Matrix.lua [ 2024-2026 ]

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

While the existing library supports basic arithmetic, a dedicated mapping function fills the gap for non-linear operations. matrix.lua

: Allows you to pass any anonymous function, such as function(val) return math.max(0, val) end (ReLU activation). : It fits the library's design of returning

: Extend it to accept multiple matrices of the same size, allowing for element-wise operations between them (like c[i][j] = f(a[i][j], b[i][j]) ). Implementation Concept : Extend it to accept multiple matrices of

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, ...)