This project demonstrates a GPU-accelerated QR-based eigenvalue computation using NVIDIA's CUDA, cuBLAS, and cuSOLVER libraries. It performs repeated QR factorizations on a given matrix and ...

Abstract: The algorithm is a new approach for solving eigenvalue problem which is based on the P (p, q, w) rotation transform; it is the effective way for solving all the eigenvalues and eigenvectors ...

The goal of this paper was to write a linear regression on how parents height and other factors predict a child's height. This was done using a QR Iterative algorithm to calculate the principal ...

In chemistry, the properties of atoms and molecules can be determined by solving the Schrödinger equation. However, because the dimension of the problem grows exponentially with the size of the ...