Numerical Algorithms
methods for computer vision, machine learning, and graphics
$258.15
- Hardcover
400 pages
- Release Date
13 July 2015
Summary
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.
The book co…
Book Details
| ISBN-13: | 9781482251883 |
|---|---|
| ISBN-10: | 1482251884 |
| Author: | Justin Solomon |
| Publisher: | Apple Academic Press Inc. |
| Imprint: | Apple Academic Press Inc. |
| Format: | Hardcover |
| Number of Pages: | 400 |
| Release Date: | 13 July 2015 |
| Weight: | 880g |
| Dimensions: | 254mm x 178mm |
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What They're Saying
Critics Review
“This book covers an impressive array of topics, many of which are paired with a real-world application. Its conversational style and relatively few theorem-proofs make it well suited for computer science students as well as professionals looking for a refresher.”—Dianne Hansford, FarinHansford.com
About The Author
Justin Solomon
Justin Solomon is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT, where he studies problems in shape analysis, machine learning, and graphics from a geometric perspective. He received a PhD in computer science from Stanford University, where he was also a lecturer for courses in graphics, differential geometry, and numerical methods. Subsequently he served as an NSF Mathematical Sciences Postdoctoral Fellow at Princeton’s Program in Applied and Computational Mathematics. Before his graduate studies, he was a member of Pixar’s Tools Research group.
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