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ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES.

Publication ,  Journal Article
Sidi, A; Ford, WF; Smith, DA
Published in: NASA Technical Paper
January 1, 1983

A general approach to the construction of convergence acceleration methods for vector sequences is proposed. Using this approach, one can generate some known methods, such as the minimal polynomial extrapolation, the reduced rank extrapolation, and the topological epsilon algorithm, and also some new ones. Some of the new methods are easier to implement than the known methods and are observed to have similar numerical properties. The convergence analysis of these new methods is carried out, and it is shown that they are especially suitable for accelerating the convergence of vector sequences that are obtained when one solves linear systems of equations iteratively.

Duke Scholars

Published In

NASA Technical Paper

ISSN

0148-8341

Publication Date

January 1, 1983

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics
  • 0101 Pure Mathematics
 

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Sidi, A., Ford, W. F., & Smith, D. A. (1983). ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES. NASA Technical Paper.
Sidi, A., W. F. Ford, and D. A. Smith. “ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES.NASA Technical Paper, January 1, 1983.
Sidi A, Ford WF, Smith DA. ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES. NASA Technical Paper. 1983 Jan 1;
Sidi, A., et al. “ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES.NASA Technical Paper, Jan. 1983.
Sidi A, Ford WF, Smith DA. ACCELERATION OF CONVERGENCE OF VECTOR SEQUENCES. NASA Technical Paper. 1983 Jan 1;

Published In

NASA Technical Paper

ISSN

0148-8341

Publication Date

January 1, 1983

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics
  • 0101 Pure Mathematics