Optimization for learning and control / Anders Hansson, Linköping University, Linköping, Sweden; Martin Andersen, Technical University of Denmark, Kongens Lyngby, Denmark.
| Author/creator | Hansson, Anders |
| Other author | Andersen, Martin S. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Hoboken, NJ, USA : Wiley, [2023] |
| Description | 1 online resource |
| Supplemental Content | Full text available from IEEE Xplore Wiley Data and Cybersecurity eBooks Library |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "Comprehensive resource providing a masters' level introduction to optimization theory and algorithms for learning and control Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems. Several applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning. Today, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters' level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters' students in a coherent way"-- Provided by publisher. |
| General note | Includes index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher; resource not viewed. |
| Issued in other form | Print version: Hansson, Anders. Optimization for learning and control. First edition Hoboken, NJ, USA : Wiley, [2023] 9781119809135 |
| Genre/form | Electronic books. |
| LCCN | 2023002569 |
| ISBN | 9781119809173 (epub) |
| ISBN | 9781119809142 (adobe pdf) |
| ISBN | (cloth) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |