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High Performance Algorithms and Software for Nonlinear Optimization, Gianni Pillo; Almerico Murli


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Цена: 139750.00T
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При оформлении заказа до: 2025-07-28
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Автор: Gianni Pillo; Almerico Murli
Название:  High Performance Algorithms and Software for Nonlinear Optimization
ISBN: 9781461379560
Издательство: Springer
Классификация:



ISBN-10: 1461379563
Обложка/Формат: Paperback
Страницы: 416
Вес: 0.60 кг.
Дата издания: 17.09.2011
Серия: Applied Optimization
Язык: English
Издание: Softcover reprint of
Иллюстрации: Biography
Размер: 234 x 156 x 22
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume contains the edited texts of the lectures presented at the Workshop on High Performance Algorithms and Software for Nonlinear Optimization held in Erice, Sicily, at the G.

Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.

Автор: Korte, Bernhard, Vygen, Jens
Название: Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.
ISBN: 3642244874 ISBN-13(EAN): 9783642244872
Издательство: Springer
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Цена: 60510.00 T
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Описание: This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before. Throughout, it contains complete but concise proofs, and also provides numerous exercises and references. This fifth edition has again been updated, revised, and significantly extended, with more than 60 new exercises and new material on various topics, including Cayley's formula, blocking flows, faster b-matching separation, multidimensional knapsack, multicommodity max-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization.

Nature-Inspired Optimization Algorithms

Автор: Yang Xin She
Название: Nature-Inspired Optimization Algorithms
ISBN: 0128100605 ISBN-13(EAN): 9780128100608
Издательство: Elsevier Science
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Цена: 83080.00 T
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Описание: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.

Computational Issues in High Performance Software for Nonlinear Optimization

Автор: Almerico Murli; Gerardo Toraldo
Название: Computational Issues in High Performance Software for Nonlinear Optimization
ISBN: 1475784392 ISBN-13(EAN): 9781475784398
Издательство: Springer
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Цена: 139750.00 T
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Описание: Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area.

Efficient Algorithms for Global Optimization Methods in Computer Vision

Автор: Andr?s Bruhn; Thomas Pock; Xue-Cheng Tai
Название: Efficient Algorithms for Global Optimization Methods in Computer Vision
ISBN: 3642547737 ISBN-13(EAN): 9783642547737
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.

Gems of Combinatorial Optimization and Graph Algorithms

Автор: Andreas S. Schulz; Martin Skutella; Sebastian Stil
Название: Gems of Combinatorial Optimization and Graph Algorithms
ISBN: 3319249703 ISBN-13(EAN): 9783319249704
Издательство: Springer
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Цена: 65210.00 T
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Описание: Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? This volume is aimed at readers with some familiarity of combinatorial optimization, and appeals to researchers, graduate students, and advanced undergraduate students alike.

Performance Analysis and Optimization of Multi-Traffic on Communication Networks

Автор: Leonid Ponomarenko; Che Soong Kim; Agassi Melikov
Название: Performance Analysis and Optimization of Multi-Traffic on Communication Networks
ISBN: 364242340X ISBN-13(EAN): 9783642423406
Издательство: Springer
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Цена: 121110.00 T
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Описание: Communication has became one of the most dynamical branches of an infrastructure of a modern society. This book contains a unique approach to define the effectiveness of various access strategies depending on real load of different type of calls.

Combinatorial Optimization and Graph Algorithms

Автор: Takuro Fukunaga; Ken-ichi Kawarabayashi
Название: Combinatorial Optimization and Graph Algorithms
ISBN: 9811061467 ISBN-13(EAN): 9789811061462
Издательство: Springer
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Цена: 102480.00 T
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Описание: Covering network designs, discrete convex analysis, facility location and clustering problems, matching games, and parameterized complexity, this book discusses theoretical aspects of combinatorial optimization and graph algorithms.

Advanced Optimization by Nature-Inspired Algorithms

Автор: Omid Bozorg-Haddad
Название: Advanced Optimization by Nature-Inspired Algorithms
ISBN: 9811052204 ISBN-13(EAN): 9789811052200
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

Experimental Methods for the Analysis of Optimization Algorithms

Автор: Thomas Bartz-Beielstein; Marco Chiarandini; Lu?s P
Название: Experimental Methods for the Analysis of Optimization Algorithms
ISBN: 364244590X ISBN-13(EAN): 9783642445903
Издательство: Springer
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Цена: 121110.00 T
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Описание: With contributions from leaders in the field, this volume assesses the main issues in the experimental analysis of algorithms, examines their developmental cycle, and demonstrates how to configure and tune algorithms with advanced experimental techniques.

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Nature-Inspired Algorithms and Applied Optimization

Автор: Xin-She Yang
Название: Nature-Inspired Algorithms and Applied Optimization
ISBN: 3319676687 ISBN-13(EAN): 9783319676685
Издательство: Springer
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Цена: 139750.00 T
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Описание: Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.


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