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When there are multiple jobs that need to be executed with diverse cluster configurations, the solution space of job scheduling is huge and manual job scheduling is inefficient and can hardly achieve the best performance.
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The method could be applied to various manipulator configurations and the solution provides the geometrical intuition effectively.
In a previous study, the optimal configuration of the solution distributor was determined based on flow visualisations to ensure a uniform distribution of the solution on the external surface of the tubes.
Compared to this configuration, the best solution with respect to CO2 emissions causes 59% emission and 75% cost of the reference configuration.
In this configuration, the sample solution droplet slowly slips downward along the tilted surface, allowing for the formation of highly ordered arrays of aligned 1D DNA filaments.
The proposed configuration also permits the solution of the inverse problem in the drying process by finding the optimal value for the electric field.
An analytical model (Section 4) and a simulation-based evaluation of its performance are provided, which helps us derive configuration guidelines of the solution depending on the scenario where it is deployed and the traffic conditions (Section 5).
Flow solution results are shown for two-dimensional flow over the NACA 0012 airfoil and for a two-element configuration in which the solution has been obtained through an adaptation procedure and compared to an exact solution.
Then we solve the optimal sequence problem in order to find the best sequence of configurations (using only those configurations that are in the solution of the covering problem).
Among the several configurations sampled, we adopted the solution with the highest surface complementarity and appropriate orientation relative to the membrane plane.
As additional complication, the configuration solution to the optimization problem is a local minimizer, so that solution may "jump" to a different minimizer under small changes in the data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com