Biblio Index

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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)
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)
Bruno, L. Bruni, Rodríguez, A. Alonso, & Rapetti, F.. (2022). Computing weights for high order Whitney edge elements. Dolomites Research Notes on Approximation, 15(2), 1-12. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-1
PDF icon 01_DRNA_SA2022.pdf (279.17 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)
Karvonen, T. (2022). Error Bounds and the Asymptotic Setting in Kernel-Based Approximation. Dolomites Research Notes on Approximation, 15(3), 65-77. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-7
PDF icon 07_karvonen.pdf (421.63 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)
Cavoretto, R., De Rossi, A., & Erb, W.. (2022). GBFPUM - A MATLAB Package for Partition of Unity Based Signal Interpolation and Approximation on Graphs. Dolomites Research Notes on Approximation, 15(2), 25-34. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-3
PDF icon 03_DRNA_SA2022.pdf (5.05 MB)
Albrecht, G., Beccari, C. V., & Romani, L.. (2022). Interpolating sequences of 3D-data with C^2 quintic PH B-spline curves. Dolomites Research Notes on Approximation, 15(3), 1-11. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-2
PDF icon 02_albrecht.pdf (1.52 MB)
Conte, D., & Frasca-Caccia, G.. (2022). A MATLAB code for the computational solution of a phase field model for pitting corrosion. Dolomites Research Notes on Approximation, 15(2), 47-65. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-5
PDF icon 05_DRNA_SA2022.pdf (583.5 KB)
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)
Cesarano, C., Ramírez, W., & Khan, S.. (2022). A new class of degenerate Apostol-type Hermite polynomials and applications. Dolomites Research Notes on Approximation. presented at the 04/2022, Padova, IT: Padova University Press. doi:10.14658/pupj-drna-2022-1-1
PDF icon CesaranoRamirezKhan_2022_DAH.pdf (225.93 KB)
Çetin, N., Costarelli, D., Natale, M., & Vinti, G.. (2022). Nonlinear multivariate sampling Kantorovich operators: quantitative estimates in functional spaces. Dolomites Research Notes on Approximation, 15(3), 12-25. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-3
PDF icon 03_cetin.pdf (279.75 KB)
Marchetti, F. (2022). A note on the usage of the pinv MATLAB function. Dolomites Research Notes on Approximation, 15(2), 101-108. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-9
PDF icon 09_DRNA_SA2022.pdf (471.78 KB)
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)
Caratelli, D., & Ricci, P. E.. (2022). On a set of sine and cosine Fourier transforms of nested functions. Dolomites Research Notes on Approximation, 15(1), 11-19. presented at the 11/2022. doi:10.14658/pupj-drna-2022-1-2
PDF icon CaratelliRicci_2022_FTNF.pdf (11.18 MB)
Cavoretto, R., & De Rossi, A.. (2022). Software for Approximation 2022 (SA2022). Dolomites Research Notes on Approximation, 15(2), I-II. presented at the 10/2022. doi:10.14658/pupj-drna-2022-2-0
PDF icon 00_DRNA_SA2022.pdf (972.15 KB)
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)
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)
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)
Okayama, T., & Tanaka, K. ’ichiro. (2022). Yet another DE-Sinc indefinite integration formula. Dolomites Research Notes on Approximation, 15(3), 105-116. presented at the 10/2022. doi:10.14658/pupj-drna-2022-3-10
PDF icon 10_okayama.pdf (321.99 KB)

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