{
"item_title" : "Average-Case Analysis of Numerical Problems",
"item_author" : [" Klaus Ritter "],
"item_description" : "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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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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