Sentence examples for modeling formulas and from inspiring English sources

Consequence modeling formulas and an objective function are codified in an optimizer package (MATLAB) and to accomplish the optimization process a process simulator (called HYSYS) is coupled with this package.

The difference between the permittivity calculated using the proposed modeling formula and the actual measured permittivity ranges from 0.2%to2.6%6%.

They verified the obtained modeling formula via numerical testing and simulated a model described by a dike curvature and a density compaction.

The main advantages of the model tree algorithms are: (a) they output relatively simple mathematical models (formulas) and (b) are more convenient to develop and employ compared with other soft computing methods.

Computer models, formulas and equations exist across many industries and sectors.

Leaders noted a wide range of outcomes, including peer-reviewed publications; external grant applications seeded by their team's research; data collection; conference presentations; public policy reports and recommendations; various prototypes and products; educational materials and trainings for community groups; and scientific models, formulas and algorithms.

Therefore, raw ultrasound values were converted to z-scores using normal values which were acquired from published healthy populations [25, 26] and a new healthy population (see Additional file 1: Table E2 for the regression model formulas and Additional file 1: Table E3 for the characteristics of the new healthy control population).

Table  3 summarizes subgroup model formulas and averaged model parameters.

More details of the model for a low ovarian response and application are given in the Supplementary data (see Supplementary text 'Model formulas' and Supplementary data, Table SII).

More details of the model for a high ovarian response and application are given in the Supplementary data (see Supplementary text 'Model formulas' and Supplementary Table SI).

mxtrmod executes mixture models, taking as inputs response variable names, a model formula and a data object (a matrix of values with NA to indicate missingness or an ExpressionSet R object).