Sentence examples for cross factor from inspiring English sources

When using the DE algorithm for optimization, the selection of the scaling factor (F) and the cross factor (CR) is very important.

The complexity cross factor for process unit U i with respect to unit U j is defined as the normalized construction cost per barrel for the respective units: {text{CF}}left( {U_{i},U_{j} } right) = frac{{C(U_{i},Q_{i} )/Q_{i} }}{{C(U_{j},Q_{j} )/Q_{j} }}.

If the complexity cross factor for the hydrocracker and refiner is 2.2, the construction cost of a 40-Mbpd reformer built in the USGC in 2012 is estimated to be $319 million: Cleft( {text{Reformer}} right) = left( {frac{1}{2.2}} right), left( {frac{{$10000;{text{million }}}}{{57;{text{Mbpd}}}}} right)left( {40;{text{Mbpd}}} right) = $319 {text{millionn}}.

Items with factor loading of less than 0.6, or with cross factor loadings greater than 0.35 were removed from further analysis.

Complexity factors and cross factors are introduced, and the methodologies used in their measurement are reviewed.

Cross factors for the sample data and OGJ factors indicate a slightly smaller range of variation (Table 5).

However, it is obvious that complexity factors can be defined with respect to any two process technologies, for example, hydrotreating or catalytic cracking, in what we refer to as complexity cross factors, or more simply cross factors.

Cross factors can be inferred from known complexity factors, if available, since the distillation normalization cancels out in the numerator and denominator terms: {text{CF}}left( {U_{i},U_{j} } right) = frac{{{text{CF}}(U_{i} )}}{{{text{CF}}(U_{j} )}}.

A nested and crossed factor design and the discriminant analysis were used for analyzing the agronomic trait variations.

Many biological data sets, from field observations and manipulative experiments, involve crossed factor designs, analysed in a univariate context by higher-way analyses of variance which partition out 'main' and 'interaction' effects.

However, a crossed factor can be tested independently within a level of the other factor [23] and probabilities combined in meta analysis [24].