Hermite interpolation by Minkowski Pythagorean hodograph cubics

2006 ◽  
Vol 23 (5) ◽  
pp. 401-418 ◽  
Author(s):  
Jiří Kosinka ◽  
Bert Jüttler
2005 ◽  
Vol 22 (4) ◽  
pp. 325-352 ◽  
Author(s):  
Francesca Pelosi ◽  
Rida T. Farouki ◽  
Carla Manni ◽  
Alessandra Sestini

2007 ◽  
Vol 23 (1-2) ◽  
pp. 73-86 ◽  
Author(s):  
Gwang-Il Kim ◽  
Jae-Hoon Kong ◽  
Sunhong Lee

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Sunhong Lee ◽  
Hyun Chol Lee ◽  
Mi Ran Lee ◽  
Seungpil Jeong ◽  
Gwang-Il Kim

We present an algorithm forC1Hermite interpolation using Möbius transformations of planar polynomial Pythagoreanhodograph (PH) cubics. In general, with PH cubics, we cannot solveC1Hermite interpolation problems, since their lack of parameters makes the problems overdetermined. In this paper, we show that, for each Möbius transformation, we can introduce anextra parameterdetermined by the transformation, with which we can reduce them to the problems determining PH cubics in the complex planeℂ. Möbius transformations preserve the PH property of PH curves and are biholomorphic. Thus the interpolants obtained by this algorithm are also PH and preserve the topology of PH cubics. We present a condition to be met by a Hermite dataset, in order for the corresponding interpolant to be simple or to be a loop. We demonstrate the improved stability of these new interpolants compared with PH quintics.


2007 ◽  
Vol 76 (259) ◽  
pp. 1373-1392 ◽  
Author(s):  
Zbyněk Šír ◽  
Bert Jüttler

1995 ◽  
Vol 64 (212) ◽  
pp. 1589-1589 ◽  
Author(s):  
R. T. Farouki ◽  
C. A. Neff

2015 ◽  
Vol 23 (4) ◽  
Author(s):  
Jernej Kozak ◽  
Marjeta Krajnc ◽  
Mladen Rogina ◽  
Vito Vitrih

AbstractIn the paper, Pythagorean-hodograph cycloidal curves as an extension of PH cubics are introduced. Their properties are examined and a constructive geometric characterization is established. Further, PHC curves are applied in the Hermite interpolation, with closed form solutions been determined. The asymptotic approximation order analysis carried out indicates clearly which interpolatory curve solution should be selected in practice. This makes the curves introduced here a useful practical tool, in particular in algorithms that guide CNC machines.


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