Analysis and Algorithms of Optimization Problems, Kazimierz Malanowski; Koichi Mizukami

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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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.

Автор: J.Frederic Bonnans; Alexander Shapiro
Название: Perturbation Analysis of Optimization Problems
ISBN: 1461271290 ISBN-13(EAN): 9781461271291
Издательство: Springer
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Цена: 214280.00 T
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Описание: The main subject of this book is perturbation analysis of continuous optimization problems. In the last two decades considerable progress has been made in that area, and it seems that it is time now to present a synthetic view of many important results that apply to various classes of problems. The model problem that is considered throughout the book is of the form (P) Min/(x) subjectto G(x) E K. xeX Here X and Y are Banach spaces, K is a closed convex subset of Y, and /: X -+ IR and G: X -+ Y are called the objective function and the constraint mapping, respectively. We also consider a parameteriZed version (P ) of the above u problem, where the objective function / (x, u) and the constraint mapping G(x, u) are parameterized by a vector u varying in a Banach space U. Our aim is to study continuity and differentiability properties of the optimal value v(u) and the set S(u) of optimal solutions of (P ) viewed as functions of the parameter vector u.

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.

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Автор: Chandra Chekuri; Klaus Jansen; Jos? D.P. Rolim; Lu
Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540282394 ISBN-13(EAN): 9783540282396
Издательство: Springer
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Цена: 93160.00 T
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Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.

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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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.

Автор: Michel Goemans; Klaus Jansen; Jose D.P. Rolim; Luc
Название: Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
ISBN: 3540424709 ISBN-13(EAN): 9783540424703
Издательство: Springer
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Описание: These are the joint refereed proceedings of the 4th International Workshop on Approximation Algorithms for Optimization Problems, APPROX 2001 and of the 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001.

Автор: Ron Alterovitz; Ken Goldberg
Название: Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures
ISBN: 3642088740 ISBN-13(EAN): 9783642088742
Издательство: Springer
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Цена: 111790.00 T
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Описание: Written by Ron Alterovitz and Ken Goldberg, this monograph combines ideas from robotics, physically-based modeling, and operations research to develop new motion planning and optimization algorithms for image-guided medical procedures.

Автор: E. Spedicato
Название: Algorithms for Continuous Optimization
ISBN: 9401066523 ISBN-13(EAN): 9789401066525
Издательство: Springer
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Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Barga, Italy, September 5--18, 1993

Автор: Martin Gr?tschel; Laszlo Lovasz; Alexander Schrijv
Название: Geometric Algorithms and Combinatorial Optimization
ISBN: 3642782426 ISBN-13(EAN): 9783642782428
Издательство: Springer
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Описание: Moreover, despite the success of the interior point methods for the solution of explicitly given linear programs there is still no method known that solves implicitly given linear programs, such as those described in this book, and that is both practically and theoretically efficient.

Автор: Masatoshi Sakawa
Название: Genetic Algorithms and Fuzzy Multiobjective Optimization
ISBN: 146135594X ISBN-13(EAN): 9781461355946
Издательство: Springer
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Цена: 139750.00 T
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Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132235398 ISBN-13(EAN): 9788132235392
Издательство: Springer
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Цена: 95770.00 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.