Classical And Modern Optimization
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Classical And Modern Optimization by Guillaume Carlier
The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains active today, particularly in the development of machine learning.Classical and Modern Optimization presents a self-contained overview of classical and modern ideas and methods in approaching optimization problems. The approach is rich and flexible enough to address smooth and non-smooth, convex and non-convex, finite or infinite-dimensional, static or dynamic situations. The first chapters of the book are devoted to the classical toolbox: topology and functional analysis, differential calculus, convex analysis and necessary conditions for differentiable constrained optimization. The remaining chapters are dedicated to more specialized topics and applications.Valuable to a wide audience, including students in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or for anyone teaching a third- or fourth-year optimization class.| SKU | NIN9781800610866 |
| ISBN 13 | 9781800610866 |
| ISBN 10 | 1800610866 |
| Title | Classical And Modern Optimization |
| Author | Guillaume Carlier |
| Series | Advanced Textbooks In Mathematics |
| Condition | New |
| Binding Type | Paperback |
| Publisher | World Scientific Europe Ltd |
| Year published | 2022-04-07 |
| Number of pages | 388 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time |
