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 93 articles )

Showing results 1 to 20 of 93.
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  1. Campagna, Rosanna; Perracchione, Emma: Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines (2021)
  2. Campi, C.; Marchetti, F.; Perracchione, E.: Learning via variably scaled kernels (2021)
  3. 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)
  4. Cavoretto, Roberto: Adaptive radial basis function partition of unity interpolation: a bivariate algorithm for unstructured data (2021)
  5. De Marchi, S.; Marchetti, F.; Perracchione, E.; Poggiali, D.: Multivariate approximation at fake nodes (2021)
  6. Geridönmez, B. Pekmen; Öztop, H. F.: Effects of partial magnetic field in a vented square cavity with aiding and opposing of MWCNT-water nanofluid flows (2021)
  7. Gholampour, Faranak; Hesameddini, Esmail; Taleei, Ameneh: A stable RBF partition of unity local method for elliptic interface problems in two dimensions (2021)
  8. Hussain, Manzoor: Hybrid radial basis function methods of lines for the numerical solution of viscous Burgers’ equation (2021)
  9. Karvonen, Toni; Oates, Chris J.; Girolami, Mark: Integration in reproducing kernel Hilbert spaces of Gaussian kernels (2021)
  10. Karvonen, Toni; Särkkä, Simo; Tanaka, Ken’ichiro: Kernel-based interpolation at approximate Fekete points (2021)
  11. Kim, Jungtaek; McCourt, Michael; You, Tackgeun; Kim, Saehoon; Choi, Seungjin: Bayesian optimization with approximate set kernels (2021)
  12. 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)
  13. Marchetti, F.: The extension of Rippa’s algorithm beyond LOOCV (2021)
  14. Morikuni, Keiichi: Projection method for eigenvalue problems of linear nonsquare matrix pencils (2021)
  15. Nikan, O.; Avazzadeh, Z.: Coupling of the Crank-Nicolson scheme and localized meshless technique for viscoelastic wave model in fluid flow (2021)
  16. Nikan, O.; Avazzadeh, Z.: A localisation technique based on radial basis function partition of unity for solving Sobolev equation arising in fluid dynamics (2021)
  17. Perracchione, Emma; Massone, Anna Maria; Piana, Michele: Feature augmentation for the inversion of the Fourier transform with limited data (2021)
  18. Wenzel, Tizian; Santin, Gabriele; Haasdonk, Bernard: A novel class of stabilized greedy kernel approximation algorithms: convergence, stability and uniform point distribution (2021)
  19. Cavoretto, R.; De Rossi, A.: Adaptive refinement techniques for RBF-PU collocation (2020)
  20. Cavoretto, Roberto; De Rossi, Alessandra: A two-stage adaptive scheme based on RBF collocation for solving elliptic PDEs (2020)

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