<p><p>This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. </p><p>The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I
Derivative-free and Blackbox Optimization
β Scribed by Charles Audet, Warren Hare
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 304
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book d
Presentation.<br/>Charles Audet,Β΄Ecole Polytechnique de MontrΒ΄eal.<br/>LuΒ΄Δ±s Nunes Vicente, Universidade de Coimbra.<br/>Mini-tutorial β SIOPT 2008 β Boston.<br/>May 2008.<br/>pages: 109.<br/>Presentation Outline.<br/>Introduction.<br/>Unconstrained optimization.<br/>Optimization under general const
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optim