Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design (The IMA Volumes in Mathematics and its Applications) Part I: Optimization in Inverse Problems and Design

Biegler, Lorenz T., Thomas F. Coleman and Andrew R. Conn

ISBN 10: 0387982868 / ISBN 13: 9780387982861

Published by Springer 01.08.1997., 1997

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204 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 469 23,6 x 15,5 x 1,8 cm, Gebundene Ausgabe. Seller Inventory # 384480

Bibliographic Details

Title: Large-Scale Optimization with Applications: ...

Publisher: Springer 01.08.1997.

Publication Date: 1997

Binding: Hardcover

Condition: Sehr gut

Edition: Auflage: 1997.

About this title

Synopsis:

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