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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.
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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.
High-speed response coincides with minimising the value of r.
As before, high-speed response coincides with minimising the value of r.
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.
Instead they formulate an empirical cost function which they evaluate over a large number of random points, accounting for varying parameter values, and declare the set that minimises the value of the cost function as the optimal parameter set.
The parameters can be estimated by minimising a suitable distance between the values of the densities estimated on the sections of the (closed) real sample and the densities estimated on the sections of the simulated germ-grain model.
The method of least squares finds the values of a and b that minimise the sum of the squares of all the deviations.
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.
The values of those estimated parameters were then changed to minimise the objective function value.
Minimising the differences between the modal characteristics yields an estimation of the values of the mechanical parameters describing the hysteretic behaviour.
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