A PRIMER ON NONSMOOTH CONVEX OPTIMIZATION by Kunal N Chaudhury
This book provides a concise, self-contained introduction to nonsmooth convex analysis and optimization. It develops the core ideas of nonsmooth analysis, subdifferential calculus, and monotone operator theory that form the basis of proximal algorithms for convex optimization. The presentation is rigorous yet accessible, and is aimed at graduate and advanced undergraduate students, as well as researchers in operations research, statistics, signal processing, control and machine learning. The only prerequisites are linear algebra and basic real analysis, and most of the material is developed from first principles. Numerous examples and exercises are included to support learning and self-study, and the material is suitable for a one-semester course.-
NOISE AND VIBRATION CONTROL
-
INTRODUCTION TO ALGEBRAIC GEOMETRY AND COMMUTATIVE ALGEBRA
-
INTRODUCTION TO PATTERN RECOGNITION AND MACHINE LEARNING
-
ULTRAFAST OPTICS AND SPECTROSCOPY IN PHYSICAL CHEMISTRY
-
SCHWARZ'S LEMMA FROM A DIFFERENTIAL GEOMETRIC VIEWPOINT
-
GAME THEORY AND MECHANISM DESIGN
-
INTRODUCTION TO TIME-DEPENDENT QUANTUM MECHANICS WITH PYTHON
| SKU | Unavailable |
| ISBN 13 | 9789819830329 |
| Title | A PRIMER ON NONSMOOTH CONVEX OPTIMIZATION |
| Author | Kunal Narayan Chaudhury |
| Series | Iisc Lecture Notes Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | World Scientific Publishing Co Pte Ltd |
| Year published | 2026-12-04 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |