Biblio Index

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Filters: Author is Filomena Di Tommaso [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

Dell'Accio, F., Di Tommaso, F., Francomano, E., & Nudo, F.. (2022). An adaptive algorithm for determining the optimal degree of regression in constrained mock-Chebyshev least squares quadrature. Dolomites Research Notes on Approximation, 15(4), 35-44. presented at the 12/2022. doi:10.14658/pupj-drna-2022-4-4

04_60thDM.pdf (436.52 KB)

Conti, C., Cotronei, M., Dell’Accio, F., De Rossi, A., Di Tommaso, F., & Puccio, L.. (2023). ATMA2021 - Approximation: Theory, Methods, and Applications. Dolomites Research Notes on Approximation, 15(5), i-ii. presented at the 01/2023. Retrieved from https://drna.padovauniversitypress.it/2022/5/0

ATMA2021_PREFACE.pdf (1.17 MB)

D

Dell'Accio, F., Di Tommaso, F., Siar, N., & Vianello, M.. (2022). DISC: an adaptive numerical Differentiator by local polynomial Interpolation on multivariate SCattered data. Dolomites Research Notes on Approximation, 15(2), 81-91. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-7

07_DRNA_SA2022.pdf (2.17 MB)

R

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

DellAccioDiTommaso_2019_RCM.pdf (92.2 KB)

S

Dell'Accio, F., & Di Tommaso, F.. (2016). Scattered data interpolation by Shepard’s like methods: classical results and recent advances. Dolomites Research Notes on Approximation, 9(Special_Issue), 32-44. presented at the 10/2016. doi:10.14658/pupj-drna-2016-Special_Issue-5

DellAccioDiTommaso_KMFA2016.pdf (422.2 KB)