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 85 articles )

Showing results 1 to 20 of 85.
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  1. Campagna, Rosanna; Perracchione, Emma: Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines (2021)
  2. Cavoretto, R.; De Rossi, A.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: On the search of the shape parameter in radial basis functions using univariate global optimization methods (2021)
  3. Cavoretto, Roberto: Adaptive radial basis function partition of unity interpolation: a bivariate algorithm for unstructured data (2021)
  4. De Marchi, S.; Marchetti, F.; Perracchione, E.; Poggiali, D.: Multivariate approximation at fake nodes (2021)
  5. Gholampour, Faranak; Hesameddini, Esmail; Taleei, Ameneh: A stable RBF partition of unity local method for elliptic interface problems in two dimensions (2021)
  6. Karvonen, Toni; Oates, Chris J.; Girolami, Mark: Integration in reproducing kernel Hilbert spaces of Gaussian kernels (2021)
  7. Karvonen, Toni; Särkkä, Simo; Tanaka, Ken’ichiro: Kernel-based interpolation at approximate Fekete points (2021)
  8. Lin, Ji; Yu, Hao; Reutskiy, Sergiy; Wang, Yuan: A meshless radial basis function based method for modeling dual-phase-lag heat transfer in irregular domains (2021)
  9. Nikan, O.; Avazzadeh, Z.: Coupling of the Crank-Nicolson scheme and localized meshless technique for viscoelastic wave model in fluid flow (2021)
  10. Wenzel, Tizian; Santin, Gabriele; Haasdonk, Bernard: A novel class of stabilized greedy kernel approximation algorithms: convergence, stability and uniform point distribution (2021)
  11. Cavoretto, R.; De Rossi, A.: Adaptive refinement techniques for RBF-PU collocation (2020)
  12. Cavoretto, Roberto; De Rossi, Alessandra: A two-stage adaptive scheme based on RBF collocation for solving elliptic PDEs (2020)
  13. Cavoretto, Roberto; De Rossi, Alessandra: An adaptive LOOCV-based refinement scheme for RBF collocation methods over irregular domains (2020)
  14. Cavoretto, Roberto; De Rossi, Alessandra: Error indicators and refinement strategies for solving Poisson problems through a RBF partition of unity collocation scheme (2020)
  15. Cavoretto, Roberto; De Rossi, Alessandra: Adaptive procedures for meshfree RBF unsymmetric and symmetric collocation methods (2020)
  16. Chiu, Sung Nok; Ling, Leevan; McCourt, Michael: On variable and random shape Gaussian interpolations (2020)
  17. De Marchi, S.; Erb, W.; Marchetti, F.; Perracchione, E.; Rossini, M.: Shape-driven interpolation with discontinuous kernels: error analysis, edge extraction, and applications in magnetic particle imaging (2020)
  18. De Marchi, S.; Marchetti, F.; Perracchione, E.: Jumping with variably scaled discontinuous kernels (VSDKs) (2020)
  19. Esmaeili, H.; Moazami, D.: Application of Hilbert-Schmidt SVD approach to solve linear two-dimensional Fredholm integral equations of the second kind (2020)
  20. Esmaeili, H.; Moazami, Davoud: A stable kernel-based technique for solving linear Fredholm integral equations of the second kind and its applications (2020)

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