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In terms of optimization, various metaheuristics have been proposed to the optimal chiller loading problem.
In terms of optimization, nonconvex problems appeared in CS can be divided into three classes: minimizing a nonconvex function on a convex set; minimizing a convex/nonconvex function on a nonconvex set; minimizing a convex/nonconvex function on a convex/nonconvex set with integer variables.
Distillation is probably the most studied unit operation in terms of optimization and control.
Simulation results show that the proposed algorithm outperforms the reference algorithms for planning RFID networks, in terms of optimization accuracy and computation robustness.
These systems are rarely assessed in terms of optimization of photoinitiator or UV dosage, with non-cytotoxic concentrations from literature deemed sufficient.
The problem is addressed in terms of optimization using concepts from economic theory and the proposed algorithm was designed to ensure asymptotic stability of the optimal solution.
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The results indicate that the rules generated are useful and promising in aiding optimization of the fluid dispensing process in terms of better optimization results and shorter computational time.
Posing the problem of inference in terms of an optimization problem allows us to draw on powerful tools in convex optimization and plays an important role in the gain in speed achieved by variational inference schemes, when compared to the Gibbs sampling scheme used in STRUCTURE.
This data is of great interest in terms of the optimization of basin infiltration monitoring.
Our results indicate that regulatory evolution can be understood in terms of tradeoff optimization theory.
Both far-field and near-field array problems are formulated in terms of convex optimization formalism.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com