Introduction to nonsmooth optimization : theory, practice and software
著者
書誌事項
Introduction to nonsmooth optimization : theory, practice and software
Springer, c2014
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
内容説明・目次
内容説明
This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts:
1. convex and nonconvex analysis and the theory of NSO;
2. test problems and practical applications;
3. a guide to NSO software.
The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.
目次
Introduction.- Nonsmooth Analysis and Optimization.- Nonsmooth Problems.- Nonsmooth Optimizational Methods.
「Nielsen BookData」 より
