The Experts below are selected from a list of 4356 Experts worldwide ranked by ideXlab platform
Chanderjit Bajaj - One of the best experts on this subject based on the ideXlab platform.
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algebraic surface design with Hermite Interpolation
ACM Transactions on Graphics, 1992Co-Authors: Chanderjit BajajAbstract:This paper presents an efficient algorithm called Hermite Interpolation, for constructing low-degree algebraic surfaces, which contain, with C 1 or tangent plane continuity, any given collection of points and algebraic space curves having derivative information. Positional as well as derivative constraints on an implicitly defined algebraic surface are translated into a homogeneous linear system, where the unknowns are the coefficients of the polynomial defining the algebraic surface. Computaional details of the Hermite Interpolation algorithm are presented along with several illustrative applications of the Interpolation technique to construction of joining or blending surfaces for solid models as well as fleshing surfaces for curved wire frame models. A heuristic approach to interactive shape control of implicit algebraic surfaces is also given, and open problems in algebraic surface design are discussed.
H. Takata - One of the best experts on this subject based on the ideXlab platform.
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A formal linearization method by the cubic Hermite Interpolation for nonlinear systems
Proceedings of 35th IEEE Conference on Decision and Control, 1996Co-Authors: K. Narikiyo, H. TakataAbstract:A computational method of the formal linearization for nonlinear systems is proposed by using a piecewise cubic Hermite Interpolation. We introduce a linearizing function that consists of the state variables, their squares, and the cubes. The nonlinear terms are approximated by the cubic Hermite Interpolation and thus a formal linear system with respect to the linearizing function is acquired. This method is easily carried out with the aid of computers. A nonlinear filter is synthesized as an application of the method and is verified through numerical examples.
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A formal linearization method by the cubic Hermite Interpolation and its applications
Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics Control and Instrumentation, 1996Co-Authors: K. Narikiyo, H. TakataAbstract:A computational method of the formal linearization for nonlinear systems is proposed by using a cubic Hermite Interpolation. We introduce a linearizing function that consists of the state variables, their squares, and the cubes. The nonlinear terms are approximated by the cubic Hermite Interpolation and thus a formal linear system with respect to the linearizing function is acquired. This method is easily carried out with the aid of computers. A nonlinear observer and a nonlinear filter are synthesized as applications of the method and are verified through numerical examples.
Seungpil Jeong - One of the best experts on this subject based on the ideXlab platform.
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Hermite Interpolation Using Möbius Transformations of Planar Pythagorean-Hodograph Cubics
Abstract and Applied Analysis, 2012Co-Authors: Seungpil JeongAbstract:We present an algorithm for Hermite Interpolation using Mobius transformations of planar polynomial Pythagoreanhodograph (PH) cubics. In general, with PH cubics, we cannot solve Hermite Interpolation problems, since their lack of parameters makes the problems overdetermined. In this paper, we show that, for each Mobius transformation, we can introduce an extra parameter determined by the transformation, with which we can reduce them to the problems determining PH cubics in the complex plane . Mobius 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.
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Hermite Interpolation using ph curves with undetermined junction points
Bulletin of The Korean Mathematical Society, 2012Co-Authors: Jae Hoon Kong, Seungpil JeongAbstract:Representing planar Pythagorean hodograph (PH) curves by the complex roots of their hodographs, we standardize Farouki's double cubic method to become the undetermined junction point (UJP) method, and then prove the generic existence of solutions for general C 1 Hermite Interpolation problems. We also extend the UJP method to solve C 2 Hermite Interpolation problems with multiple PH cubics, and also prove the generic existence of solutions which consist of triple PH cubics with C 1 junction points. Further generalizing the UJP method, we go on to solve C 2 Hermite Interpolation problems using two PH quintics with a C 1 junction point, and we also show the possibility of applying the modied UJP method to G 2 ( C 1 ) Hermite Interpolation.
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c1 Hermite Interpolation with simple planar ph curves by speed reparametrization
Computer Aided Geometric Design, 2008Co-Authors: Jae Hoon Kong, Seungpil JeongAbstract:We introduce a new method of solving C^1 Hermite Interpolation problems, which makes it possible to use a wider range of PH curves with potentially better shapes. By characterizing PH curves by roots of their hodographs in the complex representation, we introduce PH curves of type K(t-c)^2^n^+^1+d. Next, we introduce a speed reparametrization. Finally, we show that, for C^1 Hermite data, we can use PH curves of type K(t-c)^2^n^+^1+d or strongly regular PH quintics satisfying the G^1 reduction of C^1 data, and use these curves to solve the original C^1 Hermite Interpolation problem.
Claus Schneider - One of the best experts on this subject based on the ideXlab platform.
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Rational Hermite Interpolation and Quadrature
Numerical Integration IV, 1993Co-Authors: Claus SchneiderAbstract:Rational Hermite Interpolation is used in two different ways in order to derive and analyze quadrature rules. One approach yields quadratures of Gaussian-type whereas the other one generalizes Engels’ dual quadratures exhibiting the close connection between rational Hermite Interpolation and quadrature in general.
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Hermite Interpolation the barycentric approach
Computing, 1991Co-Authors: Claus Schneider, W WernerAbstract:The barycentric formulas for polynomial and rational Hermite Interpolation are derived; an efficient algorithm for the computation of these interpolants is developed. Some new Interpolation principles based on rational Interpolation are discussed.
K. Narikiyo - One of the best experts on this subject based on the ideXlab platform.
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A formal linearization method by the cubic Hermite Interpolation for nonlinear systems
Proceedings of 35th IEEE Conference on Decision and Control, 1996Co-Authors: K. Narikiyo, H. TakataAbstract:A computational method of the formal linearization for nonlinear systems is proposed by using a piecewise cubic Hermite Interpolation. We introduce a linearizing function that consists of the state variables, their squares, and the cubes. The nonlinear terms are approximated by the cubic Hermite Interpolation and thus a formal linear system with respect to the linearizing function is acquired. This method is easily carried out with the aid of computers. A nonlinear filter is synthesized as an application of the method and is verified through numerical examples.
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A formal linearization method by the cubic Hermite Interpolation and its applications
Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics Control and Instrumentation, 1996Co-Authors: K. Narikiyo, H. TakataAbstract:A computational method of the formal linearization for nonlinear systems is proposed by using a cubic Hermite Interpolation. We introduce a linearizing function that consists of the state variables, their squares, and the cubes. The nonlinear terms are approximated by the cubic Hermite Interpolation and thus a formal linear system with respect to the linearizing function is acquired. This method is easily carried out with the aid of computers. A nonlinear observer and a nonlinear filter are synthesized as applications of the method and are verified through numerical examples.