2001
DOI: 10.1016/s0898-1221(01)00125-0
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A parallel method for linear equations with tridiagonal Toeplitz coefficient matrices

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Cited by 15 publications
(6 citation statements)
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“…There are several methods for solving such systems (the review of the literature can be found in [ 5 ]). Rojo [ 10 ] proposed a method for solving symmetric tridiagonal Toeplitz systems using LU decomposition of a system with almost Toeplitz structure together with Sherman-Morrison’s formula and this approach was modified to obtain new solvers for a possible parallel execution [ 7 , 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…There are several methods for solving such systems (the review of the literature can be found in [ 5 ]). Rojo [ 10 ] proposed a method for solving symmetric tridiagonal Toeplitz systems using LU decomposition of a system with almost Toeplitz structure together with Sherman-Morrison’s formula and this approach was modified to obtain new solvers for a possible parallel execution [ 7 , 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…The basic approach comes from Rojo, 8 who proposed a method using LU decomposition of a system with almost Toeplitz structure together with Sherman–Morrison's formula. This approach was modified to obtain new solvers with the possibility of parallel execution 9,10 …”
Section: Introductionmentioning
confidence: 99%
“…This approach was modified to obtain new solvers with the possibility of parallel execution. 9,10 Recently, 7 we proposed a new divide and conquer parallel algorithm for solving tridiagonal Toeplitz systems of linear equations with diagonally dominant matrices using the splitting T = LR + P, where L, R are bidiagonal matrices and P has only one nonzero entry. We showed how to reduce the number of necessary synchronizations and use SIMD extensions of modern processors 11,12 to achieve reasonable performance.…”
Section: Introductionmentioning
confidence: 99%
“…Tridiagonal Toeplitz linear systems have their own applications in mathematical science and engineering field (Noschese et al 2013;Rojo 1990;Saad 2003). Due to their special structure, fast and/or accurate solvers have intrigued researchers for decades, see for example (Yan and Chung 1994;Terekhov 2015;Du et al 2017;Rojo 1990) for serial algorithms and (Garey and Shaw 2001;Kim 1990;McNally et al 2000) for parallel algorithms. Those algorithms are all numerically reliable, if the coefficient matrix A is strictly diagonally dom-inant.…”
Section: Introductionmentioning
confidence: 99%