Biblio Index

Export 235 results:
Author Title Type [ Year(Desc)]
2021
Heidari, M., Mohammadi, M., & De Marchi, S.. (2021). A shape preserving quasi-interpolation operator based on a new transcendental RBF. Dolomites Research Notes on Approximation. presented at the 08/2021, Padova, IT: Padova University Press. doi:10.14658/pupj-drna-2021-1-6
PDF icon HeidariMohammadiDeMarchi_2021_SPQ.pdf (993.59 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)
Candito, P., D’Aguì, G., & Livrea, R.. (2021). Two positive solutions for a nonlinear parameter-depending algebraic system. Dolomites Research Notes on Approximation, 14(2), 10-17. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-3
PDF icon CanditoDaguiLivreaMATA2020.pdf (144.55 KB)
Karsli, H. (2021). On Urysohn type Generalized Sampling Operators. Dolomites Research Notes on Approximation, 14(2), 58-67. presented at the 04/2021. doi:10.14658/pupj-drna-2021-2-8
PDF icon KarsliMATA2020.pdf (287.67 KB)
2022
PDF icon 01_introduction.pdf (184.42 KB)
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
PDF icon 04_60thDM.pdf (436.52 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)
Bloom, T., & Levenberg, N.. (2022). Asymptotic Approximate Fekete Arrays. Dolomites Research Notes on Approximation, 15(4), 10-19. presented at the 12/2022. doi:10.14658/pupj-drna-2022-4-2
PDF icon 02_60thDM.pdf (198.62 KB)
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)
De Marchi, S., Egidi, N., Giacomini, J., Maponi, P., & Perticarini, A.. (2022). Computational issues by interpolating with inverse multiquadrics: a solution. Dolomites Research Notes on Approximation, 15(5), 56-64. presented at the 12/2022. doi:10.14658/pupj-drna-2022-5-6
PDF icon DEMARCHI_et_al.pdf (254.21 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)
Sommariva, A., & Vianello, M.. (2022). Cubature rules with positive weights on union of disks. Dolomites Research Notes on Approximation, 15(4), 73-81. presented at the 12/2022. doi:10.14658/pupj-drna-2022-4-7
PDF icon 07_60thDM.pdf (719.43 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)
Mejstrik, T. (2022). The finiteness conjecture for 3 × 3 binary matrices. Dolomites Research Notes on Approximation, 15(5), 24-38. presented at the 12/2022. doi:10.14658/pupj-drna-2022-5-3
PDF icon MEJSTRIK.pdf (458.84 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)
Elefante, G., Erb, W., Marchetti, F., Perracchione, E., Poggiali, D., & Santin, G.. (2022). Interpolation with the polynomial kernels. Dolomites Research Notes on Approximation, 15(4), 45-60. presented at the 12/2022. doi:10.14658/pupj-drna-2022-4-5
PDF icon 05_60thDM.pdf (558.9 KB)
Campiti, M. (2022). Korovkin-type approximation of set-valued functions with convex graphs. Dolomites Research Notes on Approximation, 15(5), 51-55. presented at the 12/2022. doi:10.14658/pupj-drna-2022-5-5
PDF icon CAMPITI.pdf (227.12 KB)
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)

Pages