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An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization
Author
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Motivated by the method of Su and Pu (2009), we present an improved nonmonotone filter trust region algorithm for solving nonlinear equality constrained optimization.
In our algorithm a modified nonmonotone filter technique is proposed and the restoration phase is not needed.
At every iteration, in common with the composite-step SQP methods, the step is viewed as the sum of two distinct components, a quasinormal step and a tangential step.
A more relaxed accepted condition for trial step is given and a crucial criterion is weakened.
Under some suitable conditions, the global convergence is established.
In the end, numerical results show our method is effective.
American Psychological Association (APA)
Jin, Zhong. 2013. An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-450921
Modern Language Association (MLA)
Jin, Zhong. An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-450921
American Medical Association (AMA)
Jin, Zhong. An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-450921
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450921