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The harder the objective is to accomplish, the better it is to roleplay.
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The vertical shading represents where the subjective ratings were harder than the objective measures, and the horizontal shading represents where the objective measures were harder than the subjective ratings.
The general one-machine scheduling problem is strongly NP-Hard when the objective is to minimize the weighted number of late jobs.
Hybrid flow shop (HFS) problems are NP-Hard when the objective is to minimize the makespan [Two-stage hybrid flowshop scheduling problem, Oper. Res. Soc. 39 (1988) 359].
"There was more than 4,500 metres of climbing, it was a very hard day and the objective was to remain on the wheels and stay in control".
P A is a very hard problem, since the objective function and the rank-one constraints are non-convex functions.
We prove that it is #P-hard to calculate the objective function exactly and propose two Monte-Carlo methods to estimate it efficiently.
In this paper we consider a problem motivated by a real-world environment: scheduling the charging periods for a large set of electric vehicles, subject to a set of hard constraints, with the objective of minimizing the total tardiness.
Also, the model considers some hard and soft constraints, and the objective function is set in such a way that soft constraints are satisfied as much as possible.
Presently, the program is working hard to achieve the objectives: to reduce morbidity and mortality resulting from the six EPI target diseases.
But here are the hard, objective facts.
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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