this application can be exploited efficiently. Network-on-Chip (NoC) is a very efficient method to achieve such large scale integration. Specifically, we (i) propose optimized NoC architectures for different sequence alignment algorithms that were originally designed for distributed memory parallel computers, (ii) a custom NoC architecture for solving the breakpoint phylogeny problem (iii) provide a thorough comparative evaluation of their respective performance and energy dissipation.
It Workers. Human Capital Issues in a Knowledge Based Environment (PB) It Workers. Human Capital Issues in a Knowledge Based Environment (PB) Новинка

It Workers. Human Capital Issues in a Knowledge Based Environment (PB)

5814 руб.
The goal of this book is to serve as a gathering of knowledge and ideas at the intersection of the human resource management (HRM) andmanagement information systems (MIS)/information technology (IT) fields. In striving toward achieving this goal we have relied on authorswho responded to our call for work within this intersection. As described more fully below, the chapters clustered into four topic areas: (1)effective management of IT workers, (2) IT workers and their careers, (3) diversity in IT, and (4) organizational issues. Thus, this bookfocuses on selected areas within the intersection of these fields rather than covering the entire intersection. Of course, the broad goal of thisbook could not be completely fulfilled - and even if it were, such knowledge would be continually overtaken by the ongoing evolution ofpeople, technology, and their interactions. However, in the process of undertaking this project, we have had the opportunity to make someobservations about the current state of knowledge regarding IT workers, the human capital that makes it possible for organizations in aknowledge-based economy to plan, create, integrate, operate, and maintain their various IT-based systems.
Michael Bowles Machine Learning in Python. Essential Techniques for Predictive Analysis Michael Bowles Machine Learning in Python. Essential Techniques for Predictive Analysis Новинка

Michael Bowles Machine Learning in Python. Essential Techniques for Predictive Analysis

3858.84 руб.
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.
Ramashri Tirumala Hybrid Image Watermarking Algorithms Ramashri Tirumala Hybrid Image Watermarking Algorithms Новинка

Ramashri Tirumala Hybrid Image Watermarking Algorithms

8789 руб.
This book provides hybrid robust watermarking algorithms using content based features of an image, various image transforms such as DCT, DWT, SVD are used and the d-sequence acts as a key which gives security to the system. Four distinct blind and non-blind watermarking algorithms are developed. The analysis of results should help shed some light on this new concept adopted in developing the watermarking algorithms, and should be particularly useful to professionals in publishing industries, broadcast monitoring, medical applications, data security or anyone else who may be considering the field of data security /authentication.
Daniel Zingaro Invariants. A Generative Approach to Programming Daniel Zingaro Invariants. A Generative Approach to Programming Новинка

Daniel Zingaro Invariants. A Generative Approach to Programming

3639 руб.
Algorithms are central to all areas of computer science, from compiler construction to numerical analysis to artificial intelligence. Throughout your academic and professional careers, you may be required to construct new algorithms, analyze existing algorithms, or modify algorithms to suit new purposes. How do we know that such algorithms are correct? One method involves making claims about how we expect our programs to operate, and then constructing code that carries out these tasks. The key component of such reasoning is the invariant, and is the topic of this book. In these pages, you will study how invariants are developed, how they are used to construct correct algorithms, and how they are helpful in analyzing existing programs. Along the way, you'll be introduced to some classic sorting, searching and mathematical algorithms, and even some solutions to games and logic puzzles. These examples, though, are only conduits for the loftier goal: understanding why algorithms work.
Zacharias Voulgaris, Yunus Emrah Bulut AI for Data Science. Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond Zacharias Voulgaris, Yunus Emrah Bulut AI for Data Science. Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond Новинка

Zacharias Voulgaris, Yunus Emrah Bulut AI for Data Science. Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond

4789 руб.
Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and Julia code.Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field of AI, and will learn when to use each framework to tackle projects in our increasingly complex world.The first two chapters introduce the field, with Chapter 1 surveying Deep Learning models and Chapter 2 providing an overview of algorithms beyond Deep Learning, including Optimization, Fuzzy Logic, and Artificial Creativity.The next chapters focus on AI frameworks; they contain data and Python and Julia code in a provided Docker, so you can practice. Chapter 3 covers Apache’s MXNet, Chapter 4 covers TensorFlow, and Chapter 5 investigates Keras. After covering these Deep Learning frameworks, we explore a series of optimization frameworks, with Chapter 6 covering Particle Swarm Optimization (PSO), Chapter 7 on Genetic Algorithms (GAs), and Chapter 8 discussing Simulated Annealing (SA).Chapter 9 begins our exploration of advanced AI methods, by covering Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Chapter 10 discusses optimization ensembles and how they can add value to the Data Science pipeline.Chapter 11 contains several alternative AI frameworks including Extreme Learning Machines (ELMs), Capsule Networks (CapsN...
Kadri Ouahab, Adel Abdelhadi Ant Colony Algorithm in Fault Diagnosis Kadri Ouahab, Adel Abdelhadi Ant Colony Algorithm in Fault Diagnosis Новинка

Kadri Ouahab, Adel Abdelhadi Ant Colony Algorithm in Fault Diagnosis

5414 руб.
Fachbuch aus dem Jahr 2016 im Fachbereich Informatik - Angewandte Informatik, , Sprache: Deutsch, Abstract: In this book, we propose several modules of diagnosis for complex and dynamic systems. These modules are based on the three algorithms colony of ants, which are AntTreeStoch, Lumer & Faieta and Binary ant colony. These algorithms have been chosen for their simplicity and their vast field of application. However, these algorithms cannot be used under their basal form for the development of diagnostic modules since they have several limitations.We have also proposed several adaptations in order that these algorithms can be used in diagnostic modules. We have proposed a parallel version of the algorithm AntTreeStoch based on a reactive multi-agents system. This version allows minimizing the influence of initial sort on the outcome of classification. We have also introduced a new parameter called Sid, which allows several ants to connect to the same position, and we have modified the movements of ants by promoting the path of the ant the most similar.For the algorithm Lumer & Faieta, we have accelerated the speed of construction of classes by adding a speed setting different for each Ant. To reduce the number of movements, we have proposed a new variable that allows saving the identifiers of objects displaced by the same Ant. To improve the quality of classification, we have also added to the algorithm of the indices to report the classes trunks constructed. For the...

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A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.
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