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In order to investigate the influence of the gas pressure and ion collision model on the dynamic behavior of plasma sheath in the PIII process, we have used the fluid model of plasma and numerically solved time-dependent equations of a pulsed magnetized plasma through an implicit finite difference scheme.
Figure 6 shows the optimization processes and solving time.
We analyze solvers' limitations, solving time, and memory consumption.
We confirm this reduction in solve time with numerical experiments.
As a consequence, the connection between puzzle time, solving time and effort is loose.
Many research publications have been devoted to numerical techniques for solving time fractional diffusion-wave equations.
However, we found very large variance in the puzzle solving time for hash function-based puzzles.
The variance in the puzzle solving time needs to be minimized to avoid such a problem.
We present anr-adaptive finite element method for solving time dependent partial differential equations.
The puzzle solution verification time is much shorter than the puzzle solving time as explained in the section.
Incorporating optimization in the simulation algorithm decreases the solving time and brings faster convergence of the objective values.
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CEO of Professional Science Editing for Scientists @ prosciediting.com