Numerical Optimization

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For th...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Nocedal, Jorge (Auteur), Wright, Stephen (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2006.
Édition:2nd ed. 2006.
Collection:Springer Series in Operations Research and Financial Engineering,
Sujets:
Mathematical optimization.
Calculus of variations.
System theory.
Control theory.
Mathematics-Data processing.
Operations research.
Optimization.
Calculus of Variations and Optimization.
Systems Theory, Control .
Computational Mathematics and Numerical Analysis.
Operations Research and Decision Theory.
Accès en ligne:Texto Completo
Table des matières:
  • Fundamentals of Unconstrained Optimization
  • Line Search Methods
  • Trust-Region Methods
  • Conjugate Gradient Methods
  • Quasi-Newton Methods
  • Large-Scale Unconstrained Optimization
  • Calculating Derivatives
  • Derivative-Free Optimization
  • Least-Squares Problems
  • Nonlinear Equations
  • Theory of Constrained Optimization
  • Linear Programming: The Simplex Method
  • Linear Programming: Interior-Point Methods
  • Fundamentals of Algorithms for Nonlinear Constrained Optimization
  • Quadratic Programming
  • Penalty and Augmented Lagrangian Methods
  • Sequential Quadratic Programming
  • Interior-Point Methods for Nonlinear Programming.

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