Publications related to On the Long-Run Behavior of Equation-Based Rate Control

An artificial neural network as a troubled-cell indicator

High-resolution schemes for conservation laws need to suitably limit the numerical solution near discontinuities, in order to avoid Gibbs oscillations. The solution quality and the computational cost of such schemes strongly depend on their ability to corr ...

2018

Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

Thomas Keller, Anastasios Vassilopoulos, Moslem Shahverdi, Roohollah Sarfaraz Khabbaz, Aida Cameselle Molares

A quasi-static progressive damage model for prediction of the fracture behaviour and strength of adhesively bonded fibre-reinforced polymer joints is introduced in this paper. The model is based on the development of a mixed-mode failure criterion as a fun ...

Wiley2017

Large-Scale Tsunami Simulations using the Discontinuous Galerkin Method

Jan Sickmann Hesthaven, Boris Bonev

Discontinuous Galerkin methods have desirable properties, which make them suitable for the com- putation of wave problems. Being parallelizable and hp-adaptive makes them attractive for the simulation of large-scale tsunami propagation. In order to retriev ...

2017

Technical Brief: Knockdown Factor for the Buckling of Spherical Shells Containing Large-Amplitude Geometric Defects

Pedro Miguel Nunes Pereira de Almeida Reis, Anna Lee

We explore the effect of precisely defined geometric imperfections on the buckling load of spherical shells under external pressure loading, using finite-element analysis that was previously validated through precision experiments. Our numerical simulation ...

American Society of Mechanical Engineers2017

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Napat Rujeerapaiboon

Dynamic optimization problems affected by uncertainty are ubiquitous in many application domains. Decision makers typically model the uncertainty through random variables governed by a probability distribution. If the distribution is precisely known, then ...

EPFL2016

Partial Recovery Bounds for the Sparse Stochastic Block Model

Volkan Cevher, Jonathan Mark Scarlett

In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities

\frac{a}{n}

and

\frac{b}{n}

respectively. We consider the ...

Ieee2016

A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients

Fabio Nobile, Francesco Tesei

We consider the numerical approximation of the stochastic Darcy problem with log-normal permeability field and propose a novel Multi Level Monte Carlo (MLMC) approach with a control variate variance reduction technique on each level. We model the log-perme ...

2015

Homogenization of a multiscale viscoelastic model with nonlocal damping, application to the human lungs

Paul Isaac Denis Louis Marie Cazeaux

We are interested in the mathematical modeling of the deformation of the human lung tissue, called the lung parenchyma, during the respiration process. The parenchyma is a foam-like elastic material containing millions of air-filled alveoli connected by a ...

World Scientific Publ Co Pte Ltd2015

MATHICSE Technical Report : A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients

Fabio Nobile, Francesco Tesei

We consider the numerical approximation of the stochastic Darcy problem with log-normal permeability field and propose a novel Multi Level Monte Carlo approach with a control variate variance reduction technique on each level. We model the log-permeability ...

MATHICSE2014

A variational approach to stable principal component pursuit

Volkan Cevher

We introduce a new convex formulation for stable principal component pursuit (SPCP) to decompose noisy signals into low-rank and sparse representations. For numerical solutions of our SPCP formulation, we first develop a convex variational framework and th ...

2014

On the Long-Run Behavior of Equation-Based Rate Control

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An artificial neural network as a troubled-cell indicator

Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

Large-Scale Tsunami Simulations using the Discontinuous Galerkin Method

Technical Brief: Knockdown Factor for the Buckling of Spherical Shells Containing Large-Amplitude Geometric Defects

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Partial Recovery Bounds for the Sparse Stochastic Block Model

A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients

Homogenization of a multiscale viscoelastic model with nonlocal damping, application to the human lungs

MATHICSE Technical Report : A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients

A variational approach to stable principal component pursuit

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

MATHICSE Technical Report : A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients

A Multi Level Monte Carlo Method with Control Variate for elliptic PDEs with log-normal coefficients

A variational approach to stable principal component pursuit

Large-Scale Tsunami Simulations using the Discontinuous Galerkin Method

An artificial neural network as a troubled-cell indicator

Technical Brief: Knockdown Factor for the Buckling of Spherical Shells Containing Large-Amplitude Geometric Defects

Partial Recovery Bounds for the Sparse Stochastic Block Model

Homogenization of a multiscale viscoelastic model with nonlocal damping, application to the human lungs