SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS

An implementation of symbolic computation for steady state problems is proposed in the paper. A mathematical basis is derived in order to specify the quantities that the implementation will concern. An analysis is performed so that an optimal algorithm can be chosen in terms of the two chosen crite...

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Main Author: Marcin Sowa
Format: Article
Language:English
Published: Lublin University of Technology 2013-02-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/1429
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spelling doaj-2b4ed77235fc4fea98d497f5d7272d2b2020-11-25T02:33:03ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 2083-01572391-67612013-02-013110.35784/iapgos.1429SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMSMarcin Sowa0Silesian University of Technology, Faculty of Electrical Engineering, Gliwice An implementation of symbolic computation for steady state problems is proposed in the paper. A mathematical basis is derived in order to specify the quantities that the implementation will concern. An analysis is performed so that an optimal algorithm can be chosen in terms of the two chosen criteria – the operation time and memory needed to store symbolic expressions. The implementation scheme of the specialized class for symbolic computation is presented with the use of a general figure and by an example. The implementation is made in C++ but the presented idea can also be applied in other programming languages that share similar properties. A program using the proposed algorithm was studied for its efficiency in terms of calculation time and memory used by symbolic expressions. This is made by comparing the calculations made by the author’s program with those made by a script written in Mathematica. https://ph.pollub.pl/index.php/iapgos/article/view/1429symbolic computationsteady stateC implementation
collection DOAJ
language English
format Article
sources DOAJ
author Marcin Sowa
spellingShingle Marcin Sowa
SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
symbolic computation
steady state
C implementation
author_facet Marcin Sowa
author_sort Marcin Sowa
title SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
title_short SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
title_full SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
title_fullStr SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
title_full_unstemmed SPECIALIZED SYMBOLIC COMPUTATION FOR STEADY STATE PROBLEMS
title_sort specialized symbolic computation for steady state problems
publisher Lublin University of Technology
series Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
issn 2083-0157
2391-6761
publishDate 2013-02-01
description An implementation of symbolic computation for steady state problems is proposed in the paper. A mathematical basis is derived in order to specify the quantities that the implementation will concern. An analysis is performed so that an optimal algorithm can be chosen in terms of the two chosen criteria – the operation time and memory needed to store symbolic expressions. The implementation scheme of the specialized class for symbolic computation is presented with the use of a general figure and by an example. The implementation is made in C++ but the presented idea can also be applied in other programming languages that share similar properties. A program using the proposed algorithm was studied for its efficiency in terms of calculation time and memory used by symbolic expressions. This is made by comparing the calculations made by the author’s program with those made by a script written in Mathematica.
topic symbolic computation
steady state
C implementation
url https://ph.pollub.pl/index.php/iapgos/article/view/1429
work_keys_str_mv AT marcinsowa specializedsymboliccomputationforsteadystateproblems
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