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Multivariate Algorithms and Information-Based Complexity
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Edited by:
Fred J. Hickernell
Language:
English
Published/Copyright:
2020
About this book
The contributions by leading experts in this book focus on a variety of topics of current interest related to information-based complexity, ranging from function approximation, numerical integration, numerical methods for the sphere, and algorithms with random information, to Bayesian probabilistic numerical methods and numerical methods for stochastic differential equations.
- Presents the state-of-the-art around information-based complexity
- Includes contributions by leading experts in the field
- Covers both theoretical and numerical results as well as their applications
Author / Editor information
Fred J. Hickernell, Illinois Institute of Technology, USA; Peter Kritzer, Johann Radon Institute, Austria.
Topics
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Jeremy Dewar, James M. Hyman and Mu Tian Requires Authentication Unlicensed Licensed Download PDF |
1 |
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Michael B. Giles, Mario Hefter, Lukas Mayer and Klaus Ritter Requires Authentication Unlicensed Licensed Download PDF |
15 |
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Kerstin Hesse Requires Authentication Unlicensed Licensed Download PDF |
33 |
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Aicke Hinrichs, David Krieg, Erich Novak, Joscha Prochno and Mario Ullrich Requires Authentication Unlicensed Licensed Download PDF |
43 |
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C. J. Oates, J. Cockayne, D. Prangle, T. J. Sullivan and M. Girolami Requires Authentication Unlicensed Licensed Download PDF |
65 |
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G. W. Wasilkowski Requires Authentication Unlicensed Licensed Download PDF |
89 |
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Yuhan Ding, Fred J. Hickernell, Peter Kritzer and Simon Mak Requires Authentication Unlicensed Licensed Download PDF |
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
June 8, 2020
eBook ISBN:
9783110635461
Hardcover published on:
May 18, 2020
Hardcover ISBN:
9783110633115
Pages and Images/Illustrations in book
Front matter:
10
Main content:
148
Illustrations:
4
Coloured Illustrations:
16
Keywords for this book
Bayes-Verfahren; Komplexitätstheorie; Multivariate Daten; Numerische Integration; Numerisches Verfahren
Audience(s) for this book
Researchers and graduate students in applied and numerical mathematics and in computer science.
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
