Computational Challenges in Numerical Simulations of ISI of Ferritic Steam Generator Tubes in Fast Breeder Reactors using Eddy Currents and Multi-frequency AlgorithmsIn the present paper are addressed the chall
It deals with the design and analysis of algorithms that preserve the structure of the analytic flow. The present review discusses numerical integrators, which nearly preserve the energy of Hamiltonian systems over long times. Backward error analysis gives important insight in the situation, where the...
The description of the individual phenomena and of the nonlinear coupling between them involves a hierarchy of models, which, when applied to realistic configurations, require the most advanced numerical techniques and algorithms and the use of state-of-the-art high-performance computers. The common ...
Metaheuristic algorithms have wide applicability, particularly in wireless sensor networks (WSNs), due to their superior skill in solving and optimizing many issues in different domains. However, WSNs suffer from several issues, such as deployment, localization, sink node placement, energy efficiency, a...
At the core of today’s technological challenges is the ability to process information at massively superior speed and accuracy. Despite large-scale success of deep learning approaches in producing exciting new possibilities1,2,3,4,5,6,7, such methods generally rely on training big models of neu...
This study addresses the power-flow-analysis problem for direct-current (DC) grids from a numerical perspective. Classical and emerging algorithms for power flow solutions in DC networks such as Gauss--Seidel, successive approximations, Newton--Raphson, and Taylor-based methods are reviewed herein in...
The accuracy and cost of a simulation is linked to the numerical algorithms employed. Here two codes are contrasted. These are a compact finite difference scheme (code A), and an optimised flux reconstruction scheme (code B). Particulars of each code are detailed in Table 2. Table 2. Code...
As we discussed above, we are interested in developing algorithms that provide robust estimates: A handful of highly biased positions in the transcript, from which a much larger number of reads is obtained simply due to fragmentation bias, should not unduly influence the estimate of PSI. Our ...
A Numerical Review of Multi-Fluid SPH Algorithms for High Density Ratios Chapter © 2016 Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Complexity Computational Complexity Fluidics Fluid Mechanics Global South...
In few past years, there are a number of attempts of utilizing ML techniques in solving NR problems in SDNs. Historically, NRs in power systems has been accomplished through the use of heuristic-based algorithms as extensively indicated in Table1in subsection4.2. These procedures, however, are ...