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This will improve the time to solution for simulations with more than 104 particles.
Hence, the meso-scale simulations with more detailed material properties would provide interesting results for comparison.
But it is also abstract enough to be integrated in further simulations with more components.
This solution is used to define scenarios for 3D numerical simulations with more complex geometry and boundary conditions.
With selected examples, many benefits of evolutionary strategy are shown by means of simulations with more than 100 trials.
The implementation of the algorithm targets large parallel computer platforms to perform simulations with more than 10 million spheres.
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As a first step, these specific scenarios are evaluated and in the end results for simulation with more users (scenario I) are given.
The solution must become more sophisticated because the requirement of detailed simulation with more operation processes, uncertainties and time-varying characteristics will increase more variables and enlarge the dimensions of problems in the ADS planning.
Based on this consequence, it is enable us to do simulation with more computational efficient using 1 × 1 array of Si3N4 SWS as a simulated unit cell with engineering acceptable accuracy.
Based on the simulation, with more cell areas, better TPV cells, and improved insulation design, the system powered by a fuel pellet equivalent heat source is expected to reach an efficiency of 7.8%.
A complementary body of work on network MIMO focuses on the performance evaluation of specific system architectures and signal processing techniques, usually by numerical simulation, with more realistic models for signal propagation and cochannel interference (accounting, at least, for distance-based power loss and shadow fading effects).
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