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.
That is not a vast sum for the task ahead.
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.
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).
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}).
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.
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]).
To control for the overall temporal distribution of the TMS pulses, ITIs for rest blocks were defined as the sum of the ITIs used in task blocks plus a reaction and movement time sample drawn from probability density functions for these variables (Buch et al., 2010 and 2011).
In sum, the task of parameter estimation in the Rab5-to-Rab7 cut-out switch model leads to a 22-dimensional continuous minimization problem with 18 dimensions corresponding to model parameters and four dimensions corresponding to the initial values of the four system variables.
