Fabio Nobile
Orcid: 0000-0002-8130-0114
According to our database1,
Fabio Nobile
authored at least 69 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
J. Sci. Comput., October, 2024
SIAM/ASA J. Uncertain. Quantification, 2024
Petrov-Galerkin Dynamical Low Rank Approximation:SUPG stabilisation of advection-dominated problems.
CoRR, 2024
2023
Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method.
J. Comput. Phys., December, 2023
SIAM J. Numer. Anal., April, 2023
Numer. Linear Algebra Appl., March, 2023
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings.
SIAM/ASA J. Uncertain. Quantification, March, 2023
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas.
CoRR, 2023
CoRR, 2023
CoRR, 2023
2022
Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification.
Numerische Mathematik, 2022
Computational electrophysiology of the coronary sinus branches based on electro-anatomical mapping for the prediction of the latest activated region.
Medical Biol. Eng. Comput., 2022
Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation.
SIAM/ASA J. Uncertain. Quantification, 2022
J. Approx. Theory, 2022
Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures.
CoRR, 2022
2021
Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations.
Numerische Mathematik, 2021
Numerische Mathematik, 2021
Math. Comput., 2021
SIAM/ASA J. Uncertain. Quantification, 2021
CoRR, 2021
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings.
CoRR, 2021
Adv. Comput. Math., 2021
2020
Fast Least-Squares Padé approximation of problems with normal operators and meromorphic structure.
Math. Comput., 2020
J. Comput. Phys., 2020
Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation.
J. Comput. Phys., 2020
Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates.
CoRR, 2020
Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval.
CoRR, 2020
Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem.
Comput. Math. Appl., 2020
Integration of activation maps of epicardial veins in computational cardiac electrophysiology.
Comput. Biol. Medicine, 2020
Adv. Comput. Math., 2020
2019
Modeling spatially dependent functional data via regression with differential regularization.
J. Multivar. Anal., 2019
2018
SIAM J. Numer. Anal., 2018
Sparse approximation of multilinear problems with applications to kernel-based methods in UQ.
Numerische Mathematik, 2018
Math. Comput., 2018
SIAM/ASA J. Uncertain. Quantification, 2018
Dual Dynamically Orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions.
J. Comput. Phys., 2018
2016
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs.
Numerische Mathematik, 2016
Multi-index Stochastic Collocation Convergence Rates for Random PDEs with Parametric Regularity.
Found. Comput. Math., 2016
Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations.
Comput. Math. Appl., 2016
2015
Error Analysis of the Dynamically Orthogonal Approximation of Time Dependent Random PDEs.
SIAM J. Sci. Comput., 2015
Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points.
J. Multivar. Anal., 2015
Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields.
SIAM/ASA J. Uncertain. Quantification, 2015
An effective algorithm for the generation of patient-specific Purkinje networks in computational electrocardiology.
J. Comput. Phys., 2015
Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets.
J. Complex., 2015
Comput. Math. Appl., 2015
2014
Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation.
Medical Biol. Eng. Comput., 2014
SIAM/ASA J. Uncertain. Quantification, 2014
SIAM/ASA J. Uncertain. Quantification, 2014
Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics.
J. Comput. Phys., 2014
Analysis of Discrete L<sup>2</sup> Projection on Polynomial Spaces with Random Evaluations.
Found. Comput. Math., 2014
Convergence of quasi-optimal Stochastic Galerkin methods for a class of PDES with random coefficients.
Comput. Math. Appl., 2014
2013
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete L<sup>2</sup> Projection on Polynomial Spaces.
SIAM J. Sci. Comput., 2013
A stochastic collocation method for the second order wave equation with a discontinuous random speed.
Numerische Mathematik, 2013
2011
SIAM J. Appl. Math., 2011
2010
Analysis and Optimization of Robin-Robin Partitioned Procedures in Fluid-Structure Interaction Problems.
SIAM J. Numer. Anal., 2010
2009
Coupling strategies for the numerical simulation of blood flow in deformable arteries by 3D and 1D models.
Math. Comput. Model., 2009
A model-based block-triangular preconditioner for the Bidomain system in electrocardiology.
J. Comput. Phys., 2009
2008
An Effective Fluid-Structure Interaction Formulation for Vascular Dynamics by Generalized Robin Conditions.
SIAM J. Sci. Comput., 2008
An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data.
SIAM J. Numer. Anal., 2008
A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data.
SIAM J. Numer. Anal., 2008
J. Comput. Phys., 2008
2007
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data.
SIAM J. Numer. Anal., 2007
2005
Numerische Mathematik, 2005
2004
A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations.
Proceedings of the Computational Science, 2004
2002
Numerical Treatment of Defective Boundary Conditions for the Navier-Stokes Equations.
SIAM J. Numer. Anal., 2002