1964
DOI: 10.1002/sapm1964431117
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On a Finite Difference Analogue of an Elliptic Boundary Problem which is Neither Diagonally Dominant Nor of Non‐negative Type

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Cited by 99 publications
(49 citation statements)
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“…The operators by which the various differential operators are approximated will be chosen in such a way that the coefficient matrix A of the resulting system of linear equations will have a very useful property, both for estimating the discretization error and for actually solving the systems, the matrix being of positive type [6]. Generally, in problems of this type, one has to attend to three things; first one has to establish the convergence of the proposed method, then one has to show that the resulting system of linear equations, which will have a sparse coefficient matrix, can be solved by iterative methods, and, finally, the stability of the method has to be investigated.…”
Section: Amentioning
confidence: 99%
“…The operators by which the various differential operators are approximated will be chosen in such a way that the coefficient matrix A of the resulting system of linear equations will have a very useful property, both for estimating the discretization error and for actually solving the systems, the matrix being of positive type [6]. Generally, in problems of this type, one has to attend to three things; first one has to establish the convergence of the proposed method, then one has to show that the resulting system of linear equations, which will have a sparse coefficient matrix, can be solved by iterative methods, and, finally, the stability of the method has to be investigated.…”
Section: Amentioning
confidence: 99%
“…As will be seen later, it is much easier to find a monotone matrix M which dominates A, giving a nonnegative R, than to choose R such that property 2 of Theorem 2.2 is satisfied. This is one of the major deviations between this development and Bramble and Hubbard's in [4], [5]. Also, for this reason, we shall, from now on, be concerned with constructing the matrix M rather than the matrix R.…”
Section: Introductionmentioning
confidence: 99%
“…Many others, Batschelet [1], Collatz [6] and [7], and Forsythe and Wasow [9], to name a few, have generalized Gershgorin's basic work, but their methods still used only M-matrices. Recently, Bramble and Hubbard [4] and [5] considered a class of finite difference approximations without the M-matrix sign property, except for points adjacent to the boundary. They established a technique for recognizing monotone matrices and extended Gershgorin's work to a whole class of high order difference approximations whose associated matrices were monotone rather than M-matrices.…”
Section: Introductionmentioning
confidence: 99%
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“…In order to obtain this rule it is evident that instead of the usual stability inequalities one needs weighted stability inequalities (see Section 2). These are derived in [4], [5] from the monotone properties of the difference equations and from the existence of appropriate grid functions (for a systematic approach see Ciarlet [6]). …”
mentioning
confidence: 99%