Average-Case Analysis of Numerical Problems - Klaus Ritter
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 rec ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Klaus Ritter |
|---|---|
| Julkaisija | Springer Berlin Heidelberg |
| Series | Lecture Notes in Mathematics |
| Julkaisuvuosi | 2000 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783540674498 |