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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Main Author: Hassan, Mansur
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf
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Institution: Universiti Sains Malaysia
Language: English
id my.usm.eprints.52289
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spelling my.usm.eprints.52289 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.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA1-939 Mathematics
spellingShingle 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
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
publishDate 2020
url http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf
http://eprints.usm.my/52289/
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