Matrix.lua Apr 2026

: It prevents users from writing repetitive nested for loops, making the code cleaner and less error-prone.

This feature applies a given function to every element in a matrix, returning a new matrix with the results. matrix.lua

: By integrating this into the core library, you can ensure it handles table indexing in a way that minimizes overhead, which is a common bottleneck for large matrices (e.g., 250x250 or larger). : It prevents users from writing repetitive nested

A valuable feature for a matrix.lua library—such as the one found on GitHub by davidm —is a robust system. This allows you to apply complex logic across every cell of a matrix efficiently, which is critical for tasks like neural network activation or physics simulations. Feature: matrix.map(mtx, func, ...) A valuable feature for a matrix

: It fits the library's design of returning a new matrix rather than modifying the original, maintaining "immutability". davidm/lua-matrix - GitHub