Abstract: This article proposes a novel hardware-efficient QR algorithm and its VLSI architecture to compute the eigenvalue decomposition (EVD) of symmetric matrices. By replacing the computationally ...
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 ...
Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization ...
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 ...
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