Function gradientDescent

Performs gradient descent optimization to minimize a cost function.

Algorithm:

1. Start with initial parameters
2. Compute gradient at current point
3. Move in negative gradient direction (steepest descent)
4. Use line search or fixed step size to determine step
5. Repeat until convergence or max iterations

Convergence criteria:

• Gradient norm < tolerance
• Step size < tolerance
• Maximum iterations reached