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Importantly, with an efficient implementation, this algorithm may be among the few which are compute-bound and not memory-bound.
The residual ligament size approach is introduced to implementation this algorithm for identifying the crack tip position on a curved path with respect to the drop potential signal.
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A MATLAB implementation of this algorithm has also been developed and made available online.
Numerical results obtained using implementation of this algorithm show good agreement with analytical formulas.
Different architectures for the hardware implementation of this algorithm are described in VHDL language.
Measuring downstream outcomes such as the overall rates of FH diagnosis, cascade screening, ASCVD events or survival would require longitudinal observation after implementation of this algorithm and was not addressed in this study.
We describe the implementation of this algorithm and two applications: two dimensions (2-D) melts and polymer collapse.
With numerical experiments we show the remarkable efficiency, fidelity, and accuracy one can achieve with an implementation of this algorithm.
In this paper, we describe an implementation of this algorithm into OSIRIS using a rigorous charge conserving current deposition method to maintain the validity of Gauss's law.
With detailed numerical experiments we show the efficiency, fidelity, and high-order accuracy one can achieve with an implementation of this algorithm.
We construct a basic implementation of this algorithm to simulate magnetohydrodynamic (MHD) channel flows with an externally imposed, transverse magnetic field, where very thin boundary layers are known to develop along the channel walls.
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