Publications @ CSQI

Only Fabio Nobile’s Publications

2024

Network-based kinetic models: Emergence of a statistical description of the graph topology

M. Nurisso; M. Raviola; A. Tosin 

European Journal Of Applied Mathematics. 2024-02-02. DOI : 10.1017/S0956792524000020.

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit

G. A. Pavliotis; A. Zanoni 

Siam-Asa Journal On Uncertainty Quantification. 2024-01-01. Vol. 12, num. 2, p. 262-288. DOI : 10.1137/22M153848X.

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

F. Nobile; T. S. S. Trigo Trindade 

2024. 

2023

Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method

S. S. Ganesh; F. Nobile 

Journal of Computational Physics. 2023-12-15. Vol. 495, num. 112523. DOI : 10.1016/j.jcp.2023.112523.

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Y. Kazashi; F. Nobile; F. Zoccolan 

2023-08-23.  p. 32. DOI : 10.48550/arXiv.2308.11581.

A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor

D. Goutaudier; F. Nobile; J. Schiffmann 

International Journal For Numerical Methods In Engineering. 2023-06-09. DOI : 10.1002/nme.7305.

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

 

2023-03-09. 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Linz, Austria, July 17-21, 2022. DOI : 10.48550/arXiv.2303.05390.

A multigrid method for PDE-constrained optimization with uncertain inputs

G. Ciaramella; F. Nobile; T. Vanzan 

2023-02-27. 

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

A. Zanoni 

Ima Journal Of Applied Mathematics. 2023-02-16. Vol. 88, num. 1, p. 67-101. DOI : 10.1093/imamat/hxad003.

Density estimation in RKHS with application to Korobov spaces in high dimensions

Y. Kazashi; F. Nobile 

Siam Journal On Numerical Analysis. 2023-01-01. Vol. 61, num. 2, p. 1080-1102. DOI : 10.1137/22M147476X.

Robust optimization of control parameters for WEC arrays using stochastic methods

M. Gambarini; G. Ciaramella; E. Miglio; T. Vanzan; T. Vanzan 

Journal Of Computational Physics. 2023. Vol. 493, p. 112478.

Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings

J. P. Madrigal Cianci; F. Nobile; R. Tempone 

SIAM/ASA Journal on Uncertainty Quantification. 2023. Vol. 11, num. 1, p. 91-138. DOI : 10.1137/21M1420927.

Preconditioners for robust optimal control problems under uncertainty

F. Nobile; T. Vanzan 

Numerical Linear Algebra with Applications. 2023. Vol. 30, num. 2, p. e2472. DOI : 10.1002/nla.2472.

Quantifying uncertain system outputs via the multi-level Monte Carlo method — distribution and robustness measures

Q. Ayoul-Guilmard; S. S. Ganesh; S. Krumscheid; F. Nobile 

International Journal for Uncertainty Quantification. 2023. Vol. 13, num. 5, p. 61-98. DOI : 10.1615/Int.J.UncertaintyQuantification.2023045259.

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton’s method

F. Chaouqui; M. J. Gander; P. M. Kumbhar; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 381–389. DOI : 10.1007/978-3-030-95025-5_40.

A numerical algorithm based on probing to find optimized transmission conditions

M. J. Gander; R. Masson; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 597–605. DOI : 10.1007/978-3-030-95025-5_65.

On the asymptotic optimality of spectral coarse spaces

G. Ciaramella; T. Vanzan 

2023. 26th International Domain Decomposition Conference (DD26), [Online edition] Honk Kong, China, December 7 – 12, 2020. p. 187–195. DOI : 10.1007/978-3-030-95025-5_18.

2022

A combination technique for optimal control problems constrained by random PDEs

F. Nobile; T. Vanzan 

2022-11-01

Linear and nonlinear substructured Restricted Additive Schwarz iterations and preconditioning

F. Chaouqui; M. J. Gander; P. M. Kumbhar; T. Vanzan 

Numerical Algorithms. 2022-04-22. Vol. 91, p. 81–107. DOI : 10.1007/s11075-022-01255-5.

Spectral Coarse Spaces for the Substructured Parallel Schwarz Method

G. Ciaramella; T. Vanzan 

Journal of Scientific Computing. 2022-04-16. Vol. 91, p. 69. DOI : 10.1007/s10915-022-01840-9.

Substructured Two-grid and Multi-grid Domain Decomposition Methods

G. Ciaramella; T. Vanzan 

Numerical Algorithms. 2022-03-13. Vol. 91, p. 413–448. DOI : 10.1007/s11075-022-01268-0.

Stable high-order randomized cubature formulae in arbitrary dimension

G. Migliorati; F. Nobile 

Journal of Approximation Theory. 2022-03-01. Vol. 275, p. 105706. DOI : 10.1016/j.jat.2022.105706.

A technique for non-intrusive greedy piecewise-rational model reduction of frequency response problems over wide frequency bands

D. Pradovera; F. Nobile 

Journal of Mathematics in Industry. 2022-01-03. Vol. 12, num. 2. DOI : 10.1186/s13362-021-00117-4.

Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit

G. A. Pavliotis; A. Zanoni 

Siam Journal On Applied Dynamical Systems. 2022-01-01. Vol. 21, num. 4, p. 2338-2370. DOI : 10.1137/21M1464348.

Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation

M. J. Grote; S. Michel; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2022. Vol. 10, num. 4, p. 1601-1628. DOI : 10.1137/21M1429047.

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

A. Zanoni / F. Nobile; G. A. Pavliotis (Dir.)  

Lausanne, EPFL, 2022. 

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

S. S. Ganesh / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

E. Vidlicková / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

J. P. Madrigal Cianci / F. Nobile (Dir.)  

Lausanne, EPFL, 2022. 

Tensor-Based Numerical Method For Stochastic Homogenization

Q. Ayoul-guilmard; A. Nouy; C. Binetruy 

Multiscale Modeling & Simulation. 2022-01-01. Vol. 20, num. 1, p. 36-71. DOI : 10.1137/18M1191221.

Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification

V. Kaarnioja; Y. Kazashi; F. Y. Kuo; F. Nobile; I. H. Sloan 

Numerische Mathematik. 2022. Vol. 150, p. 33–77. DOI : 10.1007/s00211-021-01242-3.

Some first results on the consistency of spatial regression with partial differential equation regularization

E. Arnone; A. Kneip; F. Nobile; L. M. Sangalli 

Statistica Sinica. 2022. Vol. 32, num. 1, p. 209-238. DOI : 10.5705/ss.202019.0346.

2021

Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations

Y. Kazashi; F. Nobile; E. Vidlickova 

Numerische Mathematik. 2021-11-17. Vol. 149, num. 4, p. 973-1024. DOI : 10.1007/s00211-021-01241-4.

Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

F. Nobile; D. Pradovera 

ESAIM: Mathematical Modelling and Numerical Analysis. 2021-09-17. Vol. 55, num. 5, p. 1895-1920. DOI : 10.1051/m2an/2021040.

Generalized parallel tempering on Bayesian inverse problems

J. Latz; J. P. Madrigal-Cianci; F. Nobile; R. Tempone 

Statistics And Computing. 2021-09-01. Vol. 31, num. 5, p. 67. DOI : 10.1007/s11222-021-10042-6.

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

M. Martin; S. Krumscheid; F. Nobile 

ESAIM: Mathematical Modelling and Numerical Analysis. 2021-08-03. Vol. 55, num. 4, p. 1599-1633. DOI : 10.1051/m2an/2021025.

Function Integration, Reconstruction And Approximation Using Rank-1 Lattices

F. Y. Kuo; G. Migliorati; F. Nobile; D. Nuyens 

Mathematics Of Computation. 2021-07-01. Vol. 90, num. 330, p. 1861-1897. DOI : 10.1090/mcom/3595.

A hybrid collocation-perturbation approach for PDEs with random domains

J. E. Castrillon-Candas; F. Nobile; R. F. Tempone 

Advances In Computational Mathematics. 2021-06-01. Vol. 47, num. 3, p. 40. DOI : 10.1007/s10444-021-09859-6.

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling

F. Bonizzoni; D. Pradovera 

2021-03-11. 14th WCCM-ECCOMAS Congress, Virtual Congress, January 11-15, 2021. DOI : 10.23967/wccm-eccomas.2020.300.

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Approximation of the Heat Equation with Random Coefficients

F. Nobile; E. Vidlicková 

2021. Sparse Grids and Applications, Munich, 2018. DOI : 10.1007/978-3-030-81362-8_6.

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

D. Pradovera; F. Nobile 

2021-01-01. 13th International Conference on Scientific Computing in Electrical Engineering (SCEE), Eindhoven, NETHERLANDS, Feb 16-20, 2020. p. 159-167. DOI : 10.1007/978-3-030-84238-3_16.

Rational-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots

F. Bonizzoni; D. Pradovera; M. Ruggeri 

2021

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

D. Pradovera / F. Nobile (Dir.)  

Lausanne, EPFL, 2021. 

Multilevel ensemble Kalman filtering for spatio-temporal processes

A. Chernov; H. Hoel; K. J. H. Law; F. Nobile; R. Tempone 

Numerische Mathematik. 2021. Vol. 147, num. 1, p. 71-125. DOI : 10.1007/s00211-020-01159-3.

Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval

Y. Kazashi; F. Nobile 

Stochastics And Partial Differential Equations-Analysis And Computations. 2021. Vol. 9, p. 603–629. DOI : 10.1007/s40072-020-00177-4.

Wavelet-Fourier CORSING techniques for multidimensional advection-diffusion-reaction equations

S. Brugiapaglia; S. Micheletti; F. Nobile; S. Perotto 

IMA Journal of Numerical Analysis. 2021. Vol. 41, p. 2744 – 2781. DOI : 10.1093/imanum/draa036.

PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA

M. C. Martin; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2021. Vol. 9, num. 3, p. 979-1012. DOI : 10.1137/18M1224076.

2020

Integration of activation maps of epicardial veins in computational cardiac electrophysiology

S. Stella; C. Vergara; M. Maines; D. Catanzariti; P. C. Africa et al. 

Computers In Biology And Medicine. 2020-12-01. Vol. 127, p. 104047. DOI : 10.1016/j.compbiomed.2020.104047.

Interpolatory Rational Model Order Reduction of Parametric Problems Lacking Uniform Inf-Sup Stability

D. Pradovera 

SIAM Journal on Numerical Analysis. 2020-08-12. Vol. 58, num. 4, p. 2265-2293. DOI : 10.1137/19M1269695.

Numerical methods for conservation laws with rough flux

H. Hoel; K. H. Karlsen; N. H. Risebro; E. B. Storrosten 

Stochastics And Partial Differential Equations-Analysis And Computations. 2020-03-01. Vol. 8, num. 1, p. 186-261. DOI : 10.1007/s40072-019-00145-7.

Frequency-domain non-intrusive greedy Model Order Reduction based on minimal rational approximation

D. Pradovera; F. Nobile 

13th International Conference on Scientific Computing in Electrical Engineering, Eindhoven, Netherlands, February 16-20, 2020.

MATHICSE Technical Report : A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters

M. C. Martin; F. Nobile; P. Tsilifis 

2020-01-09

Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem

F. Bonizzoni; F. Nobile 

Computers & Mathematics with Applications. 2020. Vol. 80, num. 12, p. 2925-2947. DOI : 10.1016/j.camwa.2020.10.014.

Sparse Polynomial Chaos expansions using variational relevance vector machines

P. Tsilifis; I. Papaioannou; D. Straub; F. Nobile 

Journal of Computational Physics. 2020. Vol. 416, p. 109498. DOI : 10.1016/j.jcp.2020.109498.

Quantifying uncertain system outputs via the multilevel Monte Carlo method — Part I: Central moment estimation

S. Krumscheid; F. Nobile; M. Pisaroni 

Journal of Computational Physics. 2020. Vol. 414, p. 109466. DOI : 10.1016/j.jcp.2020.109466.

Symplectic dynamical low rank approximation of wave equations with random parameters

E. Musharbash; F. Nobile; E. Vidlicková 

BIT Numerical Mathematics. 2020. Vol. 60, p. 1153-1201. DOI : 10.1007/s10543-020-00811-6.

Multilevel weighted least squares polynomial approximation

A-L. Haji-Ali; F. Nobile; S. Wolfers; R. Tempone 

ESAIM: Mathematical Modelling and Numerical Analysis. 2020. Vol. 54, p. 649-677. DOI : 10.1051/m2an/2019045.

Fast Least-Squares Padé approximation of problems with normal operators and meromorphic structure

F. Bonizzoni; F. Nobile; I. Perugia; D. Pradovera 

Mathematics of Computation. 2020. Vol. 89, num. 323, p. 1229-1257. DOI : 10.1090/mcom/3511.

Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

F. Bonizzoni; F. Nobile; I. Perugia; D. Pradovera 

Advances in Computational Mathematics. 2020. Vol. 46, num. 3, p. 46. DOI : 10.1007/s10444-020-09749-3.

2019

Distributed sampling for rational approximation of the acoustic scattering of an airfoil

F. Bonizzoni; D. Pradovera 

2019-11-18. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria, Feb 18-22, 2019. DOI : 10.1002/pamm.201900422.

Central limit theorems for multilevel Monte Carlo methods

H. Hoel; S. Krumscheid 

Journal Of Complexity. 2019-10-01. Vol. 54, p. 101407. DOI : 10.1016/j.jco.2019.05.001.

Compressive sensing adaptation for polynomial chaos expansions

P. Tsilifis; X. Huan; C. Safta; K. Sargsyan; G. Lacaze et al. 

Journal Of Computational Physics. 2019-03-01. Vol. 380, p. 29-47. DOI : 10.1016/j.jcp.2018.12.010.

Stochastic approximation methods for PDE constrained optimal control problems with uncertain parameters

M. C. Martin / F. Nobile (Dir.)  

Lausanne, EPFL, 2019. 

Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

M. Pisaroni; F. Nobile; P. Leyland 

Journal of Aircraft. 2019. Vol. 56, num. 2, p. 771-786. DOI : 10.2514/1.C035054.

Quantifying uncertainties in contact mechanics of rough surfaces using the multilevel Monte Carlo method

V. Rey; S. Krumscheid; F. Nobile 

International Journal of Engineering Science. 2019. Vol. 138, p. 50-64. DOI : 10.1016/j.ijengsci.2019.02.003.

Modeling spatially dependent functional data via regression with differential regularization

E. Arnone; L. Azzimonti; F. Nobile; L. M. Sangalli 

Journal of Multivariate Analysis. 2019. Vol. 170, p. 175-295. DOI : 10.1016/j.jmva.2018.09.006.

2018

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

P. Tsilifis; R. G. Ghanem 

Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences. 2018-09-01. Vol. 474, num. 2217, p. 20180285. DOI : 10.1098/rspa.2018.0285.

Path-dependent convex conservation laws

H. Hoel; K. Karlsen; N. Risebro; E. Storrosten 

JOURNAL OF DIFFERENTIAL EQUATIONS. 2018. Vol. 265, num. 6, p. 2708-2744. DOI : 10.1016/j.jde.2018.04.045.

Perturbation-based inference for diffusion processes: Obtaining effective models from multiscale data

S. Krumscheid 

Mathematical Models and Methods in Applied Sciences. 2018. Vol. 28, num. 08, p. 1565-1597. DOI : 10.1142/S0218202518500434.

Sparse approximation of multilinear problems with applications to kernel-based methods in UQ

F. Nobile; R. Tempone; S. Wolfers 

Numerische Mathematik. 2018. Vol. 139, num. 1, p. 247-280. DOI : 10.1007/s00211-017-0932-4.

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method

D. S. Guignard; F. Nobile 

SIAM Journal on Numerical Analysis. 2018. Vol. 56, num. 5, p. 3121-3143. DOI : 10.1137/17M1155454.

Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins

I. Colombo; F. Nobile; G. Porta; A. Scotti; L. Tamellini 

Computer Methods in Applied Mechanics and Engineering. 2018. Vol. 328, p. 122-146. DOI : 10.1016/j.cma.2017.08.049.

Multilevel Monte Carlo Approximation of Functions

S. Krumscheid; F. Nobile 

SIAM/ASA Journal on Uncertainty Quantification. 2018. Vol. 6, num. 3, p. 1256-1293. DOI : 10.1137/17M1135566.

Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions

E. Musharbash; F. Nobile 

Journal of Computational Physics. 2018. Vol. 354, p. 135-162. DOI : 10.1016/j.jcp.2017.09.061.

Convergence analysis of Padé approximations for Helmholtz frequency response problems

F. Bonizzoni; F. Nobile; I. Perugia 

ESAIM: Mathematical Modelling and Numerical Analysis. 2018. Vol. 52, num. 4, p. 1261-1284. DOI : 10.1051/m2an/2017050.

A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems

S. Brugiapaglia; F. Nobile; S. Micheletti; S. Perotto 

Mathematics of Computation. 2018. Vol. 87, p. 1-38. DOI : 10.1090/mcom/3209.

2017

MATHICSE Technical Report : Continuation Multi-Level Monte-Carlo method for Uncertainty Quantification in Turbulent Compressible Aerodynamics Problems modeled by RANS

M. Pisaroni; F. Nobile; P. Leyland 

2017-05-11

Multi Level Monte Carlo Methods for Uncertainty Quantification and Robust Design Optimization in Aerodynamics

M. Pisaroni / P. Leyland; F. Nobile (Dir.)  

Lausanne, EPFL, 2017. 

On uncertainty quantification in hydrogeology and hydrogeophysics

N. Linde; D. Ginsbourger; J. Irving; F. Nobile; A. Doucet 

Advances in Water Resources. 2017. Vol. 110, p. 166-181. DOI : 10.1016/j.advwatres.2017.10.014.

Influence of Ablation on Vacuum-Ultraviolet Radiation in a Plasma Wind Tunnel Flow

T. Hermann; S. Lohle; S. Fasoulas; P. Leyland; L. Marraffa et al. 

Journal Of Thermophysics And Heat Transfer. 2017. Vol. 31, num. 3, p. 575-585. DOI : 10.2514/1.T4936.

Dynamical Low Rank approximation of PDEs with random parameters

E. Musharbash / F. Nobile (Dir.)  

Lausanne, EPFL, 2017. 

A Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

M. Pisaroni; F. Nobile; P. Leyland 

2017. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Denver, Colorado, USA, 5-9 June 2017. DOI : 10.2514/6.2017-3329.

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

M. Pisaroni; F. Nobile; P. Leyland 

Computer Methods in Applied Mechanics and Engineering. 2017. Vol. 326, p. 20-50. DOI : 10.1016/j.cma.2017.07.030.

A posteriori error estimation for the steady Navier-Stokes equations in random domains

D. S. Guignard; F. Nobile; M. Picasso 

Computer Methods in Applied Mechanics and Engineering. 2017. Vol. 313, p. 483-511. DOI : 10.1016/j.cma.2016.10.008.

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A. Cohen; G. Migliorati; F. Nobile 

Constructive Approximation. 2017. Vol. 45, num. 3, p. 497-519. DOI : 10.1007/s00365-017-9364-8.

2016

Efficient approximation of the contact area between rough surfaces

V. Rey; J-F. Molinari; G. Anciaux; F. Nobile; S. Krumscheid 

Engineering Mechanics Institute International Conference, Metz, France, October 25-27, 2016.

A posteriori error estimation for partial differential equations with random input data

D. S. Guignard / F. Nobile; M. Picasso (Dir.)  

Lausanne, EPFL, 2016. 

A Multi Level Monte Carlo Algorithm for the Treatment of Geometrical and Operational Uncertainties in Internal and External Aerodynamics

M. Pisaroni; P. Leyland; F. Nobile 

2016. AIAA Aviation – 46th AIAA Fluid Dynamics Conference, Washington, D.C, 13-17 June 2016. p. 4398. DOI : 10.2514/6.2016-4398.

Numerical methods for random and stochastic partial differential equations

A. Chernov; A. Debussche; F. Nobile 

Stochastics and Partial Differential Equations Analysis and Computations. 2016. Vol. 4, num. 1, p. 1-2. DOI : 10.1007/s40072-016-0073-2.

An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient

F. Nobile; L. Tamellini; F. Tesei; R. Tempone 

Sparse Grids and Applications – Stuttgart 2014; Berlin: Springer, 2016. p. 191-220.

Numerical Approximation of Flows in Random Porous Media

F. Tesei / F. Nobile (Dir.)  

Lausanne, EPFL, 2016. 

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

A-L. Haji-Ali; F. Nobile; L. Tamellini; R. Tempone 

Foundations of Computational Mathematics. 2016. Vol. 16, num. 6, p. 1555-1605. DOI : 10.1007/s10208-016-9327-7.

Multi-index Stochastic Collocation for random PDEs

A-L. Haji-Ali; F. Nobile; L. Tamellini; R. Tempone 

Computer Methods in Applied Mechanics and Engineering. 2016. Vol. 306, p. 95-122. DOI : 10.1016/j.cma.2016.03.029.

A posteriori error estimations for elliptic partial differential equations with small uncertainties

D. S. Guignard; F. Nobile; M. Picasso 

Numerical Methods for Partial Differential Equations. 2016. Vol. 32, num. 1, p. 175-212. DOI : 10.1002/num.21991.

Tensor train approximation of moment equations for elliptic equations with lognormal coefficient

F. Bonizzoni; F. Nobile; D. Kressner 

Computer Methods in Applied Mechanics and Engineering. 2016. Vol. 308, p. 349-376. DOI : 10.1016/j.cma.2016.05.026.

Analytic regularity and collocation approximation for elliptic PDEs with Random domain deformations

J. E. Castrillón-Candás; F. Nobile; R. Tempone 

Computers and Mathematics with Applications. 2016. Vol. 71, num. 6, p. 1173-1197. DOI : 10.1016/j.camwa.2016.01.005.

Multi-index Monte Carlo: when sparsity meets sampling

A-L. Haji-Ali; F. Nobile; R. Tempone 

Numerische Mathematik. 2016. Vol. 132, num. 4, p. 767-806. DOI : 10.1007/s00211-015-0734-5.

Optimization of mesh hierarchies in multilevel Monte Carlo samplers

A-L. Haji-Ali; F. Nobile; E. von Schwerin; R. Tempone 

Stochastic Partial Differential Equations: Analysis and Computations. 2016. Vol. 4, num. 1, p. 76-112. DOI : 10.1007/s40072-015-0049-7.

Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs

F. Nobile; L. Tamellini; R. Tempone 

Numerische Mathematik. 2016. Vol. 134, num. 2, p. 343-388. DOI : 10.1007/s00211-015-0773-y.

2015

Analysis and Computation of Hyperbolic PDEs with Random Data

M. Motamed; F. Nobile; R. Tempone 

Encyclopedia of Applied and Computational Mathematics. 2015.  p. 51-58. DOI : 10.1007/978-3-540-70529-1_527.