An introduction to parallel and vector scientific computing

✍ Scribed by Ronald W Shonkwiler; L Lefton

Publisher: Cambridge University Press
Year: 2006
Tongue: English
Leaves: 306
Series: Cambridge texts in applied mathematics
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content: Part I. Machines and Computation: 1. Introduction - the nature of high performance computation; 2. Theoretical considerations - complexity; 3. Machine implementations; Part II. Linear Systems: 4. Building blocks - floating point numbers and basic linear algebra; 5. Direct methods for linear systems and LU decomposition; 6. Direct methods for systems with special structure; 7. Error analysis and QR decomposition; 8. Iterative methods for linear systems; 9. Finding eigenvalues and eigenvectors; Part III. Monte Carlo Methods: 10. Monte Carlo simulation; 11. Monte Carlo optimization; Appendix: programming examples.

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