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20192022
most citedTowards Stable Radial Basis Function Methods for Linear Advection Problems

12 citations · 33 across the 5 of their papers we have counts for

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math.NA20221 cited

Energy-stable global radial basis function methods on summation-by-parts form

Jan Glaubitz, Jan Nordström, Philipp Öffner

Radial basis function methods are powerful tools in numerical analysis and have demonstrated good properties in many different simulations. However, for time-dependent partial diff…

math.NA20227 cited

Sequential image recovery from noisy and under-sampled Fourier data

Yao Xiao, Jan Glaubitz, Anne Gelb +1

A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-sampled Fourier data. Specifically, we consider the case where each data set is m…

math.NA202110 cited

Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions

Jan Glaubitz, Anne Gelb

It is well understood that boundary conditions (BCs) may cause global radial basis function (RBF) methods to become unstable for hyperbolic conservation laws (CLs). Here we investi…

math.NA202112 cited

Towards Stable Radial Basis Function Methods for Linear Advection Problems

Jan Glaubitz, Elise Le Mélédo, Philipp Öffner

In this work, we investigate (energy) stability of global radial basis function (RBF) methods for linear advection problems. Classically, boundary conditions (BC) are enforced stro…

math.NA20203 cited

Constructing Positive Interpolatory Cubature Formulas

Jan Glaubitz

Positive interpolatory cubature formulas (CFs) are constructed for quite general integration domains and weight functions. These CFs are exact for general vector spaces of continuo…

math.NA2020

Stable High Order Quadrature Rules for Scattered Data and General Weight Functions

Jan Glaubitz

Numerical integration is encountered in all fields of numerical analysis and the engineering sciences. By now, various efficient and accurate quadrature rules are known; for instan…