A Parallel Method for Tridiagonal Equations

198Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.

Abstract

A new (partition) method for solving a tndiagonal system of lmear equations is presented in this paper The method is suitable for both parallel and vector computers. Although the partition method has a shghtly higher vector operatmn count than those of the two competing methods (the recursive doubling method and the cychc reduction method), it has a scalar count much smaller than that of the recursive doubling. The scalar counts between the partition method and the cyclic reduction method are so close as to make a timing evaluation inconclusive without considering the data management problem, especmlly when large systems are solved. Various situations under which the partmon method can be preferable are described. © 1981, ACM. All rights reserved.

References Powered by Scopus

Error Analysis of Direct Methods of Matrix Inversion

248Citations
N/AReaders
Get full text

Parallel Tridiagonal Equation Solvers

108Citations
N/AReaders
Get full text

A Fast Computer Method for Matrix Transposing

99Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Parallel numerical linear algebra

142Citations
N/AReaders
Get full text

Fast tridiagonal solvers on the GPU

124Citations
N/AReaders
Get full text

Fast tridiagonal solvers on the GPU

80Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Wang, H. H. (1981). A Parallel Method for Tridiagonal Equations. ACM Transactions on Mathematical Software (TOMS), 7(2), 170–183. https://doi.org/10.1145/355945.355947

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 19

58%

Researcher 7

21%

Professor / Associate Prof. 5

15%

Lecturer / Post doc 2

6%

Readers' Discipline

Tooltip

Computer Science 11

37%

Engineering 10

33%

Physics and Astronomy 5

17%

Mathematics 4

13%

Save time finding and organizing research with Mendeley

Sign up for free