Optimization Techniques for Solving Complex Problems

Optimization Techniques for Solving Complex Problems
Title Optimization Techniques for Solving Complex Problems PDF eBook
Author Enrique Alba
Publisher John Wiley & Sons
Pages 500
Release 2009-03-23
Genre Computers
ISBN 0470293322

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Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

Distributed Computing and Optimization Techniques

Distributed Computing and Optimization Techniques
Title Distributed Computing and Optimization Techniques PDF eBook
Author Sudhan Majhi
Publisher Springer Nature
Pages 855
Release 2022-09-12
Genre Computers
ISBN 9811922810

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This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

Parallel and Distributed Computation: Numerical Methods

Parallel and Distributed Computation: Numerical Methods
Title Parallel and Distributed Computation: Numerical Methods PDF eBook
Author Dimitri Bertsekas
Publisher Athena Scientific
Pages 832
Release 2015-03-01
Genre Mathematics
ISBN 1886529159

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This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Title Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers PDF eBook
Author Stephen Boyd
Publisher Now Publishers Inc
Pages 138
Release 2011
Genre Computers
ISBN 160198460X

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Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.

Optimization Methods Applied to Power Systems

Optimization Methods Applied to Power Systems
Title Optimization Methods Applied to Power Systems PDF eBook
Author Francisco G. Montoya
Publisher MDPI
Pages 382
Release 2019-07-26
Genre Technology & Engineering
ISBN 3039211307

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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Computer Applications in Engineering and Management

Computer Applications in Engineering and Management
Title Computer Applications in Engineering and Management PDF eBook
Author Parveen Berwal
Publisher CRC Press
Pages 365
Release 2022-04-07
Genre Computers
ISBN 1000555720

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The book Computer Applications in Engineering and Management is about computer applications in management, electrical engineering, electronics engineering, and civil engineering. It covers the software tools for office automation, introduces the basic concepts of database management, and provides an overview about the concepts of data communication, internet, and e-commerce. Additionally, the book explains the principles of computing management used in construction of buildings in civil engineering and the role of computers in power grid automation in electronics engineering. Features Provides an insight to prospective research and application areas related to industry and technology Includes industry-based inputs Provides a hands-on approach for readers of the book to practice and assimilate learning This book is primarily aimed at undergraduates and graduates in computer science, information technology, civil engineering, electronics and electrical engineering, management, academicians, and research scholars.

Concurrent and Distributed Computing in Java

Concurrent and Distributed Computing in Java
Title Concurrent and Distributed Computing in Java PDF eBook
Author Vijay K. Garg
Publisher John Wiley & Sons
Pages 331
Release 2005-01-28
Genre Computers
ISBN 0471721263

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Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists of two parts. The first part deals with techniques for programming in shared-memory based systems. The book covers concepts in Java such as threads, synchronized methods, waits, and notify to expose students to basic concepts for multi-threaded programming. It also includes algorithms for mutual exclusion, consensus, atomic objects, and wait-free data structures. The second part of the book deals with programming in a message-passing system. This part covers resource allocation problems, logical clocks, global property detection, leader election, message ordering, agreement algorithms, checkpointing, and message logging. Primarily a textbook for upper-level undergraduates and graduate students, this thorough treatment will also be of interest to professional programmers.