This program is designed for solving linear system of equations in the format of Ax = b where A is nxn square matrix and b is nx1 vector which consist of real valued elements. Machine Precision(eMACH) ...
3. Iterative Methods for solving the EigenValue Problem: Iterative Methods known for solving the eigenvalue problem are: Rayleigh Quotient Iteration: finds the eigenvector and eigenvalue pair closest ...
This paper describes a new method of QR-decomposition of square nonsingular matrices (real or complex) by the Givens rotations through the unitary discrete heap transforms. This transforms can be ...
ABSTRACT: In computing the desired complex eigenpair of a matrix, we show that by adding Ruhe’s normalization to the matrix pencil, we obtain a square nonlinear system of equations. In this work, we ...
Abstract: Sparse matrix-vector multiplication (SpMV) is the most important kernel in parallel iterative method for solving modified equation in large scale power system power flow calculation. In this ...
Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...
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