Online Optimization of Large Scale Systems, Martin Gr?tschel; Sven O. Krumke; Joerg Rambau

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

Автор: Martin Gr?tschel; Sven O. Krumke; Joerg Rambau
Название: Online Optimization of Large Scale Systems
ISBN: 3540424598 ISBN-13(EAN): 9783540424598
Издательство: Springer
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Описание: Opti- mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce- dures. , problems of the following type: - An elevator cannot know all transportation requests in advance.

Автор: Gianni Pillo; Massimo Roma
Название: Large-Scale Nonlinear Optimization
ISBN: 1441940146 ISBN-13(EAN): 9781441940148
Издательство: Springer
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Описание: This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.

Автор: Vladimir Tsurkov
Название: Large-scale Optimization
ISBN: 0792368177 ISBN-13(EAN): 9780792368175
Издательство: Springer
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Описание: Decomposition methods aim to reduce large-scale problems to simpler problems. For fixed weights, successively simpler aggregated problems are solved and the convergence of their solution to that of the original problem is analyzed. Block problems in which the coupling variables do not enter the binding constraints are studied.

Автор: Lorenz T. Biegler; Omar Ghattas; Matthias Heinkens
Название: Large-Scale PDE-Constrained Optimization
ISBN: 3540050450 ISBN-13(EAN): 9783540050452
Издательство: Springer
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Описание: Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization.

Автор: William W. Hager; D.W. Hearn; Panos M. Pardalos
Название: Large Scale Optimization
ISBN: 1461336341 ISBN-13(EAN): 9781461336341
Издательство: Springer
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Описание: On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied Optimization, was held at the University of Florida. Accurate modeling of scientific problems often leads to the formulation of large- scale optimization problems involving thousands of continuous and/or discrete vari- ables.

Автор: Lorenz T. Biegler; Thomas Coleman; Andrew r. Conn;
Название: Large-Scale Optimization with Applications
ISBN: 1461268702 ISBN-13(EAN): 9781461268703
Издательство: Springer
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Описание: Many important molecular conformation problems, such as protein folding, are expressed as global minimization problems. It is the fact that local minimization is insufficient, that markedly differentiates this volume from the previous two. Unfortunately, global minimization problems that result from models of molecular conformation are usually intractable. For example, simple 1-dimensional versions of distance conformation problems are NP-hard. Nevertheless, there has been significant recent progress in the design of promising heuristic strategies (often involving the use of high- performance parallel computers) for computing approximate global minimizers. The purpose of the sessions represented in this volume was to discuss the new algorithmic advances for global minimization in the context of protein folding and related molecular minimization problems. Emphasis was on practical shortcomings of current approaches, outstanding problems and questions, and the use of high-performance parallel computers.

Автор: Lorenz T. Biegler; Thomas F. Coleman; Andrew R. Co
Название: Large-Scale Optimization with Applications
ISBN: 1461273579 ISBN-13(EAN): 9781461273578
Издательство: Springer
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Описание: Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from

Автор: Richard Kipp Martin
Название: Large Scale Linear and Integer Optimization: A Unified Approach
ISBN: 1461372585 ISBN-13(EAN): 9781461372585
Издательство: Springer
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Описание: This is a textbook about linear and integer linear optimization. The major goal of the book is to develop the theory of linear and integer linear optimization in a unified manner and then demonstrate how to use this theory in a modern computing environment to solve very large real world problems.

Автор: I. Litvinchev; Vladimir Tsurkov
Название: Aggregation in Large-Scale Optimization
ISBN: 1461348129 ISBN-13(EAN): 9781461348122
Издательство: Springer
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Описание: When analyzing systems with a large number of parameters, the dimen- sion of the original system may present insurmountable difficulties for the analysis.

Автор: Lorenz T. Biegler; Thomas F. Coleman; Andrew R. Co
Название: Large-Scale Optimization with Applications
ISBN: 0387982868 ISBN-13(EAN): 9780387982861
Издательство: Springer
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Описание: The major themes of the volumes on "Large-Scale Optimization with Applications" include an assessment of the state of the art in optimization algorithms, as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equations.

Автор: Lorenz T. Biegler; Thomas Coleman; Andrew r. Conn;
Название: Large-Scale Optimization with Applications
ISBN: 0387982884 ISBN-13(EAN): 9780387982885
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The major themes of the volumes on "Large-Scale Optimization with Applications" include an assessment of the state of the art in optimization algorithms, as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equations.