Limiting the impact of supply chain disruptions in the face of distributional uncertainty in demand
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This study discusses the capability of the constitutive laws for the matrix logarithm of the conformation tensor (LCT model) within the framework of the spectral elements method. The high Weissenberg number problems (HWNP) usually produce a lack of converg ...
This work studies linear elliptic problems under uncertainty. The major emphasis is on the deterministic treatment of such uncertainty. In particular, this work uses the Worst Scenario approach for the characterization of uncertainty on functional outputs ...
We present a new method for approximate inference in Switching linear Gaussian State Space Models (also known as Switching Kalman Filters. The method is similar in spirit to the Rauch-Tung-Striebel smoother in the Kalman Filter case. Only a single Forward ...
Mathematical modeling of human physiopathology is a tremendously ambitious task. It encompasses the modeling of most diverse compartments such as the cardiovascular, respiratory, skeletal and nervous systems, as well as the mechanical and biochemical inter ...
We discuss the numerical solution of the 3-D Maxwell's equations in general curvilinear coordinates using a multidomain pseudospectral (Chebyshev collocation) scheme. The formulation of the equations and the method as well as the multidomain patching proce ...
The comparison of numerical results for implicit-explicit and fully explicit Runge-Kutta time integration methods for a nozzle flow problem shows that filtering can significantly degrade the accuracy of the numerical solution for long-time integration prob ...
Eulerian photochem. grid models are widely used in the making of policy decisions concerning emission controls. However, significant uncertainties persist in a host of crucial input parameters. Quantifying and understanding their implications have become i ...
In this work, we present a new framework to cope with problems due to uncertainty. We consider the uncertainty implicitly with helps of Uncertainty Feature Optimization (UFO), i.e. we transform the initial problem to a multi-objective problem. The aim is t ...
The reliability of computer predictions of physical events depends on several factors: the mathematical model of the event, the numerical approximation of the model, and the random nature of data characterizing the model. This paper addresses the mathemati ...
In this paper we present a method for the numerical solution of elliptic problems with multi-scale data using multiple levels of not necessarily nested grids. The method consists in calculating successive corrections to the solution in patches whose discre ...