Spline Approximation, Part 2: From Polynomials in the Monomial Basis to B-splines—A Derivation

Nikolaj Ezhov, Frank Neitzel and Svetozar Petrovic
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Nikolaj Ezhov: Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, 10623 Berlin, Germany
Frank Neitzel: Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, 10623 Berlin, Germany
Svetozar Petrovic: Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, 10623 Berlin, Germany

Mathematics, 2021, vol. 9, issue 18, 1-24

Abstract: In a series of three articles, spline approximation is presented from a geodetic point of view. In part 1, an introduction to spline approximation of 2D curves was given and the basic methodology of spline approximation was demonstrated using splines constructed from ordinary polynomials. In this article (part 2), the notion of B-spline is explained by means of the transition from a representation of a polynomial in the monomial basis (ordinary polynomial) to the Lagrangian form, and from it to the Bernstein form, which finally yields the B-spline representation. Moreover, the direct relation between the B-spline parameters and the parameters of a polynomial in the monomial basis is derived. The numerical stability of the spline approximation approaches discussed in part 1 and in this paper, as well as the potential of splines in deformation detection, will be investigated on numerical examples in the forthcoming part 3.

Keywords: spline; B-spline; polynomial; monomial; basis change; Lagrange; Bernstein; interpolation; approximation; least squares adjustment (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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