Curve fitting and design by optimal control methods

M. Alhanaty*, M. Bercovier

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In the present work the theory of optimal control is introduced as a new approach for handling curve fitting and design problems. Optimal control provides a uniform formal frame for stating and solving multiple problems in CAGD. As a result new classes of curves are defined and known problems are analyzed from a new viewpoint. Often families of curves which are defined by a minimization problem relay on parameters. Such problems are an appropriate base for handling curve fitting and design by optimal control methods. The methods suit a wide variety of problems. It is demonstrated on three applications of curve fitting and design: smoothing v-splines, smoothing interpolating splines, and approximating curves. All the applications are treated and solved using the uniform frame. The solution technique is based on the relaxation method.

Original languageEnglish
Pages108-113
Number of pages6
StatePublished - 1998
EventProceedings of the 1998 International Conference on Information Visualization, IV - London, UK
Duration: 29 Jul 199831 Jul 1998

Conference

ConferenceProceedings of the 1998 International Conference on Information Visualization, IV
CityLondon, UK
Period29/07/9831/07/98

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