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Fabio Nobile
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2020 – today
- 2024
- [j58]Gabriele Ciaramella, Fabio Nobile, Tommaso Vanzan
:
A Multigrid Solver for PDE-Constrained Optimization with Uncertain Inputs. J. Sci. Comput. 101(1): 13 (2024) - [j57]Fabio Nobile, Tommaso Vanzan:
A Combination Technique for Optimal Control Problems Constrained by Random PDEs. SIAM/ASA J. Uncertain. Quantification 12(2): 693-721 (2024) - [i22]Fabio Nobile, Thomas Trigo Trindade:
Error estimates for SUPG-stabilised Dynamical Low Rank Approximations. CoRR abs/2402.03586 (2024) - [i21]Fabio Nobile, Thomas Trigo Trindade:
Petrov-Galerkin Dynamical Low Rank Approximation:SUPG stabilisation of advection-dominated problems. CoRR abs/2407.01404 (2024) - [i20]Fabio Nobile, Tommaso Vanzan:
Multilevel quadrature formulae for the optimal control of random PDEs. CoRR abs/2407.06678 (2024) - 2023
- [j56]Sundar Ganesh
Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method. J. Comput. Phys. 495: 112523 (2023) - [j55]Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings. SIAM/ASA J. Uncertain. Quantification 11(1): 91-138 (2023) - [j54]Fabio Nobile
Preconditioners for robust optimal control problems under uncertainty. Numer. Linear Algebra Appl. 30(2) (2023) - [j53]Yoshihito Kazashi, Fabio Nobile:
Density Estimation in RKHS with Application to Korobov Spaces in High Dimensions. SIAM J. Numer. Anal. 61(2): 1080-1102 (2023) - [i19]Gabriele Ciaramella, Fabio Nobile, Tommaso Vanzan:
A multigrid method for PDE-constrained optimization with uncertain inputs. CoRR abs/2302.13680 (2023) - [i18]Yoshihito Kazashi, Fabio Nobile, Fabio Zoccolan:
Dynamically Orthogonal Approximation for Stochastic Differential Equations. CoRR abs/2308.11581 (2023) - [i17]Pål Forr Austnes, Celia García-Pareja, Fabio Nobile, Mario Paolone:
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas. CoRR abs/2310.03657 (2023) - 2022
- [j52]Giovanni Migliorati, Fabio Nobile
Stable high-order randomized cubature formulae in arbitrary dimension. J. Approx. Theory 275: 105706 (2022) - [j51]Marcus J. Grote
Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation. SIAM/ASA J. Uncertain. Quantification 10(4): 1601-1628 (2022) - [j50]Christian Vergara
Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region. Medical Biol. Eng. Comput. 60(8): 2307-2319 (2022) - [j49]Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. Numerische Mathematik 150(1): 33-77 (2022) - [i16]Quentin Ayoul-Guilmard
Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures. CoRR abs/2208.07252 (2022) - [i15]Sundar Ganesh, Fabio Nobile:
Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method. CoRR abs/2210.03485 (2022) - [i14]Fabio Nobile, Tommaso Vanzan:
A combination technique for optimal control problems constrained by random PDEs. CoRR abs/2211.00499 (2022) - 2021
- [j48]Julio Enrique Castrillón-Candás
A hybrid collocation-perturbation approach for PDEs with random domains. Adv. Comput. Math. 47(3): 40 (2021) - [j47]Matthieu Martin, Fabio Nobile
PDE-Constrained Optimal Control Problems with Uncertain Parameters using SAGA. SIAM/ASA J. Uncertain. Quantification 9(3): 979-1012 (2021) - [j46]Frances Y. Kuo, Giovanni Migliorati
Function integration, reconstruction and approximation using rank-1 lattices. Math. Comput. 90(330): 1861-1897 (2021) - [j45]Alexey Chernov, Håkon Hoel
Multilevel ensemble Kalman filtering for spatio-temporal processes. Numerische Mathematik 147(1): 71-125 (2021) - [j44]Yoshihito Kazashi, Fabio Nobile
Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations. Numerische Mathematik 149(4): 973-1024 (2021) - [j43]Jonas Latz, Juan P. Madrigal-Cianci
Generalized parallel tempering on Bayesian inverse problems. Stat. Comput. 31(5): 67 (2021) - [i13]Simone Stella, Christian Vergara, Massimiliano Maines, Domenico Catanzariti, Pasquale Claudio Africa, Cristina Demattè, Maurizio Centonze, Fabio Nobile, Maurizio Del Greco, Alfio Quarteroni:
Integration of activation maps of epicardial veins in computational cardiac electrophysiology. CoRR abs/2102.00498 (2021) - [i12]Juan Pablo Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings. CoRR abs/2105.02035 (2021) - [i11]Marcus J. Grote, Simon Michel, Fabio Nobile:
Uncertainty Quantification by MLMC and Local Time-stepping For Wave Propagation. CoRR abs/2106.11117 (2021) - [i10]Yoshihito Kazashi, Fabio Nobile:
Density estimation in RKHS with application to Korobov spaces in high dimensions. CoRR abs/2108.12699 (2021) - [i9]Fabio Nobile, Tommaso Vanzan:
Preconditioners for robust optimal control problems under uncertainty. CoRR abs/2110.07362 (2021) - 2020
- [j42]Francesca Bonizzoni
Least-Squares Padé approximation of parametric and stochastic Helmholtz maps. Adv. Comput. Math. 46(3): 46 (2020) - [j41]Simone Stella
Integration of activation maps of epicardial veins in computational cardiac electrophysiology. Comput. Biol. Medicine 127: 104047 (2020) - [j40]Francesca Bonizzoni
Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem. Comput. Math. Appl. 80(12): 2925-2947 (2020) - [j39]Sebastian Krumscheid
Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation. J. Comput. Phys. 414: 109466 (2020) - [j38]Panagiotis Tsilifis
Sparse Polynomial Chaos expansions using variational relevance vector machines. J. Comput. Phys. 416: 109498 (2020) - [j37]Francesca Bonizzoni
Fast Least-Squares Padé approximation of problems with normal operators and meromorphic structure. Math. Comput. 89(323): 1229-1257 (2020) - [i8]Yoshihito Kazashi, Fabio Nobile:
Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval. CoRR abs/2002.02356 (2020) - [i7]Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Generalized Parallel Tempering on Bayesian Inverse Problems. CoRR abs/2003.03341 (2020) - [i6]Francesca Bonizzoni, Fabio Nobile:
Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem. CoRR abs/2005.06863 (2020) - [i5]Yoshihito Kazashi, Fabio Nobile, Eva Vidlicková:
Stability properties of a projector-splitting scheme for the dynamical low rank approximation of random parabolic equations. CoRR abs/2006.05211 (2020) - [i4]Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. CoRR abs/2007.06367 (2020) - [i3]Fabio Nobile, Davide Pradovera:
Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates. CoRR abs/2008.10864 (2020)
2010 – 2019
- 2019
- [j36]Eleonora Arnone
Modeling spatially dependent functional data via regression with differential regularization. J. Multivar. Anal. 170: 275-295 (2019) - [i2]Frances Y. Kuo, Giovanni Migliorati, Fabio Nobile, Dirk Nuyens:
Function integration, reconstruction and approximation using rank-1 lattices. CoRR abs/1908.01178 (2019) - [i1]Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. CoRR abs/1912.11029 (2019) - 2018
- [j35]Eleonora Musharbash, Fabio Nobile
Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions. J. Comput. Phys. 354: 135-162 (2018) - [j34]Sebastian Krumscheid
Multilevel Monte Carlo Approximation of Functions. SIAM/ASA J. Uncertain. Quantification 6(3): 1256-1293 (2018) - [j33]Simone Brugiapaglia
A theoretical study of COmpRessed SolvING for advection-diffusion-reaction problems. Math. Comput. 87(309): 1-38 (2018) - [j32]Fabio Nobile
Sparse approximation of multilinear problems with applications to kernel-based methods in UQ. Numerische Mathematik 139(1): 247-280 (2018) - [j31]Diane Guignard, Fabio Nobile
A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method. SIAM J. Numer. Anal. 56(5): 3121-3143 (2018) - 2016
- [j30]Julio Enrique Castrillón-Candás, Fabio Nobile
Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations. Comput. Math. Appl. 71(6): 1173-1197 (2016) - [j29]Abdul-Lateef Haji-Ali
Multi-index Stochastic Collocation Convergence Rates for Random PDEs with Parametric Regularity. Found. Comput. Math. 16(6): 1555-1605 (2016) - [j28]Abdul-Lateef Haji-Ali
Multi-index Monte Carlo: when sparsity meets sampling. Numerische Mathematik 132(4): 767-806 (2016) - [j27]Fabio Nobile
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs. Numerische Mathematik 134(2): 343-388 (2016) - 2015
- [j26]Mohammad Motamed, Fabio Nobile
Analysis and computation of the elastic wave equation with random coefficients. Comput. Math. Appl. 70(10): 2454-2473 (2015) - [j25]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) - [j24]Simone Palamara, Christian Vergara, Elena Faggiano
An effective algorithm for the generation of patient-specific Purkinje networks in computational electrocardiology. J. Comput. Phys. 283: 495-517 (2015) - [j23]Daniel Kressner, Rajesh Kumar, Fabio Nobile
Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. SIAM/ASA J. Uncertain. Quantification 3(1): 393-416 (2015) - [j22]Giovanni Migliorati, Fabio Nobile
Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points. J. Multivar. Anal. 142: 167-182 (2015) - [j21]Eleonora Musharbash, Fabio Nobile
Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs. SIAM J. Sci. Comput. 37(2) (2015) - [e1]Assyr Abdulle, Simone Deparis
Numerical Mathematics and Advanced Applications - ENUMATH 2013 - Proceedings of ENUMATH 2013, the 10th European Conference on Numerical Mathematics and Advanced Applications, Lausanne, Switzerland, August 2013. Lecture Notes in Computational Science and Engineering 103, Springer 2015, ISBN 978-3-319-10704-2 [contents] - 2014
- [j20]Joakim Beck
Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients. Comput. Math. Appl. 67(4): 732-751 (2014) - [j19]Giovanni Migliorati, Fabio Nobile
Analysis of Discrete L2 Projection on Polynomial Spaces with Random Evaluations. Found. Comput. Math. 14(3): 419-456 (2014) - [j18]Fabio Nobile
Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics. J. Comput. Phys. 273: 598-617 (2014) - [j17]Francesca Bonizzoni, Fabio Nobile
Perturbation Analysis for the Darcy Problem with Log-Normal Permeability. SIAM/ASA J. Uncertain. Quantification 2(1): 223-244 (2014) - [j16]Laura Azzimonti
Mixed Finite Elements for Spatial Regression with PDE Penalization. SIAM/ASA J. Uncertain. Quantification 2(1): 305-335 (2014) - [j15]Christian Vergara, Simone Palamara, Domenico Catanzariti, Fabio Nobile
Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation. Medical Biol. Eng. Comput. 52(10): 813-826 (2014) - 2013
- [j14]Mohammad Motamed, Fabio Nobile
A stochastic collocation method for the second order wave equation with a discontinuous random speed. Numerische Mathematik 123(3): 493-536 (2013) - [j13]Giovanni Migliorati, Fabio Nobile
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete L2 Projection on Polynomial Spaces. SIAM J. Sci. Comput. 35(3) (2013) - 2011
- [j12]D. Ambrosi, Gianni Arioli
Electromechanical Coupling in Cardiac Dynamics: The Active Strain Approach. SIAM J. Appl. Math. 71(2): 605-621 (2011) - 2010
- [j11]Luca Gerardo-Giorda
Analysis and Optimization of Robin-Robin Partitioned Procedures in Fluid-Structure Interaction Problems. SIAM J. Numer. Anal. 48(6): 2091-2116 (2010) - [j10]Ivo Babuska, Fabio Nobile
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data. SIAM Rev. 52(2): 317-355 (2010)
2000 – 2009
- 2009
- [j9]Luca Gerardo-Giorda
A model-based block-triangular preconditioner for the Bidomain system in electrocardiology. J. Comput. Phys. 228(10): 3625-3639 (2009) - [j8]Fabio Nobile
Coupling strategies for the numerical simulation of blood flow in deformable arteries by 3D and 1D models. Math. Comput. Model. 49(11-12): 2152-2160 (2009) - 2008
- [j7]Santiago Badia
Fluid-structure partitioned procedures based on Robin transmission conditions. J. Comput. Phys. 227(14): 7027-7051 (2008) - [j6]Fabio Nobile
A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data. SIAM J. Numer. Anal. 46(5): 2309-2345 (2008) - [j5]Fabio Nobile
An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data. SIAM J. Numer. Anal. 46(5): 2411-2442 (2008) - [j4]Fabio Nobile
An Effective Fluid-Structure Interaction Formulation for Vascular Dynamics by Generalized Robin Conditions. SIAM J. Sci. Comput. 30(2): 731-763 (2008) - 2007
- [j3]Ivo Babuska, Fabio Nobile
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data. SIAM J. Numer. Anal. 45(3): 1005-1034 (2007) - 2005
- [j2]Ivo Babuska, Fabio Nobile
Worst case scenario analysis for elliptic problems with uncertainty. Numerische Mathematik 101(2): 185-219 (2005) - 2004
- [c1]J. Tinsley Oden, James C. Browne, Ivo Babuska, Chandrajit L. Bajaj, Leszek F. Demkowicz, L. Gray, Jon Bass, Yusheng Feng, Serge Prudhomme, Fabio Nobile
A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations. International Conference on Computational Science 2004: 756-763 - 2002
- [j1]Luca Formaggia
Numerical Treatment of Defective Boundary Conditions for the Navier-Stokes Equations. SIAM J. Numer. Anal. 40(1): 376-401 (2002)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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