Data Processing
TinyMatrixMath
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.
Go to repositoryThis library is compatible with the avr, megaavr, sam, samd, nrf52, stm32f4, mbed, mbed_nano, mbed_portenta, mbed_rp2040, renesas architectures.
Compatibility with an architecture means that code can be compiled and uploaded to a board from the list below:
Samd