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

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: 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: 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: 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: 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.

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: 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: 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: 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: Aimo T?rn; Julius ?ilinskas
Название: Models and Algorithms for Global Optimization
ISBN: 1441942203 ISBN-13(EAN): 9781441942203
Издательство: Springer
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Описание: The research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems.

Автор: E. Spedicato
Название: Algorithms for Continuous Optimization
ISBN: 9401066523 ISBN-13(EAN): 9789401066525
Издательство: Springer
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Цена: 81050.00 T
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Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Barga, Italy, September 5--18, 1993

Автор: Davidor Yuval
Название: Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization
ISBN: 9810202172 ISBN-13(EAN): 9789810202170
Издательство: World Scientific Publishing
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Цена: 43290.00 T
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Описание: Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems.This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies.Request Inspection Copy