Rosenbrock Function

The Rosenbrock function is a mathematical formula used to test optimization algorithms, which are methods designed to find the best possible solution. It creates a landscape with a deep, narrow valley that leads to the global minimum (the lowest point). When used in calculations, the goal is to find this lowest point efficiently. The function's shape makes optimization challenging, as algorithms must navigate a curved valley to reach the optimal solution. It’s often used as a benchmark to evaluate how well different optimization methods perform in complex, real-world problems.