In this article the relations between the mathematical theory of function approximation, the maximum-likelihood method, the measures of optimality and the identification of parameters are presented.
By using two voltage approximation lines (VALs) to approximate the maximum power point (MPP) locus, a low-complexity analog MPPT circuit can be developed.
In this paper, we propose an adaptive expectation maximization (EM) method based on the scaled t-distribution for B-spline estimation, where automation is achieved for the best approximation with the maximum probability density.
First, we investigate the impact of the three message density approximation considered in Section 4. As evidenced by Figures6 and7, codes designed by using the mode-matched approximation gives the maximum output mutual information from a SCF node.
The length designations given the jumps don't refer to their height, but rather to an approximation of the maximum distance a jumper might safely travel off the jump.
When n is big enough, GAD is an appropriate approximation of the maximum displacement.
Finally, a theoretical approximation to the maximum water injected distance reached into rock mass from the SPI is suggested.
We compare DCW with other algorithms to verify that the DCW is able to provide a relatively close approximation to the maximum throughput.
In our work, we try to use UKF which is more accurate than EKF, what is more, in the method of UKF, the approximation of the maximum term of Taylor expression and the calculation of the Jacobi matrix are avoided.
A new scalable approximation to the maximum number of neighbors, explored at each node, is developed; thus reducing the computational time for large data while eliminating the need for user-defined (heuristic) parameters in the existing equation.
