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The HFD monitoring method simulates an investor's real-world experience.
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The method simulates a flow on the network by calculating successive powers of the network adjacency matrix.
This method simulates a random walk on the network to compute the proximity between two nodes by exploiting the global structure of the network [ 18, 19].
A natural approach is to estimate (3) using a Monte Carlo method, simulating a large number of population replicates for one marker and one disease gene [ 8].
Essentially, this method simulates the accrual into a trial using a random number generator.
This method simulates the connection via a series of equivalent discrete springs.
Specifically, given a 3D model with constant thickness and known fiber orientation, the proposed method simulates the deformation of a model made of thick fiber-material.
Like the genetic algorithm method, simulated annealing maximizes an objective function like the sum-of-pairs function.
A method simulating fasted state and developed according to previous work was used in the study [ 6].
To implement a complex systems method for simulating an earthmoving operation using a cell-based model.
Finally, to test the control method, we simulate an IFGMSS mission in which the satellite runs in a sun synchronous circular orbit with an altitude of 300 km.
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