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...

Full description

Bibliographic Details
Main Author: Hassan, Mansur
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52289/
http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf
_version_ 1848882216988311552
author Hassan, Mansur
author_facet Hassan, Mansur
author_sort Hassan, Mansur
building USM Institutional Repository
collection Online Access
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 2025-11-15T18:31:24Z
format Thesis
id usm-52289
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:31:24Z
publishDate 2020
recordtype eprints
repository_type Digital Repository
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
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/
http://eprints.usm.my/52289/1/MANSUR%20HASSAN%20-%20TESIS.pdf%20cut.pdf