Skip to main content

Part of the book series: Progress in Scientific Computing ((PSC,volume 2))

Abstract

The present article is a short summary or a more extensive presentation — see [9]. Multiple shooting (MS) techniques as developed in [4,16,19,5] are one of the popular approaches for the numerical solution of (in general nonlinear) boundary value problems (BVP’s) for ordinary differential equations (ODE’s). For alternative approaches see e.g. [1,14]. For a recent survey on MS techniques see [6], where also further references and historical remarks can be found. The application of MS techniques to parameter identification has been nicely developed in [2]. In fact, the efficient and economic implementation of a parameter identification algorithm has motivated the present study. Even though, for the purpose of simplification, most of the presentation is confined to the standard BVP case (without explicit dependence on parameters), the results also apply — mutatis mutandis — to the parameter identification case.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. U. Ascher, I. Christiansen, R.D. Russell: A Collocation Solver for Mixed Order Systems of Boundary Value Problems. Math. Comp. 33, 659–679 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  2. H.G. Bock: Numerical Treatment of Inverse Problems in Chemical Reaction Kinetics. Springer Series Chemical Physics 18, section 8, p.102–125 (1981).

    Article  Google Scholar 

  3. C.G. Broyden: A class of methods for solving non-linear simultaneous ecuations. Math. Comp. 19, 577–583 (1965).

    Article  MathSciNet  MATH  Google Scholar 

  4. R. Bulirsch: Die Mehrzielmethode zur numerischen Lösung von nichtlinearen Randwertproblemen und Aufgaben der optimalen Steuerung. Carl-Cranz-Gesellschaft: Tech.Rep. (Oct. 1971).

    Google Scholar 

  5. P. Deuflhard: Non-linear Equation Solvers in Boundary Value Problem Codes. Sprinqer Lecture Notes Computer Science 76, (Childs et al., ed.), p. 40–66 (1979).

    Google Scholar 

  6. P. Deuflhard: Recent Advances in Multiple Shooting Techniques. In: Computational Techniques for Ordinary Differential Equations (Gladwell/ Sayers, ed.), Section 10, p.217–272. London, New York: Academic Press 1980).

    Google Scholar 

  7. P. Deuflhard: Order and Stepsize Control in Extrapolation Methods. Universität Heidelberg, SFB 123: Tech. Rep. 93 (1980). To appear in Numer. Math. (1983).

    Google Scholar 

  8. P. Deuflhard, V. Apostolescu: An Underrelaxed Gauss-Newton Method for Equality Constrained Nonlinear Least Squares Problems. Springer Lecture Notes Control Inf.Sci. 7, 22–32 (1978).

    Article  MathSciNet  Google Scholar 

  9. P. Deuflhard, G. Bader: Multiple Shooting Techniques Revisited. University of Heidelberg, SFB 123: Tech. Rep. 163 (June 1982).

    Google Scholar 

  10. P. Deuflhard, W. Sautter: On Rank-Deficient Pseudo-Inverses. J. Lin. Alg. Appl. 29, 91–111 (1980).

    Article  MathSciNet  MATH  Google Scholar 

  11. H.J. Diekhoff, P. Lory, H.J. Oberle, H.J. Pesch, P. Rentrop, R. Seydel: Comparing Routines for the Numerical Solution of Initial Value Problems for Ordinary Differential Equations in Multiple Shooting. Numer.Math. 27, 449–469 (1977).

    Article  MathSciNet  MATH  Google Scholar 

  12. M. Hermann, H. Berndt: RWPM: A Multiple Shooting Code for Nonlinear Two-Point Boundary Value Problems. Forschungsergebnisse der Friedrich-Schi lier-Universität Jena: Nr. N/81/27 (May 1981).

    Google Scholar 

  13. M. Jankowski, H. Wozniakowski: Iterative Refinement Implies Numerical Stability. BIT 17, 303–311 (1977).

    Article  MathSciNet  MATH  Google Scholar 

  14. M. Lentini, V. Pereyra: An adaptive finite difference solver for nonlinear two-point boundary value problems with mild boundary layers. SIAM J. Numer. Anal. 14, 91–111 (1977).

    Article  MathSciNet  MATH  Google Scholar 

  15. R.M.M. Mattheij: The Conditioning of Linear Boundary Value Problems. To appear in SIAM J. Numer. Anal. (1982).

    Google Scholar 

  16. M.R. Osborne: On shooting methods for boundary value problems. J.Math. Anal. Appl. 27, 417–433 (1969).

    Article  MathSciNet  MATH  Google Scholar 

  17. L.K. Schubert: Modification of a quasi-Newton method for nonlinear equations with a sparse Jacobian. Math. Comp. 24, 27–30 (1970).

    Article  MathSciNet  MATH  Google Scholar 

  18. R.D. Skeel: Iterative Refinement Implies Numerical Stability for Gaussian Elimination. Math.Comp. 35, 817–832 (1980).

    Article  MathSciNet  MATH  Google Scholar 

  19. J. Stoer, R. Bulirsch: Einführung in die Numerische Mathematik II. Berlin, Heidelberg, New York: Springer (1st ed., 1973).

    MATH  Google Scholar 

  20. J.M. Varah: Alternate row and column elimination for solving certain linear systems. SIAM J. Numer. Anal. 13, 71–75 (1976).

    Article  MathSciNet  MATH  Google Scholar 

  21. R. Weiss: The Convergence of Shooting Methods. BIT 13, 470–475 (1973).

    Article  MATH  Google Scholar 

  22. J.H. Wilkinson: The Algebraic Eigenvalue Problem. Oxford: Clarendon Press (1965).

    MATH  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1983 Birkhäuser Boston

About this chapter

Cite this chapter

Deuflhard, P., Bader, G. (1983). Multiple Shooting Techniques Revisited. In: Deuflhard, P., Hairer, E. (eds) Numerical Treatment of Inverse Problems in Differential and Integral Equations. Progress in Scientific Computing, vol 2. Birkhäuser Boston. https://doi.org/10.1007/978-1-4684-7324-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-7324-7_6

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-0-8176-3125-3

  • Online ISBN: 978-1-4684-7324-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics