Introduction to Derivative-Free Optimization
| Author | : Andrew R. Conn |
| Publisher | : SIAM |
| Total Pages | : 276 |
| Release | : 2009-04-16 |
| ISBN-10 | : 9780898716689 |
| ISBN-13 | : 0898716683 |
| Rating | : 4/5 (683 Downloads) |
Book Synopsis Introduction to Derivative-Free Optimization by : Andrew R. Conn
Download or read book Introduction to Derivative-Free Optimization written by Andrew R. Conn and published by SIAM. This book was released on 2009-04-16 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-free methods and how they are designed to solve optimization problems. It is designed to be readily accessible to both researchers and those with a modest background in computational mathematics.