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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my-usm-ep.522892022-04-13T01:59:45Z Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application 2020-05 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 http://eprints.usm.my/52289/ http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik (School of Mathematical Sciences) |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
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QA1-939 Mathematics |
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QA1-939 Mathematics Hassan, Mansur Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application |
| 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. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Hassan, Mansur |
| author_facet |
Hassan, Mansur |
| author_sort |
Hassan, Mansur |
| title |
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_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_sort |
generalized logarithmic penalty function approach for invex
nonlinear constrained optimization and its application |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Matematik (School of Mathematical Sciences) |
| publishDate |
2020 |
| url |
http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf |
| _version_ |
1747822157386219520 |