Biblio Index

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D
Dell'Accio, F., & Di Tommaso, F.. (2019). Rate of convergence of multinode Shepard operators. Dolomites Research Notes on Approximation, 12(1), 1-6. presented at the 02/2019. doi:10.14658/pupj-drna-2019-1-1
PDF icon DellAccioDiTommaso_2019_RCM.pdf (92.2 KB)
F
Fasshauer, G. (2008). RBF Interpolation and MLS Approximation. Dolomites Research Notes on Approximation, 1(1). presented at the 09/2008.
PDF icon Fasshauer-2008-Lecture2.pdf (997.89 KB)
Fasshauer, G. (2008). RBF Collocation and Polynomial Pseudospectral Methods. Dolomites Research Notes on Approximation, 1(1). presented at the 09/2008.
PDF icon Fasshauer-2008-Lecture4.pdf (834.01 KB)
Franceschini, A., Ferronato, M., Janna, C., & Magri, V. A. P.. (2018). Recent advancements in preconditioning techniques for large size linear systems suited for High Performance Computing. Dolomites Research Notes on Approximation, 11(3), 11-22. presented at the 11/2018. doi:10.14658/pupj-drna-2018-3-3
PDF icon Franceschinietal_DRNA2018.pdf (363.76 KB)
P
Perracchione, E., & Stura, I.. (2016). RBF kernel method and its applications to clinical data. Dolomites Research Notes on Approximation, 9(Special_Issue), 13-18. presented at the 09/2016. doi:10.14658/pupj-drna-2016-Special_Issue-3
PDF icon PerracchioneStura_KMFA2016.pdf (183.88 KB)
Perracchione, E. (2020). RBF-based tensor decomposition with applications to oenology. Dolomites Research Notes on Approximation. presented at the 05/2020, Padova, IT: Padova University Press. doi:10.14658/PUPJ-DRNA-2020-1-5
PDF icon Perracchione_2020_RBF.pdf (311.54 KB)