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ME28: A Sparse Unsymmetric Linear Equation Solver for Complex Equations
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 7 ,  Issue 4  (December 1981) table of contents
Pages: 505 - 511  
Year of Publication: 1981
ISSN:0098-3500
Author
I. S. Duff  Computer Science & Systems Division, Building 8.9, AERE Harwell, Oxon. OX11, ORA, England
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 36,   Citation Count: 0
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ANSI American National Standard Programming Language FORTRAN. American National Standards Institute, New York, 1966.
 
2
ANSI American National Standard Programming Language FORTRAN. American National Standards Institute, New York, April 1978.
 
3
DUFF, I.S. MA28--A set of Fortran subroutines for sparse unsymmetric linear equations. Harwell Rep. AERE R-8730, Her Majesty's Stationery Office, London, 1977.
 
4
DUFF, I.S. Practical comparisons of codes for the solution of sparse linear systems. In Sparse Matrix Proceedings 1978, I.S. Duff and G.W. Stewart (Eds.), SIAM Press, 1979, pp. 107-134.
 
5
DUFF, I.S., AND RSH), J.K. Performance evaluation of codes for sparse matrix problems. In Performance Evaluation of Numerical Software, L. Fosdick (Ed.), North-Holland, Amsterdam, 1979, pp. 121-135,
 
6
ERISMAN, A.M., AND REID, J.K. Monitoring the stability of the triangular factorization of a sparse matrix. Numer. Math. 22 (1974), 183-186.
 
7
PIZER, R. A sparse matrix approach to the method of moments solution of electromagnetic problems. J, Inst. Elec. Eng.
 
8
REID, J.K. A note on the stability of Gaussian elimination. J. Inst. Math. Appl. 8 (1971), 374- 375.
 
9
RYDER, B.G. The PFORT verifier. Softw. Pract. Exper. 4 (1974), 359--377.

INDEX TERMS

Primary Classification:
  G. Mathematics of Computing
  G.1 NUMERICAL ANALYSIS
      G.1.3 Numerical Linear Algebra
          Subjects: Linear systems (direct and iterative methods)

Additional Classification:
  G. Mathematics of Computing
  G.1 NUMERICAL ANALYSIS
      G.1.3 Numerical Linear Algebra
          Subjects: Sparse, structured, and very large systems (direct and iterative methods)


General Terms:
Performance, Theory

Collaborative Colleagues:
I. S. Duff: colleagues

Peer to Peer - Readers of this Article have also read:

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