Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods
From MaRDI portal
Publication:5152843
DOI10.1007/978-3-030-55874-1_49zbMath1471.92049arXiv2004.12670OpenAlexW3164913507MaRDI QIDQ5152843
Bernard Haasdonk, Syn Schmitt, Tizian Wenzel, Gabriele Santin
Publication date: 27 September 2021
Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.12670
Cites Work
- Adaptive greedy techniques for approximate solution of large RBF systems
- Near-optimal data-independent point locations for radial basis function interpolation
- A novel class of stabilized greedy kernel approximation algorithms: convergence, stability and uniform point distribution
- Kernel-based Approximation Methods using MATLAB
- Surrogate modeling of multiscale models using kernel methods
- Greedy Kernel Approximation for Sparse Surrogate Modeling
- Scattered Data Approximation