1962
DOI: 10.1016/0041-5553(62)90005-8
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Homogeneous difference schemes

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Cited by 104 publications
(50 citation statements)
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“…To find the approximate eigenvalues of problem (1) with the odd ordinal number λ 2n+1 , we use the technique of exact three-point difference schemes [11,20]. We find the approximate eigenvalues of problem (1) with the even ordinal number λ 2n by integration.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…To find the approximate eigenvalues of problem (1) with the odd ordinal number λ 2n+1 , we use the technique of exact three-point difference schemes [11,20]. We find the approximate eigenvalues of problem (1) with the even ordinal number λ 2n by integration.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Model error estimates for the stress functions will then quickly lead to sharp consistency error estimates in negative norms, which occur naturally in the error analysis. We remark that negative norm techniques for finite difference methods go back to the work of Tikhonov and Samarskii [33], where they were developed for the construction and analysis of finite difference discretizations of diffusion equations with non-smooth coefficients and on non-uniform meshes.…”
Section: The Atomistic Stress Functionmentioning
confidence: 99%
“…For the one-dimensional case, he proved that the amplitude error in reflected and transmitted waves is determined by the accuracy by which the jump conditions are discretized, while the phase error is determined by the accuracy of the discretization in the interior of the domain. In the one-dimensional case, Tikhonov and Samarskiȋ's [10] averaging formula was used to obtain a second order accurate approximation without explicitly discretizing the jump conditions. Numerical calculations indicated a significant benefit of combining the second order treatment of the jump conditions with a fourth order method in the interior of the domain.…”
Section: Introductionmentioning
confidence: 99%