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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=31390"><dc:title>On $L^2$ approximation by spatial Pythagorean-hodograph curves</dc:title><dc:creator>Farouki,	Rida T.	(Avtor)
	</dc:creator><dc:creator>Knez,	Marjetka	(Avtor)
	</dc:creator><dc:creator>Vitrih,	Vito	(Avtor)
	</dc:creator><dc:creator>Žagar,	Emil	(Avtor)
	</dc:creator><dc:subject>$L^2$ approximation</dc:subject><dc:subject>quaternions</dc:subject><dc:subject>Pythagorean-hodograph curves</dc:subject><dc:subject>B-splines</dc:subject><dc:subject>preimage</dc:subject><dc:description>Two methods for the $L^2$ approximation of smooth space curves by spatial Pythagorean-hodograph (PH) curves are considered. The first method employs direct approximation in ${\mathbb R}^3$, which results in a non-linear system of equations that may be solved by a numerical iteration or optimization scheme. The second method performs the optimization in the quaternion preimage space of PH curves, which results in a linear system of equations. The preimage of a curve in ${\mathbb R}^3$ is a surface in the quaternion space, and an appropriate locus on this surface must be identified for the given space curve. This is accomplished by observing that PH curves equipped with a rational rotation-minimizing frame (RMF) have preimages that are geodesic loci on the surface, and computing a discretized approximation to the RMF on the given curve. The methods are also extended to the approximation of spatial B-spline curves. Detailed algorithm descriptions are provided for both methods, and several computed examples illustrate their performance.</dc:description><dc:date>2027</dc:date><dc:date>2026-07-31 08:35:15</dc:date><dc:type>Neznano</dc:type><dc:identifier>31390</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
