The phrase "optimal in time" is correct and can be used in written English.
It means something is the best or most efficient option with regards to time. Example: "The new software algorithm is optimal in time, reducing processing time by 50% compared to previous versions." In this example, the phrase is used to describe the efficiency of the software in terms of time.
Earliest delivery routing is optimal in time, but not in hop count.
Note, that up to present only one human-designed solution was known which is optimal in time.
The MH method achieves the lowest transmission counts of all the methods; however, it is not optimal in time, therefore it delivers packets later than the other methods.
Therefore, in order to test the convergence rates in temporal variable, we take (h=O k^{3/2})) and (h=O k^{3})), respectively, so that the errors in the (L^{2}), (L^{2}(L^{2})), (H^{1}), and (L^{2}(H^{1})) norms would be optimal in time.
The theoretical analysis and simulation results prove that the algorithm scales well with the network size, and can obtain near-optimal in-time delivery of pieces.
Therefore, this study presents an effective procedure that adopts robust design techniques and the accelerated stress test to determine the optimal burn-in time and burn-in cost.
They found that the (time-dependent) optimal control solution that maximizes S L is switching in u i from 1 to 0 at an optimal point in time (dichotomous bang-bang strategy, SWT = switching time).
Through this, we can gain insights into how students relate to individual topics and identify optimal points in time for early, targeted, intervention.
We suggest an online algorithm that decides how much to buy at the optimal point in time and experimentally explore its decision making.
This novel approach may open new possibilities of developing strategies for intervention in tumour progression, since it allows the determination of the optimal window in time for successful treatments.
The matrix is filled following a post-order traversal of P and H. Bansal et al. provided an algorithm that finds the cost of one optimal reconciliation in time and space O(n m) [ 13].
