Matrix.lua [4K]

: 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 moves beyond standard arithmetic (add/sub/mul) to support any mathematical transformation. matrix.lua

: 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 : By integrating this into the core library,

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

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

-- Example: Apply a sigmoid function to all elements local sigmoid = function(x) return 1 / (1 + math.exp(-x)) end local activated_matrix = matrix.map(my_matrix, sigmoid) Use code with caution. Why this is a "Good" Feature