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Robust Discrete Optimization and Its Applications, Panos Kouvelis; Gang Yu


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Цена: 41787.00р.
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Автор: Panos Kouvelis; Gang Yu
Название:  Robust Discrete Optimization and Its Applications
ISBN: 9781441947642
Издательство: Springer
Классификация:





ISBN-10: 1441947647
Обложка/Формат: Paperback
Страницы: 358
Вес: 0.53 кг.
Дата издания: 03.12.2010
Серия: Nonconvex Optimization and Its Applications
Язык: English
Размер: 234 x 156 x 20
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book deals with decision making in environments of significant data un- certainty, with particular emphasis on operations and production management applications.


A First Course in Optimization Theory

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Optimization and Its Applications in Control and Data Sciences

Автор: Goldengorin
Название: Optimization and Its Applications in Control and Data Sciences
ISBN: 3319420542 ISBN-13(EAN): 9783319420547
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book focuses on recent research in modern optimization and its implications in control and data analysis. This book is a collection of papers from the conference “Optimization and Its Applications in Control and Data Science” dedicated to Professor Boris T. Polyak, which was held in Moscow, Russia on May 13-15, 2015.This book reflects developments in theory and applications rooted by Professor Polyak’s fundamental contributions to constrained and unconstrained optimization, differentiable and nonsmooth functions, control theory and approximation. Each paper focuses on techniques for solving complex optimization problems in different application areas and recent developments in optimization theory and methods. Open problems in optimization, game theory and control theory are included in this collection which will interest engineers and researchers working with efficient algorithms and software for solving optimization problems in market and data analysis. Theoreticians in operations research, applied mathematics, algorithm design, artificial intelligence, machine learning, and software engineering will find this book useful and graduate students will find the state-of-the-art research valuable.

Recent Advances in Optimization and its Applications in Engineering

Автор: Moritz Diehl; Francois Glineur; Elias Jarlebring;
Название: Recent Advances in Optimization and its Applications in Engineering
ISBN: 3642423752 ISBN-13(EAN): 9783642423758
Издательство: Springer
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Цена: 45712.00 р.
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Описание: Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, and a variety of exciting applications in science and engineering. It features in particular new methods and applications in the fields of optimal control, PDE-constrained optimization, nonlinear optimization, and convex optimization.

Real analysis with economic applications

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Цена: 17266.00 р.
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Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.

Nonlinear Optimization with Financial Applications

Автор: Bartholomew-Biggs Michael
Название: Nonlinear Optimization with Financial Applications
ISBN: 1402081103 ISBN-13(EAN): 9781402081101
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The book introduces the key ideas behind practical nonlinear optimization. Computational finance – an increasingly popular area of mathematics degree programs – is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material – which occupies about one-third of the text – is also sufficiently accessible to allow the book to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described, and their performance is demonstrated on a range of optimization problems arising in financial mathematics. Theoretical convergence properties of methods are stated, and formal proofs are provided in enough cases to be instructive rather than overwhelming. Practical behavior of methods is illustrated by computational examples and discussions of efficiency, accuracy and computational costs. Supporting software for the examples and exercises is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algorithm development and application and in teaching and research supervision.

Robust Discrete Optimization and Its Applications

Автор: Panos Kouvelis; Gang Yu
Название: Robust Discrete Optimization and Its Applications
ISBN: 0792342917 ISBN-13(EAN): 9780792342915
Издательство: Springer
Рейтинг:
Цена: 41787.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text deals with decision-making in environments of significant data uncertainty, with particular emphasis on operations and production management applications. It provides a comprehensive mathematical programming framework for robust decision making.


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