Sentence examples for approximating functional from inspiring English sources

So we modelled the effect of auxin on PIN1 expression by approximating functional forms, in what follows.

Utilizing interaction information of features across identified segments allows approximating functional dependencies between molecular processes, finally leading to a molecular process model representation of the input gene set.

The method is developed here for an n -dimensional system and its relationship with the distributed approximating functional (DAF) approach is investigated.

To apply Ekeland's variational principle we introduce the following approximating functional: I_{j} ( {mathbf{u}} ) = min_{(c,y^{l}) invarepsilon}sqrt {sum_{l=1}^{r}{biglvert c^{l} - varepsilon^{l}_{j} - ES^{l} ( x,u,t )bigrvert ^{2}} + sum_{l=1}^{r} biglvert y^{l}- {Eq^{l}x^{l}(t_{l})} bigrvert ^{2}}.

For instance, Hoffman et al. give a distributed approximating functional method to solve Burgers' equation for relatively large Reynolds numbers in [6], where a nonlinear transform is applied to generating a nonuniform mesh so that tiny step sizes are given near the boundary to catch the satisfying approximation of shock waves.

We estimated the capacity for PSII light capture per cellular protein investment as the product of σPSII (nm2 PSII−1) and D1 per µg protein (see below), assuming that under acclimation to low growth light, D1 protein content closely approximates functional PSII content [40].

In the first one, the J-GL-C is employed for approximating the functional dependence on the spatial variable, using (N−1) nodes of the Jacobi Gauss Lobatto interpolation which depends upon two general Jacobi parameters.

The major finding was a time-dependent decrease in PaO2during PLV with perfluorocarbon doses approximating the functional residual capacity of the animals [ 1].

Most numerical approaches address the problem either by computing local sensitivity indices (partial derivatives of the solution with respect to the input variables) [ 5, 6], by solving the ODE for a statistically large ensemble of random or quasi-random input values [ 7- 9], or by approximating the functional relationship of the input and output [ 10- 12].

The surrogate model that approximates functional dependency of the first fundamental frequency of the quadrotor UAV structure on the mentioned parameters is developed.

Particularly, the LCHFD was used for algebraic demonstration, but the discussion makes it clear that any approximate functional can be used in this recipe.