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:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf
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id	my-usm-ep.52289
record_format	uketd_dc
spelling	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
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
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

Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application

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