Sentence examples for square objective from inspiring English sources

The Laplace integral in the flotation kinetic equation is approximated by the Lobatto quadrature formula and the cumulative distribution is evaluated by optimizing a least square objective function.

The design is formulated as a multi-constrained optimization problem with a least square objective function to minimize structural shape errors.

The chi-square objective function was minimized to adjust model parameters.

We present a theoretical analysis of the way a Least-Square objective function and a Levenberg Marquardt minimization algorithm are affected by the introduction of reciprocal information in the inverse problem.

The operator equation is reduced to a minimization problem via a least-squares objective functional.

The advantage of RIFT over the commonly used least-squares objective function is demonstrated.

In this paper the shape gradient of the least-squares objective functional is derived with the help of the shape sensitivity analysis and adjoint problem method.

We also formulate the optimal weighting to be used in the least-squares objective in the covariance estimation problem to ensure minimum variance in the estimates.

The parameter identification is performed by the minimization of the ordinary least squares objective function comparing the measured temperatures to the response of a direct model function of thermophysical parameters.

Let us now compute the discrete analogue of energy least-squares objective functional.

As we see in section 2.1, the FCM algorithm is based on a least squares objective function.