Optimization Convexity Explained Through the Gladiator Strategy
Convexity lies at the heart of modern optimization, shaping how algorithms efficiently navigate complex landscapes to find optimal solutions. At its core, a convex function ensures that any local minimum is also a global minimum—a powerful property that enables algorithms like gradient descent to ...