Using other optimization algorithms than the trust-region-reflective or Levenberg-Marquardt method used for the presented calibrations may affect computation times.
The numbers of animals, the depth of the pedigree, and the relationships between genotyped animals affect computation time.
In fact, it is possible to notice that, on Cluster 2, the absence of InfiniBand was heavily affecting computation since more time was spent in data transfer than iterating at the Boltzmann stencil, by far the most computationally expensive part of the algorithm.
A Cyber Physical System (CPS) is given by the integration of cyber and physical components, usually with feedback loops, where physical processes affect computations and vice versa.
With respect to use occurrences, we consider as a predicate use (p-use), a use of a variable associated with the decision outcome of the predicate portion of a decision statement e.g. if (x == 0 and as a computational use (c-use), a use of a variable that directly affects a computation and it is not a p-use e.g.
This affects the computation of the motion vector difference and hence affects the coding performance.
The attitude model of the GPS satellites affects the computation of measurement geometry through variations of the transmitter phase center location and carrier-phase measurement wind-up.
The performance difference among the cells makes a pure pack SOC estimation hardly provide sufficient information, which at last affects the computation of available energy and power and the safety of the battery system.
In the combinatorial optimization method based on the mixed-integer linear programming (MILP), integer variables are used to express the selection, numbers, and on/off status of operation of equipment, and the number of these variables increases with those of equipment and periods for variations in energy demands, and affects the computation efficiency significantly.
Note that the number of points K is not a parameter in the model but affects the computation, with a larger K producing more accurate but computationally more expensive approximation.
