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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Format: | Article |
Language: | English |
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VSB-Technical University of Ostrava
2014-01-01
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Series: | Advances in Electrical and Electronic Engineering |
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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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institution | Directory Open Access Journal |
issn | 1336-1376 1804-3119 |
language | English |
last_indexed | 2024-04-09T12:42:10Z |
publishDate | 2014-01-01 |
publisher | VSB-Technical University of Ostrava |
record_format | Article |
series | Advances in Electrical and Electronic Engineering |
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 |