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The PAG using the optimal schedule of the adder graph of Figure 1a is shown in Figure 1c.
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If T OPT f > T OPT, then we can use the optimal schedule on F G ′ to construct a new schedule for F G with a smaller period.
As S Du has been able to use more energy than the optimal schedule until t s + m, the optimal schedule cannot have run into an energy constraint at t s + m, hence the rise in the power can only be due to a data constraint at t s + m, i.e., all the bits arrived have been transmitted by the optimal schedule until t s + m.
This is not surprising as we have not attempted to use these drugs in the optimal schedule for antitumour activity.
However, the use of vitamin prophylaxis permits higher doses of pemetrexed to be safely used, creating some uncertainty about the optimal schedule and dose of this agent in the post-vitamin era.
Then, we study the general aligned jobs and obtain an O(n2) algorithm to compute the optimal schedule by using the algorithm for the common arrival time case as a building block.
By transforming the fuzzy chance constraints into their equivalent forms, traditional optimization algorithms can be used to solve the optimal scheduling problem.
Use of imaging to determine the optimal schedule of a targeted agent or for monitoring drug activity according to the class of therapeutic agent has received very little attention and data are limited.
We first prove that some simple algorithms can be used to find the optimal schedules for some special cases.
The certification is viewed as the ability to guarantee with a predefined high probability the success of the therapy over a finite horizon despite of the unavoidable high uncertainties affecting the dynamic model that is used to compute the optimal scheduling of drugs injection.
That is, sequential treatment using 5-FU followed by sorafenib seems to be the optimal schedule for combined administration of the two agents.
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