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

Urheber*innen

Ezhov,  Nikolaj
External Organizations;

Neitzel,  Frank
External Organizations;

/persons/resource/sp

Petrovic,  S.
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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5007711.pdf
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Zitation

Ezhov, N., Neitzel, F., Petrovic, S. (2021): Spline Approximation, Part 2: From Polynomials in the Monomial Basis to B-splines—A Derivation. - Mathematics, 9, 18, 2198.
https://doi.org/10.3390/math9182198


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007711
Zusammenfassung
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.