Journal Article10.1080/00207169008803949
A recursive doubling algorithm for inverting tridiagonal matrices
M. M. Chawla,K. Passi,R.A. Zalik +2 more
2
TL;DR: A method for inverting tridiagonal matrices by adopting the strategy resulting in a recursive doubling algorithm is presented; the present algorithm has a highly parallel structure.
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Abstract: Evans [2, 3] introduced the method of recursive point partitioning algorithm for the solution of sparse banded matrix systems and investigated the “one-line at a time” strategy for the solution of tridiagonal linear systems. Recursive block partitioning schemes resulting from variation in the size of the block structure using “two-lines at a time” have been investigated for both the tridiagonal and the quindiagonal matrix systems in Okolie [6]. The case of partitioning strategy for an nth order system has been considered by Evans and Okolie [4] resulting in a recursive decoupling algorithm for tridiagonal linear systems. Following the recursive point partitioning algorithm of Evans [2, 3], Chawla et al [1] developed a recursive partitioning algorithm for inverting tridiagonal matrices. In the present paper we present a method for inverting tridiagonal matrices by adopting the strategy resulting in a recursive doubling algorithm; the present algorithm has a highly parallel structure.
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Citations
Parallel Dichotomy Algorithm for solving tridiagonal system of linear equations with multiple right-hand sides
Andrew V. Terekhov
- 01 Aug 2010
TL;DR: A parallel algorithm for solving a series of matrix equations with a constant tridiagonal matrix and different right-hand sides and an original algorithm for calculating share components of the solution vector is proposed and studied.
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On recursive decoupling method for solving tridiagonal linear systems
M. M. Chawla,K. Passi +1 more
TL;DR: This paper presents an alternative implementation of the recursive decoupling method which is in the same vein with the essential difference that the implementation obviates the need to modify the diagonal elements of the coefficient matrix.
2
References
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Introduction to Parallel and Vector Solution of Linear Systems
J. M. Ortega
- 30 Apr 1988
TL;DR: The Conjugate Gradient Algorithm and the Iterative Methods for Linear Equations are described, which simplify the derivation of linear algebra to simple linear algebra.
649
•Book
Handbook of Numerical Matrix Inversion and Solution of Linear Equations
Joan R. Westlake
- 01 Jan 1968
TL;DR: The handbook of numerical matrix inversion and solution of linear equations as mentioned in this paper is an on-line book provided in this website and it can be used for any reader to read it.
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