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Nonlinear Optimization [electronic resource] : Lectures given at the C.I.M.E. Summer School held in Cetraro, Italy, July 1-7, 2007 / by Immanuel M. Bomze, Vladimir F. Demyanov, Roger Fletcher, Tamás Terlaky ; edited by Gianni Di Pillo, Fabio Schoen.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Mathematics ; 1989Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Description: XIII, 279 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642113390
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.6 23
LOC classification:
  • QA402-402.37
  • T57.6-57.97
Online resources:
Contents:
Global Optimization: A Quadratic Programming Perspective -- Nonsmooth Optimization -- The Sequential Quadratic Programming Method -- Interior Point Methods for Nonlinear Optimization.
In: Springer eBooksSummary: This volume presents recent advances in continuous optimization; it is authored by four well-known experts in the field and presents classical as well as advanced material on currently active research areas, such as: the family of Sequential Quadratic Programming methods for local constrained optimization, the study of Global Optimization by means of (non-convex) standard quadratic problems, Nonsmooth Optimization, and recent advances in Interior Point Methods for nonlinear optimization. The book is intended as a reference work for advanced research in the field of optimization theory and methods.
Item type: E-BOOKS
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Global Optimization: A Quadratic Programming Perspective -- Nonsmooth Optimization -- The Sequential Quadratic Programming Method -- Interior Point Methods for Nonlinear Optimization.

This volume presents recent advances in continuous optimization; it is authored by four well-known experts in the field and presents classical as well as advanced material on currently active research areas, such as: the family of Sequential Quadratic Programming methods for local constrained optimization, the study of Global Optimization by means of (non-convex) standard quadratic problems, Nonsmooth Optimization, and recent advances in Interior Point Methods for nonlinear optimization. The book is intended as a reference work for advanced research in the field of optimization theory and methods.

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