BIT Numerical Mathematics

, Volume 30, Issue 3, pp 508–515 | Cite as

Using error-bounds for hyperpower methods to calculate inclusions for the inverse of a matrix

  • J. Herzberger
Part II Numerical Mathematics


By means of error-bounds for the well-known hyperpower methods for approximating the inverse of a matrix we define inclusion methods for the inverse matrix. These methods are using machine interval operations and are giving guaranteed inclusions for the inverse matrix whenever the convergence of the applied hyperpower methods can be shown. In comparison with the very efficient interval Schulz's method in the literature, our methods are more efficient in terms of the efficiency index. Some numerical examples are given.

AMS Classification

65F30 65G10 


Matrix inversion error-bounds for hyperpower methods interval analysis 


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Copyright information

© BIT Foundations 1990

Authors and Affiliations

  • J. Herzberger
    • 1
  1. 1.Fachbereich MathematikUniversität OldenburgOldenburgWest-Germany

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