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Result shows that explicit finite element method is computational efficient and can effectively avoid convergence problem.
Compared with similar methods, this method is computational efficiency and has no requirement of the concentric circles' radii.
In DEM, the individual interaction forces between particles are treated on a particle particle pair basis, and therefore, this method is computational expensive.
Two benchmark test examples are presented to illustrate that this new method is computational efficiency, robust, accurate and consistent with the results obtained in the context of shape and topology optimization of the fluids.
Since time discretization by a Gauss Legendre method is computational rather expensive, we suggest several semi-explicit multi-symplectic methods based on Gauss Legendre collocation in space and explicit or linearly implicit symplectic discretizations in time.
Another rational protein design method is computational protein design, which aims to design new protein molecules with a target folding protein structure, novel function and/or behavior.
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The encryption method is computational-friendly, as well as energy efficient.
However, major disadvantages of DP method are computational and dimensional requirements which grow drastically with increasing system size and planning horizon.
A parameter which determines the running time of different methods is computational complexity.
However these methods are computational expensive and as such not currently an option for a real-time stereo requirement.
In addition, some methods such as, quantile regression methods, are computational intensive and may fail to provide a detailed decomposition for distributional parameters other than the mean.
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