Optimization and Learning via Stochastic Gradient Search
$136.01
- Hardcover
432 pages
- Release Date
3 February 2026
Summary
Stochastic Gradient Search: Optimization and Learning Unleashed
An introduction to gradient-based stochastic optimization that integrates theory and implementation
This book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation. Although the approach is theoretical, the book emphasizes developing algorithms that implement the methods. The underlying philosophy of this book is that wh…
Book Details
| ISBN-13: | 9780691245867 |
|---|---|
| ISBN-10: | 069124586X |
| Series: | Princeton Series in Applied Mathematics |
| Author: | Professor Felisa Vázquez-Abad, Bernd Heidergott, Felisa Vázquez-Abad |
| Publisher: | Princeton University Press |
| Imprint: | Princeton University Press |
| Format: | Hardcover |
| Number of Pages: | 432 |
| Release Date: | 3 February 2026 |
| Weight: | 0g |
| Dimensions: | 254mm x 178mm |
About The Author
Professor Felisa Vázquez-Abad
Felisa Vzquez-Abad is professor of computer science at City University of New York and principal investigator in the School of Computing and Information Systems at the University of Melbourne.
Bernd Heidergott is professor of stochastic optimization in the Department of Operations Analytics at the School of Business and Economics and research fellow at Tinbergen Institute, Amsterdam.
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