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Furthermore, we verify the effectiveness of the proposed methods by simulated experiments.
Yoshioka, et al., evaluated non-isothermal methods by simulated linear heating of drug substances in solution to predict drug stability (Yoshioka et al. 1987, 1988).
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In a numerical example from geotechnical engineering applications, we illustrate the practical application of our enhanced Material Point and DDMP Methods by simulating a cone penetration.
We further systematically compared two methods by simulating data 50 times.
We illustrate the method by simulated primary drainage in oedometer conditions, highlighting the deformation induced by partial saturation.
A continuous minimization method by simulated annealing [ 40] is used to optimize π, with the objective function being the logarithm likelihood of the alignment.
We test our method by simulating the motion of a cylinder moving in a viscous fluid both under forced oscillation, and when tethered to a spring.
We demonstrate the method by simulating data, with and without noise, from a number of biological models described by ordinary differential equations and then estimate the parameters via the proposed technique.
We study the accuracy, efficiency and robustness of our method by simulating Taylor Couette flow, flow induced by a relaxing balloon, flow past single and multiple cylinders, and flow around a flapping wing.
Then the effects of the relative thickness of airfoil on aerodynamic performance are explored, using the above numerical method, by simulating flows around airfoils of different relative thicknesses (12%, 14 %, 16 %, 18, as well as different locations of the maximum relative thickness (x/c = 22%, 26%, 30%, 34%), as a lowellynolds number of 5 × 105.
Genetic algorithm (GA) is a method by simulating Darwin's theory of natural evolution to search for the optimal solution.
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