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A Globally Convergent Parallel SSLE Algorithm for Inequality Constrained Optimization
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A new parallel variable distribution algorithm based on interior point SSLE algorithm is proposed for solving inequality constrained optimization problems under the condition that the constraints are block-separable by the technology of sequential system of linear equation.
Each iteration of this algorithm only needs to solve three systems of linear equations with the same coefficient matrix to obtain the descent direction.
Furthermore, under certain conditions, the global convergence is achieved.
American Psychological Association (APA)
Luo, Zhijun& Wang, Lirong. 2014. A Globally Convergent Parallel SSLE Algorithm for Inequality Constrained Optimization. Journal of Mathematics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1041075
Modern Language Association (MLA)
Luo, Zhijun& Wang, Lirong. A Globally Convergent Parallel SSLE Algorithm for Inequality Constrained Optimization. Journal of Mathematics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1041075
American Medical Association (AMA)
Luo, Zhijun& Wang, Lirong. A Globally Convergent Parallel SSLE Algorithm for Inequality Constrained Optimization. Journal of Mathematics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1041075
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1041075