How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
GitHub

Improving Blocked Matrix-Multiply Performance

In this assignment, you'll be investigating the performance impacts of different cache architectures and different algorithm designs on matrix multiplication. The goals of this assignment are: Show ...
University of California

Researchers run high-performing large language model on the energy needed to power a lightbulb

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.
IEEE

Comparison and Applications of Multiplying 2 by 2 Matrices Using Strassen Algorithm in Python IDLE, Jupyter Notebook, and Colab

Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...
C&EN

Matrix Assisted Ionization: New Aromatic and Nonaromatic Matrix Compounds Producing Multiply Charged Lipid, Peptide, and Protein Ions in the Positive and Negative Mode Observed ...

Department of Chemistry, Wayne State University, 48202, Detroit, MI, USA Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all ...
thetechedvocate.org

How to Solve Matrices

A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. They are a crucial part of linear algebra and have various applications in fields like engineering, ...
InfoWorld

What is NumPy? Faster array and matrix math in Python

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...