Sentence examples for computing sensitivity from inspiring English sources

This paper describes a forward algorithm and an adjoint algorithm for computing sensitivity derivatives in chaotic dynamical systems, such as the Lorenz attractor.

Using the fact that the considered regression method is based on ANOVA decomposition, we introduced a new direct method for computing sensitivity indices.

Three numerical examples illustrate the accuracy, efficiency, and convergence properties of the proposed method in computing sensitivity indices derived from three prominent divergence or distance measures.

Both simulators have a built-in functionality of computing sensitivity of data to reservoir parameters using the Adjoint-State approach.

Another utility of the next generation matrix is the ease of computing sensitivity and elasticity values of the matrix elements and of the model parameters [31], [33], [40].

A dynamic programming algorithm for computing sensitivity for multiple seeds is given in [ 15].

There are many algorithms available for computing sensitivities.

The sensitivities are computed by using the regression models, which overcomes many limitations of the conventional methods of computing sensitivities.

In this paper we describe two variational methods for computing sensitivities.

Next, we solve a least squares problem using this representation; thus, the resulting solution can be used for computing sensitivities.

A fast and accurate solver for the general rate model is extended for computing sensitivities that describe the impact of small parameter changes on the simulated chromatograms.