Lorenzo Tamellini

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Function Approximation

Partial Differential Equations

Ambrosio Tortorelli

Engineering Problems

Top Venues

SIAM J. Numer. Anal.

Comput. Math. Appl.

Publications

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 (2024)
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 (2024)
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) (2024)
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 (2023)
Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. CoRR (2023)
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) (2023)
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 (2022)
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) (2022)
Chiara Piazzola, Lorenzo Tamellini
The Sparse Grids Matlab kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification. CoRR (2022)
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 (2022)
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 (2022)
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 (2021)
Simone Brugiapaglia, Lorenzo Tamellini, Mattia Tani
Compressive isogeometric analysis. Comput. Math. Appl. 80 (12) (2020)
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 (2020)
Riccardo Broglia, Matteo Diez, Lorenzo Tamellini
Computational Approaches for Uncertainty Quantification of Naval Engineering Problems. ERCIM News 2020 (123) (2020)
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 (2020)
Simone Brugiapaglia, Lorenzo Tamellini, Mattia Tani
Compressive Isogeometric Analysis. CoRR (2020)
Oliver G. Ernst, Björn Sprungk, Lorenzo Tamellini
On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. CoRR (2019)
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 (2019)
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) (2018)
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) (2016)
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) (2016)
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)
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) (2014)