This Maple code performs steepest descent optimization to find the minimum of a function. It defines the function f(x,y)=x^2-y, initializes starting values for x and y, calculates the partial derivatives at each step, finds the steepest descent direction, takes a step in that direction, and repeats for 20 iterations, printing the current values and gradient at each step.