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A supermemory gradient projection algorithm for optimization problem with nonlinear constraints

A supermemory gradient projection algorithm for optimization problem with nonlinear constraints In this paper, by extending concept of the supermemory gradient method for unconstrained optimization problems, we present a supermemory gradient projection algorithm for nonlinear programming with nonlinear constraints. Under some suitable conditions we prove its global convergence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

A supermemory gradient projection algorithm for optimization problem with nonlinear constraints

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References (8)

Publisher
Springer Journals
Copyright
Copyright © 1992 by Science Press, Beijing, China and Allerton Press, Inc., New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02006741
Publisher site
See Article on Publisher Site

Abstract

In this paper, by extending concept of the supermemory gradient method for unconstrained optimization problems, we present a supermemory gradient projection algorithm for nonlinear programming with nonlinear constraints. Under some suitable conditions we prove its global convergence.

Journal

Acta Mathematicae Applicatae Sinica – Springer Journals

Published: Jul 13, 2005

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