Nonlinear optimization theory and algorithms : (the proceedings of an international summer school held at University of Bergamo, Italy, in September 1979 and repeated at the Hatfield Polytechnic, England, in July 1980)

Cover of: Nonlinear optimization |

Published by Birkhauser Boston in Cambridge, MA .

Written in English

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Subjects:

  • Mathematical optimization -- Congresses.,
  • Nonlinear theories -- Congresses.

Edition Notes

Bibliography, p.

Book details

Statementedited by L.C.W. Dixon, E. Spedicato, G.P. Szegö.
ContributionsDixon, L. C. W., Spedicato, E., Szegö, G. P. 1934-
Classifications
LC ClassificationsQA402.5
ID Numbers
Open LibraryOL21854318M
ISBN 103764330201

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Topics covered in Part I include basic convex analysis, optimality conditions, and Lagrangian by: This outstanding book fills the need for a recent introductory graduate textbook in nonlinear convex optimization. The book is divided into 2 parts: Part I deals with theory while Part II deals with algorithms for nonlinear convex optimization.

Topics covered in Part I include basic convex analysis, optimality conditions, and Lagrangian duality/5(7). is a platform for academics to share research papers.

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Vanderbei, Princeton University, author of Linear Programming. Local vs. Global optimum subject to: λ1 +λ2 +λ3 =1, λ1 ≥0, λ2 ≥0, λ3 ≥0. This is a nonlinear program in three variables λ1, λ2, and λ3. There are alternative ways to approach this Size: 1MB. This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences.

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An introduction to algorithms for nonlinear optimization 17 Modified-Newton methods Of course, away from a local minimizer there is no reason to believe that H k will be positive definite. The thing that matters is that a nonlinear program incorporates in any event one nonlinear function, which could be the target function or a few or the majority of the constraints.

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