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RO algorithms generate a sequence of sample-path (SP) problems and solve these SP problems iteratively using a nonlinear optimizer.
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IC50 values were calculated using a nonlinear regression curve fit.
Concentration response relationships were fit using a nonlinear regression.
Population pharmacodynamics was modeled using a nonlinear mixedeffect model.
Further, the traditional way to learn the parameters of a deep architecture is to minimize an objective function by computing the gradient over all the parameters using the backpropagation algorithm [14] with a nonlinear optimizer.
Utilizing the present fitting strategy, in conjunction with a nonlinear optimizer, a new set of reaction rate parameters improves the correlation of the model to experimental results.
The resulting optimization problem is usually very large and sparse and is solved using recent nonlinear optimizers based on the interior point method.
Kim et al. [ 166] studied the nonlinear behaviour of the cochlea using a 1D nonlinear model, which is represented by a nonlinear differential equation.
A sample design problem is included using a gradient-based optimizer.
Two surrogates are developed using a model-based optimizer to emulate the fuel properties affecting the spray development and gas phase ignition of a conventional jet fuel.
(9) Adjust parameters to fit model solution to data, manually or using an optimizer.
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