Biblio Index

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Author Title Type [ Year(Desc)]
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2018
Pritsker, I. E. (2018). Zeros of lacunary random polynomials. Dolomites Research Notes on Approximation, 11(4), 73-78. presented at the 11/2018. doi:10.14658/pupj-drna-2018-4-7
PDF icon Pritsker_DRNA2018.pdf (190.23 KB)
2019
Phung, V. M., Phan, T. T., & Mai, H. A.. (2019). On generalized least square approximation. Dolomites Research Notes on Approximation, 12(1), 101-110. presented at the 11/2019. doi:10.14658/pupj-drna-2019-1-10
PDF icon PhungPhanMai_2019_GLS.pdf (258.99 KB)
Phung, V. M., Phan, T. T., & Mai, H. A.. (2019). On generalized least square approximation. Dolomites Research Notes on Approximation, 12(1), 101-110. presented at the 11/2019. doi:10.14658/pupj-drna-2019-1-10
PDF icon PhungPhanMai_2019_GLS.pdf (258.99 KB)
Aminian Shahrokhabadi, M., Neisy, A., Perracchione, E., & Polato, M.. (2019). Learning with subsampled kernel-based methods: Environmental and financial applications. Dolomites Research Notes on Approximation, 12(1), 17-27. presented at the 04/2019. doi:10.14658/pupj-drna-2019-1-3
PDF icon Shahrokhabadietal_2019_LSK.pdf (1.58 MB)
Aminian Shahrokhabadi, M., Neisy, A., Perracchione, E., & Polato, M.. (2019). Learning with subsampled kernel-based methods: Environmental and financial applications. Dolomites Research Notes on Approximation, 12(1), 17-27. presented at the 04/2019. doi:10.14658/pupj-drna-2019-1-3
PDF icon Shahrokhabadietal_2019_LSK.pdf (1.58 MB)
2020
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)
2021
Plesniak, W. (2021). My joint research with Mirosław Baran. Dolomites Research Notes on Approximation, 14(3), 1-6. presented at the 12/2021. doi:10.14658/pupj-drna-2021-3-1
PDF icon Plesniak_MB_2021.pdf (1.03 MB)
De Marchi, S., Elefante, G., Perracchione, E., & Poggiali, D.. (2021). Quadrature at fake nodes. Dolomites Research Notes on Approximation, 14(2), 39-45. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-6
PDF icon DeMarchietalMATA2020.pdf (237.78 KB)
De Marchi, S., Elefante, G., Perracchione, E., & Poggiali, D.. (2021). Quadrature at fake nodes. Dolomites Research Notes on Approximation, 14(2), 39-45. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-6
PDF icon DeMarchietalMATA2020.pdf (237.78 KB)
2022
PDF icon 01_introduction.pdf (184.42 KB)
Panarese, P. (2022). Approximation Techniques with MATLAB®. Dolomites Research Notes on Approximation, 15(2), 109-140. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-10
PDF icon 10_DRNA_SA2022.pdf (3.64 MB)
Perlo, A., & Venturin, E.. (2022). Approximation tools for detecting unforeseen sudden events. Dolomites Research Notes on Approximation, 15(3), 117-124. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-11
PDF icon 11_perlo.pdf (1.25 MB)
Cavoretto, R., De Rossi, A., Lancellotti, S., & Perracchione, E.. (2022). Software Implementation of the Partition of Unity Method. Dolomites Research Notes on Approximation, 15(2), 35-46. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-4
PDF icon 04_DRNA_SA2022.pdf (655.36 KB)
Conte, D., Pagano, G., & Paternoster, B.. (2022). Two classes of linearly implicit numerical methods for stiff problems: analysis and MATLAB software. Dolomites Research Notes on Approximation, 15(2), 66-80. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-6
PDF icon 06_DRNA_SA2022.pdf (470.3 KB)
Conte, D., Pagano, G., & Paternoster, B.. (2022). Two classes of linearly implicit numerical methods for stiff problems: analysis and MATLAB software. Dolomites Research Notes on Approximation, 15(2), 66-80. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-6
PDF icon 06_DRNA_SA2022.pdf (470.3 KB)

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