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We consider a class of scheduling problems of n weighted tasks on M identical, and parallel processors with an objective of minimizing the sum of the tasks weighted flow-times.
In this paper we consider the problem of semi-online scheduling on two uniform processors, in the case where the total sum of the tasks is known in advance.
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This simple example is based on CPM logic; it uses single-point task time estimates and assumes that the completion time for the project is the simple sum of the task times along the critical path.
But we do not propose them as a panacea, because they make sense only for those situations where the differentiation and integration required by the sum of all the tasks make a middle approach necessary.
However, in the event that two or more tasks were completed simultaneously, making it difficult to distinguish time per task, a total vaccination time will be determined for clients, constituting a sum of those tasks.
Third, maximum entropy policies are composable, that is, two or more policies can be combined, and the resulting policy can be shown to be approximately optimal for the sum of the constituent task rewards.
That is not a vast sum for the task ahead.
Stroop A is the sum of all four tasks; Stroop B is the sum of the first two tasks and an indication of performance in key lower-level skills (i.e., reading, naming).
Total wellness was determined by calculating a total percentage of the sum of the five life tasks of spirituality, work and leisure, friendship, love, and self-regulation.
If all the tasks of job J i are completed, then the utility gain of this job is the sum of the utility of the tasks included in J i and the extra utility σ i, i.e. (u(i)={sum nolimits }_{j=1}^{n_{i}}u_{ij}+sigma _{i}).
The final score is the sum of the weights of the tasks for which the individual has difficulty, multiplied by the degree of supervision required and the weight assigned to that activity (for additional information, see [ 25]).
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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