9780136272168-0136272169-Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall Series in Computational Mathematics)

Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall Series in Computational Mathematics)

ISBN-13: 9780136272168
ISBN-10: 0136272169
Edition: F First Edition
Author: J. E. Dennis, Robert B. Schnabel
Publication date: 1983
Publisher: Prentice Hall
Format: Hardcover 378 pages
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Book details

ISBN-13: 9780136272168
ISBN-10: 0136272169
Edition: F First Edition
Author: J. E. Dennis, Robert B. Schnabel
Publication date: 1983
Publisher: Prentice Hall
Format: Hardcover 378 pages

Summary

Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall Series in Computational Mathematics) (ISBN-13: 9780136272168 and ISBN-10: 0136272169), written by authors J. E. Dennis, Robert B. Schnabel, was published by Prentice Hall in 1983. With an overall rating of 3.5 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall Series in Computational Mathematics) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.59.

Description

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 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. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems.

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