Sentence examples for vector of the model from inspiring English sources

The output state vector of the model is used to monitor the trajectory of moving objects and the moving surfaces.

Once compiled, use within MATLAB is: where params is a vector of the model parameters [nu, mu, Q, tau], M is the number of phases, kh is a vector of count frequencies from 0 K, K is the maximum count, LL is the log-likelihood given the parameters and P is a the probability vector for the observed counts given the parameters.

where D = {d 1, …, d K } is the set of model parameters, d k is the model parameter vector of the model for the k th cluster, Y k contains the compressive measurements of the CS tasks in the k th cluster, and p k (Y k |d k ) represents the likelihood function of Y k.

Let X 1,X 2,……,X n be a random sample from the Kumaraswamy transmuted Pareto distribution with observed values x 1,x 2,……,x n, and γ = (α,θ,λ,a,b) T be the vector of the model parameters.

Data pre-processing: the vector of responses, the model matrix for the fixed effects as well as the smoothers are determined using functionality from package mgcv.

The following steps were followed to determine f L (y L ): Thus, the main lumping formula that was used to simplify the 62-state coagulation model was (as per Li and Rabitz): For linear systems, the lumping matrix M can be used to transform the parameter vector of the original model (K) to the parameter vector of the lumped model (K L ).

In this section, we use M∗ to denote the proposed model, use M t ) to denote the current model, use ϑ ∗ to denote the parameter vector proposed for the model M∗, and use ϑ (t ) to denote the parameter vector of the current model.

The vector form of the model is (16).

First, the overhanging points on the part surface are identified using the normal vector direction of the model surface.

This jig allowed for a range of simulated net load vector angles of the model, and the X-Y stage ensured proper alignment of the servo-hydraulic actuator with the anatomical long-axis.

A matrix recovery based on the average (vector) gradient of the model parameters with respect to the explanatory variables was, in the balance, better suited for the purpose of estimation of model errors in tree-level biomass estimates.