Abstract The Scenario Weights for Importance Measurement ( SWIM ) package implements a flexible sensitivity analysis framework, based primarily on results and tools developed by Pesenti et al . (2019). provides stressed version of stochastic model, subject to model components (random variables) fulfilling given probabilistic constraints (stresses). Possible stresses can be applied moments, prob...

We describe performance enhancements that have been added to mkbTT, a modern completion tool combining multi-completion with the use of termination tools.

We present an update of the General-relativistic multigrid numerical (Gmunu) code, a parallelized, multi-dimensional curvilinear, general relativistic magnetohydrodynamics code with efficient non-linear cell-centred (CCMG) elliptic solver, which is fully coupled block-based adaptive mesh refinement modules. Currently, Gmunu able to solve metric equations in conformally flat condition (CFC) appr...

ABSTRACT We present a novel hierarchical formulation of the fourth-order forward symplectic integrator and its numerical implementation in GPU-accelerated direct-summation N-body code frost. The new is especially suitable for simulations with large dynamical range due to nature. strictly positive sub-steps are made possible by computing an additional gradient term addition Newtonian acceleratio...

ABSTRACT We report first results on a method aimed at simultaneously characterizing atmospheric parameters and magnetic properties of M dwarfs from high-resolution near-IR spectra recorded with SPIRou in the framework Legacy Survey (SLS). Our analysis relies fitting synthetic computed marcs model atmospheres to selected spectral lines, both sensitive insensitive fields. introduce new code, ZeeT...

In recent years, the application of tensors has become more widespread in fields that involve data analytics and numerical computation. Due to explosive growth data, low-rank tensor decompositions have a powerful tool harness notorious curse dimensionality . The main forms decomposition include CP decomposition, Tucker train (TT) etc. Each existing TT algorithms, including TT-SVD randomized TT-...