Abstract

A set of bilinear forms can be evaluated with a multiplicative complexity lower than the rank of the associated tensor by allowing an arbitrarily small error. A topological interpretation of this fact is presented together with the error analysis. A complexity measure is introduced which takes into account the numerical stability of algorithms. Relations are established between the complexities of exact and approximate algorithms.

Keywords

  1. analysis of algorithms
  2. approximate computations
  3. computational complexity
  4. numerical mathematics

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References

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D. Bini, Border tensorial rank of triangular Toeplitz matrices, Report, B-78-26, I.E.I., Pisa, 1978, December
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D. Bini, G. Lotti, F. Romani, Stability and complexity in the evaluation of a set of bilinear forms, Report, B-78-25, I.E.I., Pisa, 1978, November
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Published In

cover image SIAM Journal on Computing
SIAM Journal on Computing
Pages: 692 - 697
ISSN (online): 1095-7111

History

Submitted: 24 January 1979
Published online: 13 July 2006

Keywords

  1. analysis of algorithms
  2. approximate computations
  3. computational complexity
  4. numerical mathematics

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