Listar Institut de Mathématiques de Bordeaux (IMB)

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Listar Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 por título

Semi-intrusive and non-intrusive stochastic methods for aerospace applications

A simple semi-intrusive method for Uncertainty Quantification of shocked flows, comparison with a non-intrusive Polynomial Chaos method

A simple semi-intrusive method for uncertainty quantification of shocked flows, comparison with a non-intrusive polynomial choas method

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Upwind residual discretization of enhanced Boussinesq equations for wave propagation over complex bathymetries

An immersed boundary method using unstructured anisotropic mesh adaptation combined with level-sets and penalization techniques

Locally refined discrete velocity grids for stationary rarefied flow simulations

Unconditionally stable space-time discontinuous residual distribution for shallow water flows

Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems

On the Asymptotic Preserving property of the Unified Gas Kinetic Scheme for the diffusion limit of linear kinetic models

Local discrete velocity grids for deterministic rarefied flow simulations

Factorization Algorithms over Number Fields

Tetrahedral Remeshing in the Context of Large-Scale Numerical Simulation and High Performance Computing

The DGDD Method for Reduced-Order Modeling of Conservation Laws

Bathymetry and Atomic Gravimetry Sensor Fusion for Autonomous Underwater Vehicle

Optimal control of the cylinder wake in the laminar regime by Trust-Region methods and POD Reduced-Order Models

Registration-based model reduction of parameterized two-dimensional conservation laws

Sin título

Listar Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 por título

Semi-intrusive and non-intrusive stochastic methods for aerospace applications ﻿

A simple semi-intrusive method for Uncertainty Quantification of shocked flows, comparison with a non-intrusive Polynomial Chaos method ﻿

A simple semi-intrusive method for uncertainty quantification of shocked flows, comparison with a non-intrusive polynomial choas method ﻿

Geomstats: A Python Package for Riemannian Geometry in Machine Learning ﻿

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging ﻿

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results ﻿

Upwind residual discretization of enhanced Boussinesq equations for wave propagation over complex bathymetries ﻿

An immersed boundary method using unstructured anisotropic mesh adaptation combined with level-sets and penalization techniques ﻿

Locally refined discrete velocity grids for stationary rarefied flow simulations ﻿

Unconditionally stable space-time discontinuous residual distribution for shallow water flows ﻿

Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems ﻿

On the Asymptotic Preserving property of the Unified Gas Kinetic Scheme for the diffusion limit of linear kinetic models ﻿

Local discrete velocity grids for deterministic rarefied flow simulations ﻿

Factorization Algorithms over Number Fields ﻿

Tetrahedral Remeshing in the Context of Large-Scale Numerical Simulation and High Performance Computing ﻿

The DGDD Method for Reduced-Order Modeling of Conservation Laws ﻿

Bathymetry and Atomic Gravimetry Sensor Fusion for Autonomous Underwater Vehicle ﻿

Optimal control of the cylinder wake in the laminar regime by Trust-Region methods and POD Reduced-Order Models ﻿

Registration-based model reduction of parameterized two-dimensional conservation laws ﻿

Sin título ﻿

Semi-intrusive and non-intrusive stochastic methods for aerospace applications

A simple semi-intrusive method for Uncertainty Quantification of shocked flows, comparison with a non-intrusive Polynomial Chaos method

A simple semi-intrusive method for uncertainty quantification of shocked flows, comparison with a non-intrusive polynomial choas method

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Upwind residual discretization of enhanced Boussinesq equations for wave propagation over complex bathymetries

An immersed boundary method using unstructured anisotropic mesh adaptation combined with level-sets and penalization techniques

Locally refined discrete velocity grids for stationary rarefied flow simulations

Unconditionally stable space-time discontinuous residual distribution for shallow water flows

Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems

On the Asymptotic Preserving property of the Unified Gas Kinetic Scheme for the diffusion limit of linear kinetic models

Local discrete velocity grids for deterministic rarefied flow simulations

Factorization Algorithms over Number Fields

Tetrahedral Remeshing in the Context of Large-Scale Numerical Simulation and High Performance Computing

The DGDD Method for Reduced-Order Modeling of Conservation Laws

Bathymetry and Atomic Gravimetry Sensor Fusion for Autonomous Underwater Vehicle

Optimal control of the cylinder wake in the laminar regime by Trust-Region methods and POD Reduced-Order Models

Registration-based model reduction of parameterized two-dimensional conservation laws

Sin título