2005
DOI: 10.1002/zamm.200410186
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Implicit difference methods for parabolic functional differential equations

Abstract: We present a new class of numerical methods for the solution of quasilinear parabolic functional differential equations. The numerical methods are difference schemes which are implicit with respect to time variable. We give a complete convergence analysis for the methods and we show by an example that the new methods are considerable better that the explicit schemes. The proof of the stability is based on a comparison technique with nonlinear estimates of the Perron type for given operators. Results obtained i… Show more

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Cited by 13 publications
(21 citation statements)
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“…The above relations and (33) imply that v h is the approximate solution of (3), (4). Thus, all assumptions of Theorem 2 are satisfied, and (45) is a consequence of Theorem 2.…”
Section: The Above Relations and (2) From Assumption H[f ]mentioning
confidence: 68%
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“…The above relations and (33) imply that v h is the approximate solution of (3), (4). Thus, all assumptions of Theorem 2 are satisfied, and (45) is a consequence of Theorem 2.…”
Section: The Above Relations and (2) From Assumption H[f ]mentioning
confidence: 68%
“…Numerical examples given in [3][4][5][9][10][11] show that implicit difference methods are natural tools for numerical solution of evolution functional differential equations.…”
Section: Remark 10mentioning
confidence: 98%
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“…The papers [7,11] initiated the theory of implicit difference schemes for parabolic functional differen tial equations. The papers [12,18] concern equations with first order partial derivatives and implicit dif ference schemes.…”
Section: Introductionmentioning
confidence: 99%
“…The papers [13][14][15][16] initiated the theory of implicit difference methods for nonlinear parabolic differential equations. Classical solutions of initial boundary-value problems of the Dirichlet type for nonlinear equations without mixed derivatives were approximated in [14,15] by solutions of difference schemes that are implicit with respect to the time variable.…”
Section: Introductionmentioning
confidence: 99%