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ORCIDGiovanni Migliorati
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2020 – today
- 2023
[j9]Albert Cohen, Giovanni Migliorati:
Near-optimal approximation methods for elliptic PDEs with lognormal coefficients. Math. Comput. 92(342): 1665-1691 (2023)- 2022
- [j8]Giovanni Migliorati, Fabio Nobile
:
Stable high-order randomized cubature formulae in arbitrary dimension. J. Approx. Theory 275: 105706 (2022) - 2021
- [j7]Frances Y. Kuo, Giovanni Migliorati, Fabio Nobile, Dirk Nuyens:
Function integration, reconstruction and approximation using rank-1 lattices. Math. Comput. 90(330): 1861-1897 (2021) - [i3]Albert Cohen, Giovanni Migliorati:
Near-optimal approximation methods for elliptic PDEs with lognormal coefficients. CoRR abs/2103.13935 (2021)
2010 – 2019
- 2019
- [j6]Giovanni Migliorati:
Adaptive Approximation by Optimal Weighted Least-Squares Methods. SIAM J. Numer. Anal. 57(5): 2217-2245 (2019) - [i2]Giovanni Migliorati:
Multivariate approximation of functions on irregular domains by weighted least-squares methods. CoRR abs/1907.12304 (2019) - [i1]Frances Y. Kuo, Giovanni Migliorati, Fabio Nobile, Dirk Nuyens:
Function integration, reconstruction and approximation using rank-1 lattices. CoRR abs/1908.01178 (2019) - 2015
- [j5]Giovanni Migliorati:
Multivariate Markov-type and Nikolskii-type inequalities for polynomials associated with downward closed multi-index sets. J. Approx. Theory 189: 137-159 (2015) - [j4]Giovanni Migliorati, Fabio Nobile:
Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets. J. Complex. 31(4): 517-542 (2015) - [j3]Giovanni Migliorati, Fabio Nobile, Raúl Tempone:
Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points. J. Multivar. Anal. 142: 167-182 (2015) - [c2]Giovanni Migliorati:
Learning with Discrete Least Squares on Multivariate Polynomial Spaces Using Evaluations at Random or Low-Discrepancy Point Sets. MOD 2015: 1-13 - 2014
- [j2]Giovanni Migliorati, Fabio Nobile, Erik von Schwerin, Raúl Tempone:
Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations. Found. Comput. Math. 14(3): 419-456 (2014) - 2013
- [j1]Giovanni Migliorati, Fabio Nobile, Erik von Schwerin, Raúl Tempone:
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete L2 Projection on Polynomial Spaces. SIAM J. Sci. Comput. 35(3) (2013) - [c1]Giovanni Migliorati:
Adaptive Polynomial Approximation by Means of Random Discrete Least Squares. ENUMATH 2013: 547-554
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