An effective method for solving nonlinear equations and its application

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dc.contributor.authorD Yi-
dc.contributor.authorB Choi-
dc.contributor.authorEun-Youn Kim-
dc.date.accessioned2017-04-19T09:40:33Z-
dc.date.available2017-04-19T09:40:33Z-
dc.date.issued2013-
dc.identifier.issn0096-3003-
dc.identifier.uri10.1016/j.amc.2013.05.070ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/11384-
dc.description.abstractThe linearized partial differential equation from the nonlinear partial differential equation which was proposed by Rudin, Osher and Fatemi [L. I. Rudin, S. Osher and E. Fatemi, Nonlinear total variation based noise removal algorithms] for solving image decomposition was introduced by Chambolle [A. Chambolle, An algorithm for total variation minimization and applications] and R. Acar and C.R. Vogel [R. Acar and C. R. Vogel, Analysis of bounded variation penalty methods for ill-posed problems]. In this paper, we propose a method for solving the linearized partial differential equation and we show numerical results for denoising which demonstrate a significant improvement over other previous works.-
dc.publisherElsevier-
dc.titleAn effective method for solving nonlinear equations and its application-
dc.title.alternativeAn effective method for solving nonlinear equations and its application-
dc.typeArticle-
dc.citation.titleApplied Mathematics and Computation-
dc.citation.number0-
dc.citation.endPage579-
dc.citation.startPage568-
dc.citation.volume220-
dc.contributor.affiliatedAuthorEun-Youn Kim-
dc.contributor.alternativeName이덕균-
dc.contributor.alternativeName최부용-
dc.contributor.alternativeName김은연-
dc.identifier.bibliographicCitationApplied Mathematics and Computation, vol. 220, pp. 568-579-
dc.identifier.doi10.1016/j.amc.2013.05.070-
dc.subject.keywordDecomposition-
dc.subject.keywordDuality-
dc.subject.keywordFunctional minimization-
dc.subject.keywordPartial differential equation-
dc.subject.keywordRichardson's method-
dc.subject.keywordTotal variation-
dc.subject.localDecomposition-
dc.subject.localdecomposition-
dc.subject.localDuality-
dc.subject.localFunctional minimization-
dc.subject.localPartial differential equation-
dc.subject.localRichardson's method-
dc.subject.localTotal variation-
dc.description.journalClassY-
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