Optimality Conditions in Linear Optimization

Explores primal-dual optimization, conjugation of functions, strong duality, and quadratic penalty methods in data mathematics.

Explains the process of finding an initial Basic Feasible Solution for linear optimization problems using the Simplex Algorithm.

Covers the concept of linear optimization and the duality relationship between primal and dual problems.

Explores the formulation of the auxiliary problem in linear optimization and its role in optimal decision-making.

Explores primal-dual optimization, minimax problems, and gradient descent-ascent methods for optimization algorithms.