
Numerical Linear Algebra with Julia
$197.01
- Paperback
277 pages
- Release Date
29 November 2021
Summary
Mastering Linear Algebra with Julia: A Practical Guide
Numerical Linear Algebra with Julia delivers comprehensive insights into the core principles of numerical linear algebra. Explore how to tackle dense and sparse linear systems, generate QR factorizations, determine matrix eigendecomposition, and implement iterative methods like conjugate gradient.
Inside, you’ll discover:
- In-depth algorithm descriptions.
- Julia implementations to solidify u…
Book Details
| ISBN-13: | 9781611976540 |
|---|---|
| ISBN-10: | 1611976545 |
| Series: | Other Titles in Applied Mathematics |
| Author: | Eric Darve, Mary Wootters |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 277 |
| Release Date: | 29 November 2021 |
| Weight: | 874g |
| Dimensions: | 257mm x 179mm |
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About The Author
Eric Darve
Professor Eric Darve became a postdoctoral scholar with Professors Moin and Pohorille at Stanford and NASA Ames in 1999. In 2001, he joined the faculty at Stanford University and is now a professor of Mechanical Engineering and a member of the Institute for Computational and Mathematical Engineering. His research interests include numerical linear algebra, machine learning for engineering, high-performance and GPU computing.
Mary Wootters is an assistant professor of Computer Science and Electrical Engineering at Stanford University. From 2014 to 2016, she was an NSF postdoctoral fellow at Carnegie Mellon University. She works in theoretical computer science, applied math, and information theory. Her research interests include error correcting codes and randomized algorithms for dealing with high dimensional data. She is the recipient of an NSF CAREER award and was named a Sloan Research Fellow in 2019.
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