Biblio Index

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2022
PDF icon 01_introduction.pdf (184.42 KB)
PDF icon 01_introduction.pdf (184.42 KB)
Elefante, G., Sommariva, A., & Vianello, M.. (2022). CQMC: an improved code for low-dimensional Compressed Quasi-MonteCarlo cubature. Dolomites Research Notes on Approximation, 15(2), 92-100. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-8
PDF icon 08_DRNA_SA2022.pdf (541.49 KB)
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
PDF icon 07_DRNA_SA2022.pdf (2.17 MB)
Bulai, I. Martina, De Bonis, M. C., Laurita, C., & Sagaria, V.. (2022). MatLab Toolbox for the numerical solution of linear Volterra integral equations arising in metastatic tumor growth models. Dolomites Research Notes on Approximation, 15(2), 13-24. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-2
PDF icon 02_DRNA_SA2022.pdf (558.4 KB)
Smirnov, A., Hamzi, B., & Owhadi, H.. (2022). Mean-field limits of trained weights in deep learning: A dynamical systems perspective. Dolomites Research Notes on Approximation, 15(3), 125-145. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-12
PDF icon 12_smirnov.pdf (1.62 MB)
De Bonis, M. C., & Sagaria, V.. (2022). Numerical method for hypersingular integrals of highly oscillatory functions on the positive semiaxis. Dolomites Research Notes on Approximation, 15(3), 49-64. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-6
PDF icon 06_debonis.pdf (439.81 KB)
Cuomo, S., DeRossi, A., Rizzo, L., & Sica, F.. (2022). Reconstruction of volatility surfaces: a first computational study. Dolomites Research Notes on Approximation, 15(3), 37-48. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-5
PDF icon 05_cuomo.pdf (1.98 MB)
Chen, M., Ling, L., & Su, Y.. (2022). Solving interpolation problems on surfaces stochastically and greedily. Dolomites Research Notes on Approximation, 15(3), 26-36. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-4
PDF icon 04_chen.pdf (1.3 MB)
2021
Sommariva, A., & Vianello, M.. (2021). Computing Tchakaloff-like cubature rules on spline curvilinear polygons. Dolomites Research Notes on Approximation, 14(1), 1-11. presented at the 01/2021. doi:10.14658/pupj-drna-2021-1-1
PDF icon SommarivaVianello_2021_CTC.pdf (1.04 MB)
Chatzakou, M., & Sarantopoulos, Y.. (2021). Estimates for polynomial norms on Banach spaces. Dolomites Research Notes on Approximation, 14(3), 40-52. presented at the 12/2021. doi:10.14658/pupj-drna-2021-3-5
PDF icon Chatzakou_Sarantopoulos_MB_2021.pdf.pdf (338.29 KB)
Merrien, J. - L., & Sauer, T.. (2021). Extra Regularity of Hermite Subdivision Schemes. Dolomites Research Notes on Approximation, 14(2), 85-94. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-10
PDF icon SauerMerrienMATA2020.pdf (307.08 KB)
Stawiska, M. (2021). An extremal subharmonic function in non-archimedean potential theory. Dolomites Research Notes on Approximation, 14(3), 74-82. presented at the 12/2021. doi:10.14658/pupj-drna-2021-3-9
PDF icon Stawiska_MB_2021.pdf (333.01 KB)
Bos, L., De Marchi, S., & Sommariva, A.. (2021). On "marcov" inequalities. Dolomites Research Notes on Approximation, 14(1), 92-100. presented at the 10-2021. doi:10.14658/pupj-drna-2021-1-8
PDF icon birthdayMarco60.pdf (1.24 MB)
Fermo, L., Russo, M. G., & Serafini, G.. (2021). A numerical method for the generalized Love integral equation in 2D. Dolomites Research Notes on Approximation, 14(2), 46-57. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-7
PDF icon FermoetalMATA2020.pdf (192.3 KB)
2020
Larsson, E., & Sundin, U.. (2020). An investigation of global radial basis function collocation methods applied to Helmholtz problems. Dolomites Research Notes on Approximation, 13(1), 65-85. presented at the 12/2020. doi:10.14658/PUPJ-DRNA-2020-1-8
PDF icon LarssonSundin_2020_IGR.pdf (974.09 KB)
2019
Chatzakou, M., & Sarantopoulos, Y.. (2019). Bernstein and Markov-type inequalities for polynomials on Lp(μ) spaces. Dolomites Research Notes on Approximation, 12(Special_Issue), 16-28. presented at the 10/2019. doi:10.14658/pupj-drna-2019-Special_Issue-4
PDF icon AKroo_ChatzakouSarantopoulos.pdf (210.27 KB)
Szabados, J. (2019). Lebesgue constants and convergence of barycentric rational interpolation on arbitrary nodes. Dolomites Research Notes on Approximation, 12(Special_Issue), 38-46. presented at the 10/2019. doi:10.14658/pupj-drna-2019-Special_Issue-6
PDF icon AKroo_Szabados.pdf (128.82 KB)
Sommer, M. (2019). Property A and best L1-Approximation. Dolomites Research Notes on Approximation, 12(Special_Issue), 29-37. presented at the 10/2019. doi:10.14658/pupj-drna-2019-Special_Issue-5
PDF icon AKroo_Sommer.pdf (428.25 KB)
Safdari-Vaighani, A. (2019). Truncation of computational domains as an error control strategy for approximating option pricing involving PIDEs. Dolomites Research Notes on Approximation, 12(1), 68-72. presented at the 07/2019. doi:10.14658/pupj-drna-2019-1-7
PDF icon Safdari-Vaighani_2019_TCD.pdf (217.53 KB)
2018
Danek, T., Noseworthy, A., & Slawinski, M. A.. (2018). Effects of norms on general Hookean solids for their isotropic counterparts. Dolomites Research Notes on Approximation, 11(1), 15-28. presented at the 03/2018. doi:10.14658/pupj-drna-2018-1-3
PDF icon DanekNoseworthySlawinski_2018_NGH.pdf (6.19 MB)
Wittwar, D., Santin, G., & Haasdonk, B.. (2018). Interpolation with uncoupled separable matrix-valued kernels. Dolomites Research Notes on Approximation, 11(3), 23-39. presented at the 11/2018. doi:10.14658/pupj-drna-2018-3-4
PDF icon Wittwaretal_DRNA2018.pdf (341.66 KB)
2017
Piazzon, F., Sommariva, A., & Vianello, M.. (2017). Caratheodory-Tchakaloff Subsampling. Dolomites Research Notes on Approximation, 10(1), 5-14. presented at the 04/2017. doi:10.14658/pupj-drna-2017-1-2
PDF icon PiazzonSommarivaVianello_2017_CTS.pdf (1.02 MB)
Santin, G., & Haasdonk, B.. (2017). Convergence rate of the data-independent P-greedy algorithm in kernel-based approximation. Dolomites Research Notes on Approximation, 10(Special_Issue), 68-78. presented at the 06/2017. doi:10.14658/pupj-drna-2017-Special_Issue-9
PDF icon SantinHaasdonk_DRNA2017.pdf (525.07 KB)
Storath, M., & Weinmann, A.. (2017). Edge preserving and noise reducing reconstruction for magnetic particle imaging. Dolomites Research Notes on Approximation, 10(Special_Issue).
PDF icon DRNA2017_Weinman_EPN.pdf (1.27 MB)

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