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Introduction to Numerical Continuation Methods (Classics in Applied Mathematics, Series Number 45)

Introduction to Numerical Continuation Methods (Classics in Applied Mathematics, Series Number 45)

Introduction to Numerical Continuation Methods (Classics in Applied Mathematics,
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Introduction to Numerical Continuation Methods (Classics in Applied Mathematics, Series Number 45) Paperback - 1987

by Allgower, Eugene L

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Cambridge University Press, 1987-01-01. paperback. Used: Good. 7.25x0.75x10.25. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Introduction to Numerical Continuation Methods (Classics in Applied Mathematics, Series Number 45)
  • Author Allgower, Eugene L
  • Binding Paperback
  • Condition Used: Good
  • Pages 388
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 1987-01-01
  • Illustrated Yes
  • Bookseller's Inventory # SONG089871544X
  • ISBN 9780898715446 / 089871544X
  • Weight 1.6 lbs (0.73 kg)
  • Dimensions 9.9 x 6.7 x 0.8 in (25.15 x 17.02 x 2.03 cm)
  • Size 7.25x0.75x10.25
  • Category Mathematics
  • Library of Congress Catalogue Number 2003054203
  • Dewey Decimal Code 515.353
  • Quantity available 1

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From the publisher

Numerical continuation methods have provided important contributions toward the numerical solution of nonlinear systems of equations for many years. The methods may be used not only to compute solutions, which might otherwise be hard to obtain, but also to gain insight into qualitative properties of the solutions. Introduction to Numerical Continuation Methods, originally published in 1979, was the first book to provide easy access to the numerical aspects of predictor corrector continuation and piecewise linear continuation methods. Not only do these seemingly distinct methods share many common features and general principles, they can be numerically implemented in similar ways. Introduction to Numerical Continuation Methods also features the piecewise linear approximation of implicitly defined surfaces, the algorithms of which are frequently used in computer graphics, mesh generation, and the evaluation of surface integrals.

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