An investigation was initiated to calculate the trajectories and cutoff rigidities of cosmic rays in a high order simulation of the geomagnetic field.
A Monte Carlo second order simulation of 10,000 hypothetical patients was conducted for a midsized and a small department.
This study proposes a characteristic-based interface-sharpening algorithm for performing high-order simulations of such flows by deriving a pressure-equilibrium-consistent intermediate state (augmented with approximations of pressure derivatives) for local characteristic variable reconstruction and constructing a general framework for interface sharpening.
Probabilistic sensitivity analysis, based on 1000 second-order simulations of 10,000 patients each, showed that 50% of the simulations fell below a willingness-to-pay threshold of $20,000/QALY and 85% fell below $50,000/QALY.
The practical capabilities of the model are reported in length in the parent paper [Bonnefoy F, Le Touzé D, Ferrant P. A fully-spectral 3d time-domain model for second-order simulation of wavetank experiments. Part B Validationn, calibration versus experiments and sample applications.
A number of test cases are presented to assess the performance of the high order compact least-squares rDG methods, which demonstrates their potential to be an alternative approach for the high order numerical simulations of steady-state compressible flows.
We investigate with three dimensional numerical simulations of the inviscid Taylor Green vortex and show that the new split forms enhance the robustness of high-order simulations in comparison to the standard scheme when solving turbulent vortex dominated flows.
First order Monte Carlo simulation of a Markov transition model was used to project disease progression in patients with CD4+ count ≤100 cells/µl presenting to care, excluding patients with symptomatic cryptococcal meningitis.
It has been claimed that the particular numerical flux used in Runge Kutta Discontinuous Galerkin (RKDG) methods does not have a significant effect on the results of high-order simulations.
The code can be used in order to perform simulations of Bose Einstein condensates in gravito-optical surface traps, isotropic and full anisotropic harmonic traps, as well as for arbitrary trap geometries.
Python scripts (http://www.python.org) that perform the CIM-NPCI method were recently reported [20], but were revised extensively for this study in order to perform simulations of thousands of runs of thousands of resamplings.
