Experimental Methods for the Analysis of Optimization Algorithms, Thomas Bartz-Beielstein; Marco Chiarandini; Lu?s P

Название: Network optimization problems : algorithms, applications and complexity
ISBN: 9810212771 ISBN-13(EAN): 9789810212773
Издательство: World Scientific Publishing
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Цена: 107920.00 T
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Описание: The purpose of this book is to cover a spectrum of developments in network optimization problems, from linear networks to general nonconvex network flow problems.

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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Цена: 172350.00 T
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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: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Автор: Kazimierz Malanowski; Koichi Mizukami
Название: Analysis and Algorithms of Optimization Problems
ISBN: 3540166602 ISBN-13(EAN): 9783540166603
Издательство: Springer
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Цена: 81050.00 T
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Автор: Emmanuel Laporte; Patrick Le Tallec
Название: Numerical Methods in Sensitivity Analysis and Shape Optimization
ISBN: 1461265983 ISBN-13(EAN): 9781461265986
Издательство: Springer
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Цена: 60940.00 T
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Описание: Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.

Автор: Vincenzo Capasso; Jacques Periaux
Название: Multidisciplinary Methods for Analysis, Optimization and Control of Complex Systems
ISBN: 3642060978 ISBN-13(EAN): 9783642060977
Издательство: Springer
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Цена: 149060.00 T
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Описание: Part I Lectures: A computational fluid­structure interaction analysis of a fiber­reinforced stentless aortic valve, J. De Hart, G.W.M. Peters, P.J.G. Schreurs, F.P.T. Baaijens; Nonlinear Inverse Problems: Theoretical Aspects and Some Industrial Applications, Heinz W. Engl, Philipp Kugler; Numerical Methods for the Simulation of Incompressible Viscous Flow: An Introduction, Roland Glowinski, Tsorng­Whay, Pan, L. Hector Juarez V. Edward Dean.- Part II Speakers: Data assimilation methods for an oceanographic problem, Didier Auroux, Jacques Blum; Ant colonies: a nature inspired paradigm for the mathematical modelling of self­organizing systems, Vincenzo Capasso, Daniela Morale; Distribution Theoretic Approach to Multi­phase Flow, Hideo Kawarada, E. Baba, M. Okada, H. Suito; An Ant System Heuristic for the Two­Dimensional Finite Bin Packing Problem: preliminary results, Marco A. Boschetti, Vittorio Maniezzo; Distributed Multidisciplinary Design Optimisation in Aeronautics using Evolutionary Algorithms, Game Theory and Hierarchy, Eric J. Whitney, Luis F. Gonzalez, Jacques Pйriaux; Distributed Multidisciplinary Design Optimisation in Aeronautics using Evolutionary Algorithms, Game Theory and Hierarchy, Eric J. Whitney, Luis F. Gonzalez, Jacques Pйriaux.

Автор: Piero Barone; Arnoldo Frigessi; Mauro Piccioni
Название: Stochastic Models, Statistical Methods, and Algorithms in Image Analysis
ISBN: 0387978100 ISBN-13(EAN): 9780387978109
Издательство: Springer
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Цена: 111790.00 T
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Описание: This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction.

Автор: Jan Vahrenhold
Название: Experimental Algorithms
ISBN: 3642020100 ISBN-13(EAN): 9783642020100
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the 8th International Symposium on Experimental and Efficient Algorithms, SEA 2009, held in Dortmund, Germany, in June 2009. This work presents research on experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications.

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
Наличие на складе: Невозможна поставка.
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: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 46540.00 T
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Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University.