Parametric Continuation and Optimal Parametrization in Applied Mathematics and Mechanics

  • V. I. Shalashilin
  • E. B. Kuznetsov

Table of contents

  1. Front Matter
    Pages i-viii
  2. V. I. Shalashilin, E. B. Kuznetsov
    Pages 1-42
  3. V. I. Shalashilin, E. B. Kuznetsov
    Pages 43-66
  4. V. I. Shalashilin, E. B. Kuznetsov
    Pages 67-95
  5. V. I. Shalashilin, E. B. Kuznetsov
    Pages 97-135
  6. V. I. Shalashilin, E. B. Kuznetsov
    Pages 137-147
  7. V. I. Shalashilin, E. B. Kuznetsov
    Pages 149-164
  8. V. I. Shalashilin, E. B. Kuznetsov
    Pages 165-196
  9. V. I. Shalashilin, E. B. Kuznetsov
    Pages 197-219
  10. Back Matter
    Pages 221-228

About this book


A decade has passed since Problems of Nonlinear Deformation, the first book by E.I. Grigoliuk: and V.I. Shalashilin was published. That work gave a systematic account of the parametric continuation method. Ever since, the understanding of this method has sufficiently broadened. Previously this method was considered as a way to construct solution sets of nonlinear problems with a parameter. Now it is c1ear that one parametric continuation algorithm can efficiently work for building up any parametric set. This fact significantly widens its potential applications. A curve is the simplest example of such a set, and it can be used for solving various problems, inc1uding the Cauchy problem for ordinary differential equations (ODE), interpolation and approximation of curves, etc. Research in this area has led to exciting results. The most interesting of such is the understanding and proof of the fact that the length of the arc calculated along this solution curve is the optimal continuation parameter for this solution. We will refer to the continuation solution with the optimal parameter as the best parametrization and in this book we have applied this method to variable c1asses of problems: in chapter 1 to non-linear problems with a parameter, in chapters 2 and 3 to initial value problems for ODE, in particular to stiff problems, in chapters 4 and 5 to differential-algebraic and functional differential equations.


Approximation Boundary value problem Interpolation Numerical integration Potential algorithms ordinary differential equation

Authors and affiliations

  • V. I. Shalashilin
    • 1
  • E. B. Kuznetsov
    • 1
  1. 1.Moscow Aviation InstituteMoscowRussia

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6391-5
  • Online ISBN 978-94-017-2537-8
  • Buy this book on publisher's site