Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application
A penalty function approach is used widely in the field of mathematical programming, and it served as an alternative to conventional non-linear constrained optimization approach. In a quest to make an advancement theoretically and progress practically, we proposed a continuously differentiable pena...
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| Format: | Thesis |
| Language: | English |
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2020
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| Online Access: | http://eprints.usm.my/52289/ |
| Abstract | Abstract here |
| _version_ | 1855630098011521024 |
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| author | Hassan, Mansur |
| author_facet | Hassan, Mansur |
| author_sort | Hassan, Mansur |
| description | A penalty function approach is used widely in the field of mathematical programming, and it served as an alternative to conventional non-linear constrained optimization
approach. In a quest to make an advancement theoretically and progress practically, we proposed a continuously differentiable penalty function to handle the nonlinear
constrained optimization problem; it is called logarithmic penalty function (LPF) method. |
| first_indexed | 2025-10-17T08:38:57Z |
| format | Thesis |
| id | usm-52289 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:38:57Z |
| publishDate | 2020 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | usm-522892022-04-13T01:59:45Z http://eprints.usm.my/52289/ Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application Hassan, Mansur QA1-939 Mathematics A penalty function approach is used widely in the field of mathematical programming, and it served as an alternative to conventional non-linear constrained optimization approach. In a quest to make an advancement theoretically and progress practically, we proposed a continuously differentiable penalty function to handle the nonlinear constrained optimization problem; it is called logarithmic penalty function (LPF) method. 2020-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf Hassan, Mansur (2020) Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA1-939 Mathematics Hassan, Mansur Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application |
| thesis_level | PhD |
| title | Generalized Logarithmic Penalty Function Approach For Invex
Nonlinear Constrained Optimization And Its Application |
| title_full | Generalized Logarithmic Penalty Function Approach For Invex
Nonlinear Constrained Optimization And Its Application |
| title_fullStr | Generalized Logarithmic Penalty Function Approach For Invex
Nonlinear Constrained Optimization And Its Application |
| title_full_unstemmed | Generalized Logarithmic Penalty Function Approach For Invex
Nonlinear Constrained Optimization And Its Application |
| title_short | Generalized Logarithmic Penalty Function Approach For Invex
Nonlinear Constrained Optimization And Its Application |
| title_sort | generalized logarithmic penalty function approach for invex nonlinear constrained optimization and its application |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/52289/ |
| work_keys_str_mv | AT hassanmansur generalizedlogarithmicpenaltyfunctionapproachforinvexnonlinearconstrainedoptimizationanditsapplication |