Data Processing

Implments common matrix math operations for small matrices.
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.

Author: Micah Mundy

Maintainer: Micah Mundy

Read the documentation


This library is compatible with the avr, megaavr, sam, samd, nrf52, stm32f4, mbed, mbed_nano, mbed_portenta, mbed_rp2040, renesas architectures so you should be able to use it on the following Arduino boards:

Compatibility Note

Note: while the library is supposed to compile correctly on these architectures, it might require specific hardware features that may be available only on some boards.


To use this library, open the Library Manager in the Arduino IDE and install it from there.