GaussQR

GaussQR: Stable Gaussian computation. Welcome to the GaussQR software website, developed both to facilitate experimentation with positive definite kernels (radial basis functions) and as supplemental content for the new book Kernel-Based Approximation Methods in MATLAB available from World Scientific Press. Although we are always updating our software library, we are happy to announce the release of the GaussQR 2.0 library (previously called RBF-QR) which has a host of brand new examples designed to demonstrate topics in our book. The upgrade should be relatively painless if you have been keeping up with the repository, although some adjustment is needed if you were still running rbfqr-1.3. Please contact us if you have difficulty using this, or if inconsistencies appear.


References in zbMATH (referenced in 98 articles )

Showing results 61 to 80 of 98.
Sorted by year (citations)
  1. Mustafa, Ghulam; Hameed, Rabia: Families of non-linear subdivision schemes for scattered data fitting and their non-tensor product extensions (2019)
  2. Ye, Qi: Kernel-based probability measures for generalized interpolations: a deterministic or stochastic problem? (2019)
  3. Ye, Qi: Kernel-based probability measures for interpolations (2019)
  4. Allasia, Giampietro: Remarkable Haar spaces of multivariate piecewise polynomials (2018)
  5. Cavoretto, Roberto; De Rossi, Alessandra; Perracchione, Emma: Optimal selection of local approximants in RBF-PU interpolation (2018)
  6. Cavoretto, Roberto; Schneider, Teseo; Zulian, Patrick: \textscOpenCLbased parallel algorithm for RBF-PUM interpolation (2018)
  7. Cheung, Ka Chun; Ling, Leevan; Schaback, Robert: (H^2)-convergence of least-squares kernel collocation methods (2018)
  8. Esmaeilbeigi, M.; Chatrabgoun, O.; Cheraghi, M.: Fractional Hermite interpolation using RBFs in high dimensions over irregular domains with application (2018)
  9. Francomano, E.; Paliaga, M.: Highlighting numerical insights of an efficient SPH method (2018)
  10. Garmanjani, Gholamreza; Cavoretto, Roberto; Esmaeilbeigi, M.: A RBF partition of unity collocation method based on finite difference for initial-boundary value problems (2018)
  11. Himpe, Christian: \textttemgr-- the empirical Gramian framework (2018)
  12. Ling, Leevan; Ye, Qi: On meshfree numerical differentiation (2018)
  13. Madan, Dilip B.; Schoutens, Wim: Zero covariation returns (2018)
  14. Mishra, Pankaj K.; Nath, Sankar K.; Sen, Mrinal K.; Fasshauer, Gregory E.: Hybrid Gaussian-cubic radial basis functions for scattered data interpolation (2018)
  15. Nobile, Fabio; Tempone, Raúl; Wolfers, Sören: Sparse approximation of multilinear problems with applications to kernel-based methods in UQ (2018)
  16. Perracchione, Emma: Rational RBF-based partition of unity method for efficiently and accurately approximating 3D objects (2018)
  17. Sadik, Mohamed; Hassan Ben-Ahmed, El; Wakrim, Mohamed: RBFPUM with QR factorization for solving water flow problem in multilayered soil (2018)
  18. Schaback, Robert: Superconvergence of kernel-based interpolation (2018)
  19. Ala, Guido; Fasshauer, Gregory E.; Francomano, Elisa; Ganci, Salvatore; McCourt, Michael J.: An augmented MFS approach for brain activity reconstruction (2017)
  20. Biazar, Jafar; Hosami, Mohammad: An interval for the shape parameter in radial basis function approximation (2017)