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Such an optimization is shown to produce a significant improvement in the per-bit energy requirement for successful packet delivery.
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The results are compared with traditional analytical ones and the numerical optimization is shown to be an efficient design tool for both normal conducting and HTS current leads.
The use of online analytical tools (e.g., Raman spectroscopy) for a better process understanding and as tools for process optimization is shown.
The proposed optimization is shown to be globally convergent to the optimal grasping force.
The nonlinear optimization is shown to be the better way of determination.
Mathematical optimization is shown to be the best choice to reach accurate results in simultaneous approach.
This optimization is shown to achieve significant improvement in energy/instruction, and significant reductions in leakage power.
The proposed methodology is tested on a set of example problems and the influence of several simulated annealing parameters on the optimization is shown.
The result of optimization is shown in Fig. 7.
GP-based Bayesian optimization is shown in Algorithm 1.
Full description of the HSDBC algorithm for n-dimensional optimization is shown in Fig. 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com