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In this article, to resolve the general adaptive problem of the dynamic grid-based algorithm in distributed interactive simulation based on HLA, the adaptive dynamic grid-based algorithm is suggested by thoroughly researching the theory proof and formula deduction of the dynamic grid-based algorithm.
Based on this investigation a remedy to stabilize the algorithm is suggested which is based on well known concepts to control the hourglass effects in the Finite Element Method.
Based on the design conditions, a numerical algorithm is suggested to find the desired controllers.
Numerical solution procedures based on the Newtonian algorithm are suggested.
A hybrid strategy based on artificial neural network/genetic algorithms is suggested to optimize the mechanical properties of cellular solids.
For bit loading, multiple algorithms are suggested.
In this paper two algorithms were suggested.
A systematic procedure for design of encryption algorithms based on chaotic maps is suggested.
Among these three algorithms, SVM-MI is suggested based on overall accuracy, stability, and computational time, which is interestingly consistent with a previous study using same dataset without utilizing stability selection [34].
A Monte Carlo stochastic simulation algorithm based on a single-particle method is suggested to describe steady-state particle coagulation processes.
A model of power-consumption for a microturbine is obtained using least square estimation algorithm based on capstone™ company data and is suggested for implementing at economic analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com