When I first heard the term backtracking, it sounded like a complicated algorithm reserved for computer scientists. After spending the last couple of weeks learning it and implementing it in a Tetris Optimizer project, I realized something surprising:
Backtracking is simply the art of making a decision, checking whether it works, and if it doesn't, undoing it and trying something else.
This article explains backtracking using a practical project instead of abstract examples.
The Problem
Imagine you have several Tetris pieces (tetrominoes), and your goal is to fit all of them into the smallest possible square.
