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Numerical optimization : theoretical and practical aspects -2nd Ed.

By: J. Frédéric BonnansContributor(s): J. Charles Gilbert | Claude Lemaréchal | Claudia A. SagastizábalMaterial type: Text

TextSeries: UniversitextPublication details: New York: Springer-Verlag, [c2006]Edition: 2ndDescription: 490 pISBN: 9783540354451LOC classification: QA297

Contents:

General Introduction Part - I Unconstrained Problems Part - II Nonsmooth Optimization Part - III Newton's Methods in Constrained Optimization Part - IV Interior-Point Algorithms for Linear and QuadraticOptimization

Summary: Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. Most of the algorithms are explained in a detailed manner, allowing straightforward implementation. Theoretical aspects of the approaches chosen are also addressed with care, often using minimal assumptions. This new edition contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical, description, when coming to actual implementation. Besides, the nonsmooth optimization part has been substantially reorganized and expanded.--- summary provided by publisher

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Item type	Current library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Book	ICTS	Mathematics	Rack No 5	QA297 (Browse shelf (Opens below))	Available		02532

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Previous	QA297 Fundamentals of numerical computation	QA297 Accuracy and stability of numerical algorithms : 2nd ed.	QA297 Numerical analysis	QA297 Numerical optimization : theoretical and practical aspects -2nd Ed.	QA297 Numerical analysis: a practical approach	QA297 A theoretical introduction to numerical analysis	QA297 Numerical methods : analysis, algebra, ordinary differential equations	Next

General Introduction
Part - I Unconstrained Problems
Part - II Nonsmooth Optimization
Part - III Newton's Methods in Constrained Optimization
Part - IV Interior-Point Algorithms for Linear and QuadraticOptimization

Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. Most of the algorithms are explained in a detailed manner, allowing straightforward implementation. Theoretical aspects of the approaches chosen are also addressed with care, often using minimal assumptions.

This new edition contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical, description, when coming to actual implementation. Besides, the nonsmooth optimization part has been substantially reorganized and expanded.--- summary provided by publisher

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