- Interpolation with piecewise quadratic visually C2 Bezier polynomials
- Multivariate Interpolation and Approximation by Translates of a Basis Function
- Error Estimates for Approximations from Control Nets
- CONVERGENCE OF UNSYMMETRIC KERNELBASED MESHLESS COLLOCATION METHODS
- This paper describes a numerical realization of an extended con-tinuous Newton method de ned by I. Diener. It traces a connected
- Draft of August 17, 2001 Optimal Stability Results for Interpolation
- File : usr/nam/rschaba/tex/fertig/biri/paper.tex, TEXed 4.2.1992, Status : Accepted for Biri proceedings Rational Geometric Curve Interpolation
- A Parallel Multistage Method for Surface{Surface Intersection
- Solving the 3D Laplace Equation by Meshless Collocation via Harmonic Kernels
- Multivariate Interpolation by Polynomials and Radial Basis Functions Robert Schaback
- Radial Basis Functions Viewed From Cubic Splines
- On the Scope of Meshless Kernel Methods Robert Schaback
- Construction Techniques for Highly Accurate QuasiInterpolation Operators
- Improved Error Bounds for Scattered Data Interpolation
- Local Error Estimates for Radial Basis Function
- Adaptive Interpolation by Scaled Multiquadrics Mira Bozzini (bozzini@matapp.unimib.it)
- Lower Bounds for Norms of Inverses of Interpolation Matrices for Radial Basis Functions
- Using compactly supported radial basis functions to solve partial dioeerential equations
- Rd f(x) = (2)-d/2
- Creating Surfaces from Scattered Data Using Radial Basis Functions
- Baltzer Journals December 18, 1995 Optimal Recovery in
- Publications of R. Schaback as of May 10, 2011 [1] R. Schaback and D. Braess. Eine Losungsmethode fur die lineare
- Convergence Analysis of Methods for Solving General Equations
- Interpolation of Spatial Data -A Stochastic or a Deterministic Michael Scheuerera,
- MATHEMATICAL RESULTS CONCERNING KERNEL Robert Schaback
- Inverse and Saturation Theorems for Radial Basis Function Interpolation
- Numerische Mathematik manuscript No. (will be inserted by the editor)
- ON GENERALIZED MOVING LEAST SQUARES AND DIFFUSE DERIVATIVES
- Recursive Kernels Mohammed Mouattamid and Robert Schaback
- On Adaptive Unsymmetric Meshless Collocation Leevan Ling1 and Robert Schaback2
- Stability of KernelBased Interpolation Stefano De Marchi
- Linearly Constrained Reconstruction of Functions by Kernels
- Limits of Bernstein{Bezier Curves for Periodic Control Nets
- The Meshless Kernel-Based Method of Lines for Solving the Equal Width Equation
- On the Expected Sublinearity of the Boyer{Moore Algorithm
- Remarks on High Accuracy Geometric Hermite Interpolation Robert Schaback
- Comparison of Radial Basis Function Interpolants Robert Schaback
- K H f(x) = (f, K(x, ))H x , f H,
- Reconstruction of Multivariate Functions from Scattered Data
- On Convergent Numerical Algorithms for Unsymmetric Collocation
- Maryam Pazouki , Robert Schaback
- Approximation by Radial Basis Functions
- A Multi{Parameter Method for Nonlinear Least{Squares Approximation
- AiCM manuscript No. (will be inserted by the editor)
- Interpolation by Basis Functions of Different Scales and Shapes
- International Workshop on MeshFree Methods 2003 1 Special Techniques for Kernel-Based Reconstruction of
- Adaptive Numerical Solution of MFS Systems
- Reproduction of Polynomials by Radial Basis Functions Robert Schaback
- A Posteriori Error Bounds for Meshless Methods R. Schaback, Gottingen1
- On Global GC2 Convexity Preserving Interpolation of Planar Curves by Piecewise Bezier Polynomials
- Planar Curve Interpolation by Piecewise Conics of Arbitrary Type
- DIRECT MESHLESS LOCAL PETROV-GALERKIN (DMLPG) METHOD: A GENERALIZED MLS APPROXIMATION
- Solving the Laplace Equation by Meshless Collocation Using Harmonic Kernels
- Offene Probleme der Arbeitsgruppe Stand 18. 11. 2003
- Optimal Geometric Hermite Interpolation of Curves
- Solving Partial Differential Equations by Collocation using Radial Basis Functions
- Recovery of Functions From Weak Data Using Unsymmetric Meshless
- On the Efficiency of Interpolation by Radial Basis Functions
- Convergence of Planar Curve Interpolation Schemes Robert Schaback
- Why Does MLPG Work? R. Schaback1
- Programming Hints for KernelBased Methods
- K(x, y) := (c2 (1 + x -y 2
- Nonstandard Kernels and Their Applications
- The Meshless Kernel-Based Method of Lines for Solving the Equal Width Equation
- Sampling and Stability C. Rieger, R. Schaback, B. Zwicknagl
- INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Int. J. Numer. Meth. Engng 2000; 00:16 Prepared using nmeauth.cls [Version: 2002/09/18 v2.02]
- 1 X := {x0, . . . , xn}
- Limit Problems for Interpolation by Analytic Radial Basis Functions
- Solvability of Partial Differential Equations by Meshless Kernel Methods
- Results on Meshless Collocation Techniques , and R. Schaback
- Kernel BSplines and Interpolation M. Bozzini, L. Lenarduzzi and R. Schaback1
- Acta Numerica (2006), pp. 197 c Cambridge University Press, 2006 DOI: 10.1017/S0962492904000077 Printed in the United Kingdom
- Recent developments in the dual receiprocity method using compactly supported radial basis functions
- Approximation in Sobolev Spaces by Kernel Expansions
- Numerical Algorithms 0 (2000) ?{? 1 Adaptive Greedy Techniques for Approximate Solution
- Numerical Techniques Based on Radial Basis Functions
- Operators On Radial Functions Robert Schaback and Z. Wu
- Error Estimates and Condition Numbers for Radial Basis Function Interpolation
- Shape preserving properties and convergence of univariate multiquadric quasi{interpolation
- reliable starting vectors for curve calculation. So far we did not try any algorithm to handle these patch pairs; we just kept their diameter " smaller than the display precision and treated
- GEOMETRICAL DIFFERENTIATION AND HIGH{ACCURACY CURVE INTERPOLATION
- Adaptive Rational Splines Robert Schaback
- Native Hilbert Spaces for Radial Basis Functions I
- A Nonlinear Discretization Theory Klaus Bohmer
- Stable and Convergent Unsymmetric Meshless Collocation Methods