DocumentCode :
2055729
Title :
Curve fitting and design by optimal control methods
Author :
Alhanaty, M. ; Bercovier, M.
Author_Institution :
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
fYear :
1998
fDate :
29-31 Jul 1998
Firstpage :
108
Lastpage :
113
Abstract :
The theory of optimal control is introduced as a new approach for handling curve fitting and design problems. Optimal control provides a uniform formal framework for stating and solving multiple problems in computer-aided geometric design (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 rely 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. They are demonstrated on three applications of curve fitting and design: smoothing ν-splines, smoothing interpolating splines and approximating curves. All the applications are treated and solved using the uniform framework. The solution technique is based on the relaxation method
Keywords :
CAD; approximation theory; computational geometry; curve fitting; minimisation; optimal control; relaxation theory; smoothing methods; splines (mathematics); ν-splines; computer-aided geometric design; curve approximation; curve fitting; interpolating splines; minimization problem; optimal control methods; parameters; relaxation method; smoothing; uniform formal framework; Constraint theory; Control systems; Cost function; Curve fitting; Integral equations; Minimization methods; Optimal control; Relaxation methods; Relays; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 1998. Proceedings. 1998 IEEE Conference on
Conference_Location :
London
ISSN :
1093-9547
Print_ISBN :
0-8186-8509-3
Type :
conf
DOI :
10.1109/IV.1998.694206
Filename :
694206
Link To Document :
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