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Numerical Optimization
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Numerical Optimization

Numerical Optimization

Theoretical and Practical Aspects

Frédéric Bonnans, J. Charles Gilbert, Claude Lemaréchal, Claudia A. Sagastizabal

432 pages, parution le 18/02/2003

Résumé

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 multipliers or duality, although recalled, are assumed known. Most of the algorithms described in the book are explained in a detailed manner, allowing straightforward implementation.

This level of detail is intended to familiarize the reader with some of the crucial questions of numerical optimization: how algorithms operate, why they converge, difficulties that may be encountered and their possible remedies. Theoretical aspects of the approaches chosen are also addressed with care, often using minimal assumptions.

Contents

Preliminaries
  • General Introduction
Part I Unconstrained Problems
  • Line-Searches
  • Newtonian Methods
  • Conjugate Gradient
  • Special Methods
Part II Nonsmooth Optimization
  • Some Theory of Nonsmooth Optimization
  • Some Methods in Nonsmooth Optimization
  • Bundle Methods. The Quest of Descent
  • Decomposition and Duality
Part III Newton's Methods in Constrained Optimization
  • Background
  • Local Methods for Problems with Equality Constraints
  • Local Methods for Problems with Equality and Inequality Constraints
  • Exact Penalization
  • Globalization by Line-Search
  • Quasi-Newton Versions
Part IV Interior-Point Algorithms for Linear and Quadratic Optimization
  • Linearly Constrained Optimization and Simplex Algorithm
  • Linear Monotone Complementarity and Associated Vector Fields
  • Predictor-Corrector Algorithms
  • Non-Feasible Algorithms
  • Self-Duality
  • One-Step Methods
  • Complexity of Linear Optimization Problems with Integer Data
  • Karmarkar's Algorithm

L'auteur - Frédéric Bonnans

Frédéric Bonnans est directeur de recherche à l'INRIA et professeur chargé de cours à l'École Polytechnique.

Autres livres de Frédéric Bonnans

L'auteur - J. Charles Gilbert

INRIA Rocquencourt, Le Chesnay, France

L'auteur - Claude Lemaréchal

INRIA Rhône-Alpes, Montbonnot, France

L'auteur - Claudia A. Sagastizabal

IMPA, Rio de Janeiro, Brazil

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Frédéric Bonnans, J. Charles Gilbert, Claude Lemaréchal, Claudia A. Sagastizabal
Parution 18/02/2003
Nb. de pages 432
Format 15,5 x 23,5
Couverture Broché
Poids 650g
Intérieur Noir et Blanc
EAN13 9783540001911

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