Introduction to derivative-free optimization
โ Scribed by Andrew R. Conn, Katya Scheinberg, Luis N. Vicente
- Publisher
- Society for Industrial and Applied Mathematics/Mathematical Programming Society
- Year
- 2009
- Tongue
- English
- Leaves
- 289
- Series
- MPS-SIAM series on optimization 8
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. 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 optimiza
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. 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 optimiza