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Lorenzo Tamellini
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2020 – today
- 2024
- [j9]Chiara Piazzola
, Lorenzo Tamellini
:
Algorithm 1040: The Sparse Grids Matlab Kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification. ACM Trans. Math. Softw. 50(1): 7:1-7:22 (2024) - [i16]Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - [i15]Federico Gatti, Andrea Bressan, Alessio Fumagalli, Domenico Gallipoli, Leonardo Maria Lalicata, Simone Pittaluga, Lorenzo Tamellini:
Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards' equation. CoRR abs/2407.07865 (2024) - 2023
- [j8]Chiara Piazzola
, Lorenzo Tamellini
, Riccardo Pellegrini
, Riccardo Broglia
, Andrea Serani
, Matteo Diez
:
Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance. Eng. Comput. 39(3): 2209-2237 (2023) - [i14]Linus Seelinger
, Anne Reinarz, Jean Bénézech
, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl
:
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. CoRR abs/2304.14087 (2023) - [i13]Mihaela Chiappetta, Chiara Piazzola, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio, Massimo Carraturo:
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing. CoRR abs/2311.03823 (2023) - 2022
- [j7]Martin Eigel, Oliver G. Ernst
, Björn Sprungk
, Lorenzo Tamellini:
On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion. SIAM J. Numer. Anal. 60(2): 659-687 (2022) - [i12]Chiara Piazzola, Lorenzo Tamellini:
The Sparse Grids Matlab kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification. CoRR abs/2203.09314 (2022) - [i11]Emily A. Baker, Alessandro Cappato, Sara Todeschini, Lorenzo Tamellini, Giancarlo Sangalli, Alessandro Reali, Sauro Manenti:
Combining the Morris Method and Multiple Error Metrics to Assess Aquifer Characteristics and Recharge in the Lower Ticino Basin, in Italy. CoRR abs/2206.01990 (2022) - [i10]Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio:
Inverse and forward sparse-grids-based uncertainty quantification analysis of laser-based powder bed fusion of metals. CoRR abs/2210.06839 (2022) - [i9]Emily A. Baker, Sauro Manenti, Alessandro Reali, Giancarlo Sangalli, Lorenzo Tamellini, Sara Todeschini:
Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin. CoRR abs/2210.17388 (2022) - [i8]Giuseppe Balduzzi, Francesca Bonizzoni, Lorenzo Tamellini:
Uncertainty quantification in timber-like beams using sparse grids: theory and examples with off-the-shelf software utilization. CoRR abs/2211.04735 (2022) - 2021
- [i7]Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez:
Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance. CoRR abs/2106.00591 (2021) - 2020
- [j6]Simone Brugiapaglia
, Lorenzo Tamellini
, Mattia Tani
:
Compressive isogeometric analysis. Comput. Math. Appl. 80(12): 3137-3155 (2020) - [i6]Simone Brugiapaglia, Lorenzo Tamellini, Mattia Tani:
Compressive Isogeometric Analysis. CoRR abs/2003.06475 (2020) - [i5]Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez:
Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison. CoRR abs/2005.07405 (2020) - [i4]Martin Eigel, Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion. CoRR abs/2008.07186 (2020) - [i3]Riccardo Broglia, Matteo Diez, Lorenzo Tamellini:
Computational Approaches for Uncertainty Quantification of Naval Engineering Problems. ERCIM News 2020(123) (2020)
2010 – 2019
- 2019
- [i2]Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini:
On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. CoRR abs/1906.01252 (2019) - [i1]Christian Altenhofen, Marco Attene, Oliver J. D. Barrowclough
, Michele Chiumenti, Marco Livesu, Federico Marini, Massimiliano Martinelli, Vibeke Skytt, Lorenzo Tamellini:
Parametric shape optimization for combined additive-subtractive manufacturing. CoRR abs/1907.01370 (2019) - 2018
- [j5]Oliver G. Ernst
, Björn Sprungk
, Lorenzo Tamellini
:
Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs). SIAM J. Numer. Anal. 56(2): 877-905 (2018) - 2016
- [j4]Abdul-Lateef Haji-Ali
, Fabio Nobile
, Lorenzo Tamellini
, Raúl Tempone
:
Multi-index Stochastic Collocation Convergence Rates for Random PDEs with Parametric Regularity. Found. Comput. Math. 16(6): 1555-1605 (2016) - [j3]Fabio Nobile
, Lorenzo Tamellini
, Raúl Tempone
:
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs. Numerische Mathematik 134(2): 343-388 (2016) - 2014
- [j2]Joakim Beck
, Fabio Nobile
, Lorenzo Tamellini
, Raúl Tempone
:
Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients. Comput. Math. Appl. 67(4): 732-751 (2014) - [j1]Lorenzo Tamellini
, Olivier P. Le Maître
, Anthony Nouy:
Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations. SIAM J. Sci. Comput. 36(3) (2014)
Coauthor Index
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