Sentence examples for given set of values from inspiring English sources
For a given set of values, RMS is the square root of the arithmetic mean of the squares of these values.
First, this fleet design problem is formally described in a non-linear mathematical model, and a linear model is presented for the situation where frequencies are limited to a given set of values.
In a given set of values, an outlier corresponds to data that appears to be inconsistent with the remaining values.
We observe that, for a given set of values δk,n, (31) is a linear programming problem that can be solved by standard optimization tools.
This test evaluates if the median, for a given set of values (in our case, for each practice) is higher than a fixed value.
The curves associated with the first law efficiency (Fig. 3c) shows that a given set of values corresponding to the maximum efficiency exists.
For the NN models used for predictions, three types of neurons (or units) are defined: (i) input units, which are set to represent values within the time series, (ii) output units, which store the output values corresponding to a given set of input values and produce the results of the NN processing and (iii) hidden units, which keep the internal representation of the mapping.
To calculate the value of the objective function for the given set of parameter values and input-ICs, we then sum up 119 values of an indicator function that is 1 if the phenotype (viability or inviability) of the simulated strain is the same as the observed phenotype, and is 0 if the phenotypes are different.
We used estimates of R0 to calculate the transmission rate β for a given set of parameter values from Table 2. Reported R0 values for initial spread of the 2009 H1N1 virus lie in the range 1.4−1.6 in Mexico, 1.7−1.8 in the United States, and 1.25−1.38 in Ontario, Canada [ 10, 21- 24].
This means that even though it is not possible to precisely predict the long term behavior of the system in general terms, the model will still have great predictive value through simulations with a given set of parameter values.
For a given set of parameter values, prediction variability comes from differences in estimated r values.
