IEEE

Secure parallel Outsourcing Scheme for Large-scale Matrix Multiplication on Distributed Cloud Servers

Abstract: Large-scale matrix multiplication is a computational bottleneck in various applications including artificial intelligence and machine learning. Given the time complexity of O(n 3) for matrix ...
note

Mathematical Understanding and Implementation of Principal Component Analysis (PCA) via Covariance Matrices [Python]

Step 3: Calculation of Eigenvalues and Eigenvectors This is the mathematical highlight of PCA. We perform Eigenvalue Decomposition on the calculated covariance matrix. For the matrix $$ {\Sigma}$$, we ...
GitHub

【保研岛】蓝桥杯Python冲刺课_课时1.py

如 r"this is a line with \n" 则 \n 会显示，并不是换行。 字符串可以用 + 运算符连接在一起，用 * 运算符重复。 Python ...
drugdeliverybusiness

Insulet launches enhanced Omnipod 5 algorithm, expands Abbott compatibility

The Omnipod 5 worn in a swimming pool. [Image courtesy of Insulet] Insulet (Nasdaq:PODD) announced today that it is rolling out new algorithm enhancements for its Omnipod 5 automated insulin delivery ...
IEEE

A Hardware-Efficient QR Algorithm and Its VLSI Architecture for Eigenvalue Decomposition of Symmetric Matrices

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 ...