Synopsis
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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Average-Case Analysis of Numerical Problems (Lecture Notes in Mathematics, 1733)
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Average case analysis of numerical problems. Lecture notes in mathematics; Vol. 1733.
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Average-Case Analysis of Numerical Problems
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Average-Case Analysis of Numerical Problems
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Average-case analysis of numerical problems. Lecture Notes in Mathematics; 1733.
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Softcover. 254 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-04556 9783540674498 Sprache: Englisch Gewicht in Gramm: 550. Seller Inventory # 2490792
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Average-Case Analysis of Numerical Problems (Lecture Notes in Mathematics, 1733)
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Average-Case Analysis of Numerical Problems
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Average-Case Analysis of Numerical Problems
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Springer Berlin Heidelberg Mai 2000, 2000
ISBN 10: 3540674497
ISBN 13: 9783540674498
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 268 pp. Englisch. Seller Inventory # 9783540674498
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