Numerical Optimization

Inbunden, Engelska, 2006

Av Jorge Nocedal, Stephen Wright

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Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research.

Produktinformation

Utgivningsdatum2006-07-27
Mått178 x 235 x 41 mm
Vikt1 286 g
FormatInbunden
SpråkEngelska
SerieSpringer Series in Operations Research and Financial Engineering
Antal sidor664
Upplaga2
FörlagSpringer-Verlag New York Inc.
ISBN9780387303031

Tillhör följande kategorier

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.

MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas... I recommend this excellent book to everyone who is interested in optimization problems."