摘要:

In this paper we consider infinite dimensional optimization problems with equality constraints. The basic underlying algorithm is a reduced SQP method. We give a global convergence proof in Hilbert space and extend this analysis to inexact reduced SQP methods. These methods are useful when discretizing the infinite dimensional problems and solving the resulting large scale discretized optimization problems. The convergence analysis takes into account the Maratos effect which occurs for nonsmooth norms. The inexact reduced SQP method is applied to a discretized parabolic control problem

ISSN:1055-6788    

DOI:10.1080/10556789708805646

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor

摘要:

In this paper, we consider the optimization method for monotone variational inequality probleln on polyhedral sets. First, we consider the mixed complementarity problem based on the original problem. Then, a merit function for the mixed complementarity problem is proposed and s desirable properties of the merit function are obtained. Under certain assumptions, we show tthat any stationary point of the merit function is a solution of the original problem. A descent metlpod for the optimization problem is proposed and the global convergence of the method is shown

ISSN:1055-6788    

DOI:10.1080/10556789708805647

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor

摘要:

Chandrasekaran's algorithm for solving the linear complementarity problem with a Z-matrix is extended to solve the Generalized Linear Complementarity Problem (GLCP) when the is a vertical block Z-matrix of type (m1,…,mn). The extended scheme solves the GLCP in at mostncycles by either finding a solution or declaring that none exists. Numerical examples are given to demonstrate the effectiveness of the algorithm

ISSN:1055-6788    

DOI:10.1080/10556789708805648

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor

摘要:

For calculation of established regimes of electrical network and minimization of energetical losses numerical methods are offered. These are the methods of non-linear equations solving and methods of optimization. The methods possess the high speed of convergence

ISSN:1055-6788    

DOI:10.1080/10556789708805649

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor

摘要:

János D. Pintér:Global Optimization in Action:Continuous and Lipschitz Optimization:Algorithms, Implementations and Applications. Nonconvex Optimization and its Applications, Volume6, Kluwer Academic Publishers, Dordrecht, 1996, 478 pages, ISBN 0-7923-3757-3

ISSN:1055-6788    

DOI:10.1080/10556789708805650

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor

ISSN:1055-6788    

DOI:10.1080/10556789708805645

出版商:Gordon and Breach Science Publishers    

年代:1997

数据来源: Taylor