In the constrained optimization problem suppose that f is concave and G(θ) convex. Then every local optimum
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suppose that f is concave and G(θ) convex. Then every local optimum is a global optimum.
Another distinction we need to note is that between strict and non strict optima. A point x* A y is a strict local optimum if it is strictly better than all feasible points in a neighborhood S, that is,
It is a strict global optimum if it is ``simply the best,'' that is,
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