Biblio Index

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Author Title Type [ Year(Asc)]
Filters: Author is Donatella Occorsio  [Clear All Filters]
2022
Mezzanotte, D., & Occorsio, D.. (2022). Compounded Product Integration rules on (0, +∞). Dolomites Research Notes on Approximation, 15(3), 78-92. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-8
PDF icon 08_mezzanotte.pdf (299.77 KB)
Occorsio, D., Russo, M. G., & Themistoclakis, W.. (2022). Filtered integration rules for finite weighted Hilbert transforms II. Dolomites Research Notes on Approximation, 15(3), 93-104. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-9
PDF icon 09_occorsio.pdf (273.2 KB)
2021
Fermo, L., & Occorsio, D.. (2021). A projection method with smoothing transformation for second kind Volterra integral equations. Dolomites Research Notes on Approximation, 14(1), 12-26. presented at the 01/2021. doi:10.14658/pupj-drna-2021-1-2
PDF icon FermoOccorsio_2021_PST.pdf (326.56 KB)
Occorsio, D., & Themistoclakis, W.. (2021). Some remarks on filtered polynomial interpolation at Chebyshev nodes. Dolomites Research Notes on Approximation, 14(2), 68-84. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-9
PDF icon OccorsioWoulaMATA2020.pdf (207.38 KB)
2020
Diogo, T., Lima, P., & Occorsio, D.. (2020). A numerical method for finite-part integrals. Dolomites Research Notes on Approximation, 13(1), 1-11. presented at the 01/2020. doi:10.14658/PUPJ-DRNA-2020-1-1
PDF icon DiogoLimaOccorsio_2020_FPI.pdf (175.54 KB)
2017
De Bonis, M. C., & Occorsio, D.. (2017). Numerical methods for hypersingular integrals on the real line. Dolomites Research Notes on Approximation, 10(Special_Issue), 97-117. presented at the 06/2017. doi:10.14658/pupj-drna-2017-Special_Issue-11
PDF icon DeBonisOccorsio_DRNA2017.pdf (555.2 KB)
2016
Occorsio, D. (2016). Approximation of a weighted Hilbert transform by using perturbed Laguerre zeros. Dolomites Research Notes on Approximation, 9(Special_Issue), 45-58. presented at the 10/2016. doi:10.14658/pupj-drna-2016-Special_Issue-6
PDF icon Occorsio_KMFA2016.pdf (860.25 KB)