Numerical Optimization Reviews

Author: Jorge Nocedal
Edition: 2nd
Publisher: Springer
Binding: Hardcover
ISBN: 0387303030
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering.Numerical Optimization review. Read full reviews of Numerical optimization theoretical and practical aspects.

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Large Sparse Numerical Optimization by Coleman CF

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Numerical Optimization has numerous applications in engineering sciences, operations research, economics, finance, etc. Starting with illustrations of this ubiquitous character, this book is essentially devoted to numerical algorithms for optimization, which are exposed in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. The theoretical bases of the subject, such as optimality conditions, Lagrange multipl

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Numerical Optimization: Jorge Nocedal, Stephen Wright

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Categories: Computer algorithms, Mathematical optimization, Numerical analysis->Data processin. Contributors: Joseph-Frederic Bonnans - Author. Format: Paperback

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Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis.Extremum-seeking Control and Applications is divided into two parts. In the first, the authors review existing analog-optimization-based extremum-seeking control including gradient-, perturbation- and sliding-mode-based control designs. They then propose a novel numerical-optimization-based extremum-seeking control based on optimization algori

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Numerical Optimization Reviews

One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.