In this paper, the method for solving square fuzzy linear systems, when a matrix associated to fuzzy linear system is an EP matrix will be shown. Numerical example will be presented to illustrate the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

We'll look at how to use SciPy to numerically solve linear systems corresponding to square matrices. We'll also look at how to implement row operations (Gaussian elimination). First we import the ...

From those, we can say that quantum annealing is promising for solving linear equations even for ill-conditioned systems and when the number of rows far exceeds the number of columns.

Abstract Can linear systems be solved faster than matrix multiplication? While there has been remarkable progress for the special cases of graph structured linear systems, in the general setting, the ...

The initial version of this code uses Trilinos libraries and functions to read a system matrix A.mtx and RHS b.mtx (in MatrixMarket format) supplied by the user and then solve the system using Belos ...

More recently, in order to solve a set of multi-linear equations using tensor inversion, a specific notion of tensor singular value decomposition and eigenvalue decomposition was introduced in Brazell ...