Acta numerica Volume 17 2008

Contributor(s): Iserles, A [ Editor]
Publisher: Cambridge Cambridge University Press 2008Description: 409 p.ISBN: 9780521174350Subject(s): Asymptotic - numerical homogenization | Interior point methods | Linear Algebra - Acta numerica | MathematicsDDC classification: 518.05 Summary: Acta Numerica 2008 is a high-impact, prestigious, annual publication that contains invited surveys by leading researchers in numerical mathematics and scientific computing.These surveys present overviews of recent developments in their specific areas and provide state-of-the-art techniques and analyses. It is essential reading for all practitioners and researchers. High-impact survey volume Contributors are leading researchers Covers topics of interest and presents overviews of them https://www.cambridge.org/us/academic/subjects/mathematics/numerical-analysis/acta-numerica-2008-volume-17?format=PB
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Books Vikram Sarabhai Library
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Slot 1390 (0 Floor, East Wing) Non-fiction 518.05 A2 (Browse shelf) Available 197781

Table of Contents
1. Linear algebra algorithms as dynamical systems Moody T. Chu
2. Accurate and efficient expression evaluation and linear algebra James Demmel, Ioana Dumitriu, Olga Holtz and Plamen Koev
3. Asymptotic and numerical homogenization B. Engquist and P. E. Souganidis
4. Interior-point methods for optimization Arkadi S. Nemirovski and Michael J. Todd
5. Greedy approximation V. N. Temlyakov.

Acta Numerica 2008 is a high-impact, prestigious, annual publication that contains invited surveys by leading researchers in numerical mathematics and scientific computing.These surveys present overviews of recent developments in their specific areas and provide state-of-the-art techniques and analyses. It is essential reading for all practitioners and researchers.
High-impact survey volume
Contributors are leading researchers
Covers topics of interest and presents overviews of them

https://www.cambridge.org/us/academic/subjects/mathematics/numerical-analysis/acta-numerica-2008-volume-17?format=PB

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