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Exact(2)
This organization by approximation classes allows the definition of metrics to measure the approximation between bnodes.
For the steady state solution we measure the approximation error in a few cases where the exact solution is known.
Similar(58)
The change regions may provide a way of measuring the approximation between the two sets representing the bnodes.
Based on the measures given in Definition 5, we redefine the approximation between two bnodes b i and b j in Definition 6. γ Ainf(X i,X j ) provides a way of measuring the percentage of identical predicates considering the mapping between X i and X j, while γ Asup(X i,X j ) provides a way of measuring the approximation between the predicates of X i and X j.
The RMSEA measures the approximation error in the model and values below 0.05 are suggestive of an excellent fit.
When they are not independent, the possible "contradiction" serves as a measure of the approximation of the solution.
The law of large numbers, however, does not provide a measure of the approximation error which is usually of more interest to practitioners.
We introduce a measure for the approximation error g as the deviation from Equation 20. (23) D [0, p ]· D [ L, E ] - D [ L, p ]· D [0, E ] = g The error g(t) quantifies the distance of the diagonal reaction (Equation 21, Figure 5) from equilibrium.
We considered this latter measure the closest approximation of average throughput across the whole country.
We will show how to obtain, during holes measuring, the best measure, so that the approximation error is minimized.
where λ r, r=1,2,…,R, are regularization parameters and the least squares loss function 1 2 ∥ L − ∑ r = 1 R C ( r ) F ( r ) X ( r ) ∥ F 2 measures the labeling approximation error.
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