Algorithms and Complexity, Tiziana Calamoneri; Irene Finocchi; Guiseppe F. It

Название: Network optimization problems : algorithms, applications and complexity
ISBN: 9810212771 ISBN-13(EAN): 9789810212773
Издательство: World Scientific Publishing
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Цена: 16188.00 р. 23126.00 -30%
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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: Xiao Ningchuan
Название: GIS Algorithms
ISBN: 1446274330 ISBN-13(EAN): 9781446274330
Издательство: Sage Publications
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Цена: 9029.00 р.
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Описание: The critical algorithms used in GIS are notoriously difficult to both teach and understand. This book address the problem by combining rigorous formal language with example case studies and student exercises.

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642263275 ISBN-13(EAN): 9783642263279
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Автор: Brian Castellani; Frederic William Hafferty
Название: Sociology and Complexity Science
ISBN: 3642100139 ISBN-13(EAN): 9783642100130
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book explores the basics and the latest in the integration of sociology and complexity science. It offers an array of real-life applications and showcases a new method for studying social complexity called the Social Systems Toolbox.

Автор: Raymond Chiong
Название: Nature-Inspired Algorithms for Optimisation
ISBN: 3642101305 ISBN-13(EAN): 9783642101304
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Nature-inspired algorithms have become popular because many real-world optimization problems have become increasingly large, complex and dynamic. This book covers the latest algorithms and important studies for tackling various kinds of optimization problems.

Автор: Oleg B. Lupanov; Oktay M. Kasim-Zade; Alexander V.
Название: Stochastic Algorithms: Foundations and Applications
ISBN: 3540294988 ISBN-13(EAN): 9783540294986
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Constitutes the refereed proceedings of the Third International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2005, held in Moscow, Russia in October 2005. This title includes papers that cover both theoretical as well as applied aspects of stochastic computations with a special focus on the algorithmic ideas.

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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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. 

Автор: Allmendinger
Название: Structural Geology Algorithms
ISBN: 1107012007 ISBN-13(EAN): 9781107012004
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: This innovative lab book provides a unified methodology for problem solving in structural geology using linear algebra and computation. Containing over 60 exercises, and with adaptable MATLAB functions available online, this is the ideal resource for advanced undergraduates or beginning graduate students and a valuable reference for professional structural geologists.

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Автор: Nicholas Klomp; Glyn Rimmington; Suzanne Sadedin
Название: Complexity in Landscape Ecology
ISBN: 9048123917 ISBN-13(EAN): 9789048123919
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Provides a fresh perspective on traditional ecology. This work covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics.

Автор: Juraj Hromkovi?; Richard Kr?lovi?; Marc Nunkesser;
Название: Stochastic Algorithms: Foundations and Applications
ISBN: 3540748709 ISBN-13(EAN): 9783540748700
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Constitutes the proceedings of the 4th International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2007, held in Zurich, Switzerland, in September 2007. This book covers theoretical as well as applied aspects of stochastic computations with a focus on investigating the power of randomization in algorithmics.

Автор: Ashok Sengupta
Название: Chaos, Nonlinearity, Complexity
ISBN: 3642421601 ISBN-13(EAN): 9783642421600
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book explores non-extensive statistical mechanics in non-equilibrium thermodynamics, and presents an overview of the strong nonlinearity of chaos and complexity in natural systems, drawing on relevant mathematics from topology, measure-theory, inverse and ill-posed problems, set-valued analysis, and nonlinear functional analysis.