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Numerical Methods for Unconstrained Optimization and Nonlinear Equations

Numerical Methods for Unconstrained Optimization and Nonlinear Equations

Numerical Methods for Unconstrained Optimization and Nonlinear Equations Paperback - 1987

by J.E. Dennis

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Paperback. New. 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.
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Details

  • Title Numerical Methods for Unconstrained Optimization and Nonlinear Equations
  • Author J.E. Dennis
  • Binding Paperback
  • Condition New
  • Pages 394
  • Volumes 1
  • Language ENG
  • Publisher Society for Industrial and Applied Mathematic
  • Publication date January 1, 1987
  • Illustrated Yes
  • Bookseller's Inventory # A9780898713640
  • ISBN 9780898713640 / 0898713641
  • Weight 1.25 lbs (0.57 kg)
  • Dimensions 9 x 6 x 0.9 in (22.86 x 15.24 x 2.29 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 95051776
  • Dewey Decimal Code 519.4
  • Quantity available 10

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Reader reviews for Numerical Methods for Unconstrained Optimization and Nonlinear Equations

From the publisher

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.

First line

This book discusses the methods, algorithms, and analysis involved in the computational solution of three important nonlinear problems: solving systems of nonlinear equations, unconstrained minimization of a nonlinear functional, and parameter selection by nonlinear least squares.
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