Efficient curve fitting: An application of multiobjective programming

Curve fitting is an interesting and important subject in mathematics and engineering. It has been studied extensively and a number of approaches, mostly based on polynomials and piecewise polynomials, have been employed. In the usual setting, some data points are given and one wants to find a polyno...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied mathematical modelling Jg. 35; H. 1; S. 346 - 365
Hauptverfasser: Pourkarimi, L., Yaghoobi, M.A., Mashinchi, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Inc 2011
Elsevier
Schlagworte:
Applied sciences
Curvature
Curve fitting
Data points
Decision theory. Utility theory
Efficiency
Exact sciences and technology
Mathematical analysis
Mathematical models
Mathematical programming
Maximal efficient face
Multiobjective linear programming
Norms
Operational research and scientific management
Operational research. Management science
Programming
Scalars
Smoothness
Maximal efficient face
Multiobjective linear programming
Efficiency
Curve fitting
Smoothness
Decision support system
Decision making
Multiobjective programming
Linear programming
Polynomial function
Model matching
Preference
Polynomial interpolation
Curvature
ISSN:0307-904X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Curve fitting is an interesting and important subject in mathematics and engineering. It has been studied extensively and a number of approaches, mostly based on polynomials and piecewise polynomials, have been employed. In the usual setting, some data points are given and one wants to find a polynomial function with the minimum violations measured by a norm in the given data points. In these approaches, norms are applied to aggregate all violations as a scalar. In this paper, the polynomial curve fitting problem is considered from the viewpoint of decision making. Taking into account some weaknesses of the norm-based approaches, a multiobjective programming model for curve fitting is given in which the violations are minimized simultaneously as a vector. This approach is more flexible for the curve fitting problem. Indeed, using the concept of efficiency in multiobjective programming, it enables us to impose some additional helpful secondary preferences. Especially, this approach can obtain a fitted curve with efficient violations and minimum average curvature or minimum average slope.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0307-904X
DOI:10.1016/j.apm.2010.06.009