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