Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics)
| Author | : | |
| Rating | : | 4.59 (972 Votes) |
| Asin | : | 0898713641 |
| Format Type | : | paperback |
| Number of Pages | : | 394 Pages |
| Publish Date | : | 2017-09-11 |
| Language | : | English |
DESCRIPTION:
Coleman, Zentrallblatt für Mathematik, Band 847/96.. "This is an excellent book to be used as a text or a resource." -- T. F
"I understood it!" according to Colin Priest. Looking for a text that explains the maths and the implementation of optimisation? I needed to write a program that included numerical optimisation, but I didn't understand the maths. I'd tried to read some other books on the subject, but I gave up because they presumed too much background know. SIAM calls this book a "Classic" for good reason. kelly londry The ultimate self-teaching book for Newton-type algorithms that address small or large systems of nonlinear equations. A comprehensive treatment of general unconstrained optimization, least-squares optimization, and also well-determined systems. Unusually well-written, with a nice blend between. Allan Vandyke said Excellent. I have to linearise a mathematical model for a Computational Fluid Dynamics problem. I have many books on CFD which all mention Newtons Method for linearisation, however I have struggled with their description of Newtons Method. Fortunately the book by Dennis and Schnabel is first class and I w
. J. Robert B. is Noah Harding Professor of Computational and Applied Mathematics at Rice University. Dennis, Jr. Schnabel is Professor of Computer Science at the University of Colorado at Boulder. E
The algorithms covered are all based on Newton's method or 'quasi-Newton' methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems.