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The model uses linear functions for horizontal velocity and tracers on tetrahedra, and for surface elevation on surface triangles.
The model uses linear threshold nodes.
However, the LR model uses linear combinations of variables, so it is not adept at modeling grossly nonlinear complex interactions [ 8].
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We also reanalyzed the latter model using linear regression to check for linearity of relationship between IGF-1R expression and MP classification.
Finally, changes from baseline will be assessed by a linear mixed-effects model using linear contrasts.
FSA is then trained with the training set and it builds a model using linear SVM.
The combined model was statistically equivalent to the model using linear acceleration alone and both of these models were better than rotational head acceleration alone.
We can do this by fixing the parameters of the existing model using linear constraints, where is the jth parameter value of the existing model.
A key finding is that model likelihood using individual non-linear functions for heart rate, systolic blood pressure, age and creatinine was significantly improved over a model using linear functions for these factors.
Compliant impacts can be modeled using linear viscoelastic constitutive models.
Both the geosynthetic and the facing block were modeled using linear elastic model.
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