Visualize how algorithms minimize cost functions in complex 3D landscapes.
Training AI: Neural networks "learn" by sliding down a cost surface with millions of dimensions. Optimizers like Adam are essential to avoid getting stuck in local minima.
Control Systems: Finding optimal parameters for PID controllers or robotic trajectories often requires numerical optimization.