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Electronic interactions driving chemical bonding are treated implicitly, allowing the method to simulate reaction chemistry without explicit QM consideration.
Together, these discretization techniques are able to achieve directionally independent, automatic refinement of the underlying model, allowing the method to generate accurate solutions without the need for intermediate human involvement.
In contrast to a number of previous studies, no assumptions of radial or cylindrical symmetry is assumed allowing the method to be applied to 2D and 3D time-dependent simulations.
The DSMC method has been improved to account for these kind of correlated collisions along with a treatment allowing the method to be used also at relatively high volume fractions.
Integer Linear Programming (ILP) is used to compute globally optimal solutions for these linear optimization problems, allowing the method to accommodate any type of constraints explicitly, without the need for any Lagrange multipliers or thresholds for sensitivities (like the modern BESO [1]), or heuristics (like the early ESO/BESO methods [3]).
Alternately, it can be approximated by the ABF [ 17, 18], allowing the method to be used in conjunction with standard Frequentist association testing software.
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In this work, we extend the framework to handle MCPSC while allowing the methods to be combined serially where required.
"This solution will allow the method of voting to be decided by individual county clerks who know what kind of elections systems work best in their counties".
Fourth, including shape prior allows the method to handle occlusion and noise.
This allows the method to use only low order polynomial approximations with high accuracy.
A limiting pressure profile, coupled with a cut-off procedure, allows the method to cope with the nonlinear behaviour.
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