Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Zuqiang, X., Yong, N. and Qiulian, M. (2021) Research on Linear Approximation of Errors Such as Convex Contour Line of Self-Centering Steady Frame. Mechanical Engineering and Automation, No. 2, 34-39.

Article citations More>> Xie, Z.Q., Ni. Y. and Miu, Q.L. (2021) Research on Linear Approximation of Errors Such as Convex Contour Line of Self-Centering Steady Frame. Mechanical Engineering and ...

Indeed, unlike the most common linear approximation performed by the current literature and the numerical tools devoted to the power electronics design for addressing the limited information within ...

In this paper, the disjunctive and conjunctive lattice piecewise affine (PWA) approximations of explicit linear model predictive control (MPC) are proposed. Training data consisting of states and ...

This note describes a rational approximation for the error function which has been found useful in a subroutine as an asymptotic expression of improved accuracy.

linear_sum_assignment error in the object_detection.py guide #31461 Closed SangbumChoi opened on Jun 17, 2024 ...

We present a systematic study of the synergistic effects of popular approximations to Møller−Plesset perturbation theory through the second order (MP2). This work applies the density-fitting (DF) ...

For this purpose, several online sparsification criteria have been proposed to restrict the model definition on a subset of samples. The most known criterion is the (linear) approximation criterion, ...