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Average-Case Analysis of Numerical Problems|Klaus Ritter

Average-Case Analysis of Numerical Problems

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Overview

The average-case analysis of numerical problems is the counterpart of the more traditional worst-case approach. The analysis of average error and cost leads to new insight on numerical problems as well as to new algorithms. The book provides a survey of results that were mainly obtained during the last 10 years and also contains new results. The problems under consideration include approximation/optimal recovery and numerical integration of univariate and multivariate functions as well as zero-finding and global optimization. Background material, e.g. on reproducing kernel Hilbert spaces and random fields, is provided.

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Details

  • ISBN-13: 9783540674498
  • ISBN-10: 3540674497
  • Publisher: Springer
  • Publish Date: May 2000
  • Dimensions: 9.21 x 6.14 x 0.56 inches
  • Shipping Weight: 0.84 pounds
  • Page Count: 252

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