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The least squares method minimizes the objective function which is the sum of squares of deviations of the actual and predicted direct runoff hydrographs.
The minimization of electrical distances between nodes is used to present the regulation efficiency, while the sum of squares of deviations (SSD) of real and reactive power reserve is used to present the regulation capability.
This consists of the ratio of the sum of squares of deviations from the mean image intensity (over the whole time series) due to the model to the sum of squares of deviations due to the residuals (SSQ ratio).
This consists of the ratio of the sum of squares of deviations from the mean image intensity due to the model (over the whole time series) to the sum of squares of deviations due to the residuals (SSQ).
This consisted of the ratio of the sum of squares of deviations from the mean image intensity (over the whole time series) due to the model to the sum of squares of deviations due to the residuals (sum of squares [SSQ] ratio).
The calculated predictive sum of squares of deviations (PRESS) values (see Table 12, last row) for 25 omitted compounds show that the LEO cross validation provides significant discrimination between the SBSP and empirical models.
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The objective function is to minimize the sum of the squares of deviation between the actual and the estimated direct runoff hydrographs.
Fidelity to monotonic test surfaces, as measured by sums-of-squares of deviations, depends on the distribution of the center point datum among the coefficients.
The moisture diffusivities of litchi were determined by minimizing the sum of square of deviations between the predicted and experimental values of moisture content of thin layer drying under controlled conditions of air temperature and relative humidity.
The constitutive equations were obtained by least squares minimization of deviations between the experimental variations of H and s and ones predicted by a simplified engineering model.
It penalizes modification as a square of deviation, i.e., f(x) = x 2. (4) Quantization table: The quantization table has crucial information about the compression ratio.
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