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Solution: Grid Search

Explore the implementation of grid search for constrained optimization problems in machine learning. Learn how to define ranges respecting constraints, evaluate objective functions over grids, and identify optimal solutions using Python and NumPy. This lesson helps you understand practical optimization methods to apply in machine learning scenarios with constraints.

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Explanation

The objective function in the problem statement is a constrained optimization problem. If [a1,b1][a_1, b_1] ...