Unconstrained Optimization
In unconstrained optimization, we minimize an objective function that depends on real variables, and these variables have no restrictions. where x∈ℝnx \in \mathbb{R}^n is a real vector with n≥1n \ge 1 components and f:ℝn→ℝf : \mathbb{R}^n \to \mathbb{R} is a smooth function. A Simple Example Local Minimizer Local minimizer is a point that achieves the … Read more