TinyMatrixMath

Implments common matrix math operations for small matrices.

Author
Micah Mundy
Website
https://github.com/m516/TinyMatrixMath
Category
Data Processing
License
MIT
Library Type
Contributed
Architectures
avr, megaavr, sam, samd, nrf52, stm32f4, mbed, mbed_nano, mbed_portenta, mbed_rp2040, renesas

A modern-style C++ library for implementing common matrix math operations for small matrices, optimized for devices with limited resources. Matrices are currently 2d float arrays. Matrices with up to 255 rows and 255 columns are supported (if enough resources are available to store them). Consider using Eigen for larger matrices and faster implementations.

Downloads

Filename Release Date File Size
TinyMatrixMath-0.3.0.zip 2024-01-14 165.54 KiB
TinyMatrixMath-0.1.0.zip 2023-05-19 7.93 KiB