About the Book: Classical and Modern Optimization provides a comprehensive overview of optimization, covering classical and modern methods for smooth and non-smooth, convex and non-convex, finite- and infinite-dimensional, static and dynamic problems. With foundational chapters on topology, functional analysis, and convex optimization, plus over 200 exercises, it serves students and professionals in mathematics, engineering, data science, and economics.