Derivative-Free Optimization: Theory and Practice
β Scribed by Audet C., Vicente L.N.
- Tongue
- English
- Leaves
- 233
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Presentation.
Charles Audet,Β΄Ecole Polytechnique de MontrΒ΄eal.
LuΒ΄Δ±s Nunes Vicente, Universidade de Coimbra.
Mini-tutorial β SIOPT 2008 β Boston.
May 2008.
pages: 109.
Presentation Outline.
Introduction.
Unconstrained optimization.
Optimization under general constraints.
Surrogates, global DFO, software, and references.
β¦ Subjects
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°;ΠΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°
π SIMILAR VOLUMES
<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
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
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