A step variational iteration method for solving non-chaotic and chaotic systems

In this paper, a new reliable method called the step variational iteration method (SVIM) based on an adaptation of the variational iteration method (VIM) is presented to solve non–chaotic and chaotic systems. The SVIM uses the general Lagrange multipliers for constructing the correction functional f...

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Main Authors: Yulita Molliq, R, Noorani, M.S.M., Ahmad, R.R., Alomari, A.K.
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2013
Online Access:http://journalarticle.ukm.my/5978/
http://journalarticle.ukm.my/5978/1/11%2520R.%2520Yulita.pdf
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author Yulita Molliq, R
Noorani, M.S.M.
Ahmad, R.R.
Alomari, A.K.
author_facet Yulita Molliq, R
Noorani, M.S.M.
Ahmad, R.R.
Alomari, A.K.
author_sort Yulita Molliq, R
building UKM Institutional Repository
collection Online Access
description In this paper, a new reliable method called the step variational iteration method (SVIM) based on an adaptation of the variational iteration method (VIM) is presented to solve non–chaotic and chaotic systems. The SVIM uses the general Lagrange multipliers for constructing the correction functional for the problems. The SVIM yields a step analytical solution of the form of a rapidly convergent infinite power series with easily computable terms and obtain a good approximate solution for larger intervals. The accuracy of the presented solution obtained is in an excellent agreement with the previously published solutions.
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spelling oai:generic.eprints.org:59782016-12-14T06:40:00Z http://journalarticle.ukm.my/5978/ A step variational iteration method for solving non-chaotic and chaotic systems Yulita Molliq, R Noorani, M.S.M. Ahmad, R.R. Alomari, A.K. In this paper, a new reliable method called the step variational iteration method (SVIM) based on an adaptation of the variational iteration method (VIM) is presented to solve non–chaotic and chaotic systems. The SVIM uses the general Lagrange multipliers for constructing the correction functional for the problems. The SVIM yields a step analytical solution of the form of a rapidly convergent infinite power series with easily computable terms and obtain a good approximate solution for larger intervals. The accuracy of the presented solution obtained is in an excellent agreement with the previously published solutions. Universiti Kebangsaan Malaysia 2013-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5978/1/11%2520R.%2520Yulita.pdf Yulita Molliq, R and Noorani, M.S.M. and Ahmad, R.R. and Alomari, A.K. (2013) A step variational iteration method for solving non-chaotic and chaotic systems. Sains Malaysiana, 42 (3). 347 -358. ISSN 0126-6039 http://www.ukm.my/jsm/
spellingShingle Yulita Molliq, R
Noorani, M.S.M.
Ahmad, R.R.
Alomari, A.K.
A step variational iteration method for solving non-chaotic and chaotic systems
title A step variational iteration method for solving non-chaotic and chaotic systems
title_full A step variational iteration method for solving non-chaotic and chaotic systems
title_fullStr A step variational iteration method for solving non-chaotic and chaotic systems
title_full_unstemmed A step variational iteration method for solving non-chaotic and chaotic systems
title_short A step variational iteration method for solving non-chaotic and chaotic systems
title_sort step variational iteration method for solving non-chaotic and chaotic systems
url http://journalarticle.ukm.my/5978/
http://journalarticle.ukm.my/5978/
http://journalarticle.ukm.my/5978/1/11%2520R.%2520Yulita.pdf