Indexed by:期刊论文
Date of Publication:2010-10-15
Journal:NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
Included Journals:SCIE、EI、Scopus
Volume:73
Issue:8
Page Number:2558-2565
ISSN No.:0362-546X
Key Words:Karush-Kuhn-Tucker point; Nonconvex nonlinear programming problems; Initial points
Abstract:In this paper, by introducing C(2) mappings xi(i)(x, z(i)), i = 1, ..., m and using the idea of the aggregate function method, a new aggregate constraint homotopy method is proposed to solve the Karush-Kuhn-Tucker (KKT) point of nonconvex nonlinear programming problems. Compared with the previous results, the choice scope of initial points is greatly enlarged, so use of the new aggregate constraint homotopy method may improve the computational efficiency of reduced predictor-corrector algorithms. (C) 2010 Elsevier Ltd. All rights reserved.
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Gender:Male
Alma Mater:吉林大学
Degree:Doctoral Degree
School/Department:数学科学学院
Discipline:Computational Mathematics. Financial Mathematics and Actuarial Science
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