Duality in optimization refers to the principle where every optimization problem can be associated with a dual problem, providing insights into the properties of the original problem and potentially offering computational advantages. The solutions to the dual problem offer bounds to the solution of the primal problem, and under certain conditions, such as convexity, the optimal values of the primal and dual problems coincide, known as strong duality.