Two examples of the maximum-likelihood (ML) trees generated using these regions are shown in supplementary figure S3, Supplementary Material online.
The maximum spanning tree is presented in Fig. 6 e. Fig. 6 Example of the maximum spanning tree construction: FSM describing mode changes (a), the correponding undirectional graph (b), first (c), second (d) and third (e) step of the Prim-Jarník's algorithm.
This section presents two examples of calculating the maximum spacing estimator.
Note that by using the inverse function of these functions, it is possible to determine the ILD (i.e. x value) at which a particular response strength, for example 50% of the maximum response (i.e. y value), occurred.
Using an analytical condition published elsewhere, we are able to show for the examples studied, that the maximum number of switches is two with one possible singular subsection.
For example, if the maximum number of sensors allowed is n s, the VQA should stop after the ⌊(n s −1)/3⌋ iterations, where ⌊·⌋ is the floor operator.
These constraints are embedded, for example, in the maximum values of lateral acceleration that can be imposed by those vehicles, which can be translated by the smallest curvature radius that the vehicle can perform in space.
For example, if the maximum size of the test cases is 15, the algorithm selects randomly one of the test cases with size equals to 15. Considering the factors, this experiment is a one-factor-at-a-time, and we may proceed the analysis between the techniques at each failure profile and between the levels at each technique.
For example, if the maximum number of trials without acoustic stimulation showing significant activation at the same time bin was one, it set P≤0.1.
In this dynamic optimization framework, the objective is to compute time varying control profiles, usually enzyme concentrations or the corresponding expression rates, so as to minimize a given cost function, such as the time needed to reach a given amount of product, subject to the system dynamics (the model) and algebraic constraints, for example in the maximum amount of enzyme available.
For example, at the maximum transmit power of 20.5dBm the two-supply class-G LD model underestimates the power consumption of the LD in[29] by as much as 44mW for ADSL2+ or 83mW for VDSL2 8b.
