py_default_default_2.stdout

Gradient-Based Optimization Algorithms:
Starting point: [-1.  1.]
Starting function value: 4.000000
Momentum gradient descent converged in 3069 iterations
Adam optimizer converged in 1568 iterations

Final results:
Gradient Descent: x = [0.99248173 0.98498977], f(x) = 0.00005662
Momentum GD: x = [0.99999888 0.99999776], f(x) = 0.00000000
Adam: x = [0.99999889 0.99999778], f(x) = 0.00000000
True minimum: x = [1, 1], f(x) = 0