Optimization, collection of mathematical principles and methods used for solving quantitative problems. Optimization problems typically have three fundamental elements: a quantity to be maximized or minimized, a collection of variables, and a set of constraints that restrict the variables.
Optimization - Theory, Algorithms, Solutions: A simple problem in linear programming is one in which it is necessary to find the maximum (or minimum) value of a simple function subject to certain constraints.
This course emphasizes data-driven modeling, theory and numerical algorithms for optimization with real variables. Explore the study of maximization and minimization of mathematical functions and the role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions.