Optimization by vector space methods

Bibliographic Information

Optimization by vector space methods

David G. Luenberger

(Series in decision and control)(Wiley professional paperback series)

Wiley, c1969

  • : pbk

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Note

Bibliography: p. 312-319

Includes index

Description and Table of Contents

Description

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.

Table of Contents

Linear Spaces. Hilbert Space. Least-Squares Estimation. Dual Spaces. Linear Operators and Adjoints. Optimization of Functionals. Global Theory of Constrained Optimization. Local Theory of Constrained Optimization. Iterative Methods of Optimization. Indexes.

by "Nielsen BookData"

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