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Convergence rates are compared for an advection diffusion problem, with a speedup of 2.5 seen for fluctuation splitting versus finite volume when solved on the same mesh.
One approach for obtaining solutions with improved accuracy is represented by the idea of refinement by differences of higher order, which was offered by Fox [1]: the right-hand side of the difference scheme is corrected by the solution obtained on the first stage and the scheme is repeatedly solved on the same grid.
Whereas, in the previous approach, both the ventricles and the Purkinje network were represented in the same space and solved on the same numerical grid, here they are not.
Similar(57)
Much like natural evolution, different organisms solve for the same problem differently depending on their environment, but ultimately reach the same outcome.
Here we solve them simultaneously, by recasting all the equations in the same, hyperbolic form and solving them on the same grid with the same finite-volume numerical schemes.
In case of minor crisis, we will try to solve them on the same day…Through all these activities we have built up a good rapport outside.
Problem-Solving Sophistication differentiates itself from the other problem-solving categories with such statements as: "If I want to apply a method used for solving one physics problem to another problem, the problems must involve very similar situations" and "After I study a topic in physics and feel that I understand it, I have difficulty solving problems on the same topic".
Both models incorporate sparseness control on the network connections and prior network information, and they can be solved with the same optimization framework.
It all started in 2009, when Cambridge mathematician Tim Gowers wrote about the possibility of an open online group allowing unprecedented numbers of people to work on the same problem, hopefully solving conundrums much more quickly.
Not because people aren't trying hard, but that we're stuck on solving the same "problem", which really wasn't a problem in the first place, over and over again.
Reverie Labs wants to set itself apart from other startups focused on solving the same problem by taking recently-discovered machine learning techniques, and applying them to drug development.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com