Many applications rely on solving time-dependent partial differential
eq...
We present a hierarchical Bayesian learning approach to infer jointly sp...
Quadrature formulas (QFs) based on radial basis functions (RBFs) have be...
Summation-by-parts (SBP) operators allow us to systematically develop
en...
Recovering temporal image sequences (videos) based on indirect, noisy, o...
Radial basis function methods are powerful tools in numerical analysis a...
A new algorithm is developed to jointly recover a temporal sequence of i...
Summation-by-parts (SBP) operators are popular building blocks for
syste...
Image reconstruction based on indirect, noisy, or incomplete data remain...
Cubature formulas (CFs) based on radial basis functions (RBFs) have beco...
Many applications require multi-dimensional numerical integration, often...
It is well understood that boundary conditions (BCs) may cause global ra...
In this work, we investigate (energy) stability of global radial basis
f...
Positive interpolatory cubature formulas (CFs) are constructed for quite...
In many applications, it is impractical—if not even impossible—to obtain...
Numerical integration is encountered in all fields of numerical analysis...
In this work, we propose and investigate stable high-order collocation-t...
A main disadvantage of many high-order methods for hyperbolic conservati...