Sentence examples for matrix inversion problem from inspiring English sources

This leads to a 4 4 matrix inversion problem, which is computationally demanding to solve.

Without solving matrix eigenproblem or matrix inversion problem, IOCA learns incrementally from continuous data stream with low computational cost.

This simplifies the time domain (multi-dimensional) matrix inversion problem to bin-by-bin separation in the frequency domain.

In this paper, we firstly illustrate the ZD method and the GD method by employing them separately to solve the time-varying matrix inversion problem.

In this study, Slepian spherical functions up to degree 360 that modeled 1° and longer-wavelength anomalies were established using the least squares matrix inversion problem given by {mathbf{Ax}} = {mathbf{b}}.

Moreover, by exploiting the design parameter γ>1, superior convergence can be achieved for the CVZNN model to solve such complex-valued time-varying matrix inversion problems, as compared with the situation without design parameter γ involved (i.e., the situation with γ= 1).

Nevertheless, some authors have approached the large SV-matrix inversion problem, by using the Singular Value Decomposition (SVD [1]) directly on the blur matrix.

In this paper, a new complex-valued recurrent neural network (CVRNN) called complex-valued Zhang neural network (CVZNN) is proposed and simulated to solve the complex-valued time-varying matrix-inversion problems.

The new algorithm improves computational efficiency with respect to evaluation of the high degree polynomial functions of matrices, having an advantage of splitting the matrix polynomial inversion problem into a sum of linear problems that can be solved in parallel.

The advanced ones comprise the solution of linear systems of equations, matrix inversion, eigenvalue problems, and singular values problems, among others.

For smaller problems matrix inversion by Gauss' method is sufficient.