Sentence examples for classical sensitivity from inspiring English sources

Then, using the metamodels, classical sensitivity analyses are made for each TIB output.

The optimisation problem is first solved using classical sensitivity and density filtering.

The tools from classical sensitivity analysis are outlined, and described with application to the unraveling of design principles in complex biophysical networks, particularly with regard to robustness.

In fact, classical sensitivity analysis fails to account for factor interactions and does not offer a full probabilistic investigation of system states; yet, classical one factor sensitivity analysis provides misleading conclusions.

It is important to note that this study is not a classical sensitivity analysis for assessing systematically the responses of models to changes in input data and model parameters (e.g. [18 21]), but a model variability analysis.

In the paper "Sensitivity-based Pole and Input-Output Errors of Linear Filters as Indicators of the Implementation Deterioration in Fixed-Point Context", a classical sensitivity analysis for the finite precision implementation of linear filters is extended and improved to consider the exact fixed-point format of the coefficients.

The stretching-based runaway criteria are applied in archetypal systems, such as the Semenov model, and compared with classical sensitivity-based criteria and with other detection methods derived from dynamical system theory.

This method, based on classical shape sensitivity analysis, leads to a systematic procedure to calculate the topological derivative.

A classical mixed sensitivity minimization approach and a model matching formulation are compared with the goal to design a linear parameter-varying augmented state feedback control law for a laboratory-scale control moment gyroscope.

However, no differences were found in classical insulin sensitivity indexes (HOMA index, ISIcomp, MCRest and Gutt-index) between diclofenac and placebo treated subjects in this study.

While classical parametric sensitivity analysis provides a powerful tool to understand the parametric dependence of biological behaviour, its suitability in inferring mechanisms of dynamic behaviour has not been properly addressed.