Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update

Primal-dual nonlinear rescaling method with dynamic scaling parameter update (PDNRD) is an optimization method from a class of nonlinear rescaling techniques. Previous work does not discuss practical aspects of PDNRD method such as the explanation and the setting of the parameters. To complete this...

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Main Author: Richard Andrasik
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2014-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/1018
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author Richard Andrasik
author_facet Richard Andrasik
author_sort Richard Andrasik
collection DOAJ
description Primal-dual nonlinear rescaling method with dynamic scaling parameter update (PDNRD) is an optimization method from a class of nonlinear rescaling techniques. Previous work does not discuss practical aspects of PDNRD method such as the explanation and the setting of the parameters. To complete this framework, the parameters were described. Moreover, PDNRD method was applied on two quadratic programming problems with quadratic constraints and recommendations about the setting of the parameters were made.
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spelling doaj.art-b54f5ff9ed724525982f23bd7f1294f12023-05-14T20:50:09ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192014-01-0112214415310.15598/aeee.v12i2.1018655Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter UpdateRichard AndrasikPrimal-dual nonlinear rescaling method with dynamic scaling parameter update (PDNRD) is an optimization method from a class of nonlinear rescaling techniques. Previous work does not discuss practical aspects of PDNRD method such as the explanation and the setting of the parameters. To complete this framework, the parameters were described. Moreover, PDNRD method was applied on two quadratic programming problems with quadratic constraints and recommendations about the setting of the parameters were made.http://advances.utc.sk/index.php/AEEE/article/view/1018convex optimizationdynamic scaling parameter updatenonlinear rescaling methodparameters setting.
spellingShingle Richard Andrasik
Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
Advances in Electrical and Electronic Engineering
convex optimization
dynamic scaling parameter update
nonlinear rescaling method
parameters setting.
title Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
title_full Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
title_fullStr Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
title_full_unstemmed Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
title_short Practical Aspects of Primal-Dual Nonlinear Rescaling Method with Dynamic Scaling Parameter Update
title_sort practical aspects of primal dual nonlinear rescaling method with dynamic scaling parameter update
topic convex optimization
dynamic scaling parameter update
nonlinear rescaling method
parameters setting.
url http://advances.utc.sk/index.php/AEEE/article/view/1018
work_keys_str_mv AT richardandrasik practicalaspectsofprimaldualnonlinearrescalingmethodwithdynamicscalingparameterupdate