Newton's method in the context of gradients

dc.contributor.authorKaratson, Janos
dc.contributor.authorNeuberger, John W.
dc.date.accessioned2021-08-17T15:49:51Z
dc.date.available2021-08-17T15:49:51Z
dc.date.issued2007-09-24
dc.description.abstractThis paper gives a common theoretical treatment for gradient and Newton type methods for general classes of problems. First, for Euler-Lagrange equations Newton's method is characterized as an (asymptotically) optimal variable steepest descent method. Second, Sobolev gradient type minimization is developed for general problems using a continuous Newton method which takes into account a "boundary condition" operator.
dc.description.departmentMathematics
dc.formatText
dc.format.extent13 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationKaratson, J., & Neuberger, J. W. (2007). Newton's method in the context of gradients. <i>Electronic Journal of Differential Equations, 2007</i>(124), pp. 1-13.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/14339
dc.language.isoen
dc.publisherTexas State University-San Marcos, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.holderThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2007, San Marcos, Texas: Texas State University-San Marcos and University of North Texas.
dc.subjectNewton's method
dc.subjectSobolev
dc.subjectGradients
dc.titleNewton's method in the context of gradients
dc.typeArticle

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