High-speed response coincides with minimising the value of r.
As before, high-speed response coincides with minimising the value of r.
Global optimisation algorithms can then be used to find model parameter values that minimise the value of E T, i.e. minimise the difference between the model outputs and the data.
Artificial bee colony algorithm outperforms tabu search in minimising the number of workstations while tabu search shows a better performance in minimising the value of lexicographic bottleneck objective function.
It was most convenient to minimise the values of relative deviations, i.e. those which consider also the values of estimated parameters as expressed for example in percent.
On the other hand, the number of plots included in V will increase directly with the value chosen for M, so minimisation of the value of M will minimise the sampling effort.
Given an input variable x, a response variable y and some samples ({y_{i},x_{i}}^{N}_{i=1}), the goal is to obtain an estimated or approximation (hat {F}(x)), of the function F ∗(x) mapping x to y, that minimises the expected value of some specified loss function (L y,F x)) over the joint distribution of all (y,x) values.
Hence, it can be said that the time-domain decision criterion minimises the mean value of the time-domain correlation function obtained from (24).
Local linear methods can also be used, with the estimate of the first derivative at s defined by the value of β which minimises ∑ i { z i − α − β (s − s i ) } 2. In both cases, estimates z ˆ a (s ) and z ˆ b (s ), based on data above and below s, can be expressed as w a z and w b z where w a and w b are matrices of weights and z denotes the vector of observed depth values.
Minimising the absolute value of the sum of the partial autocorrelation function was used to assess the appropriateness of the degree of smoothing.
