In
applied mathematics,
weak duality is a concept in
optimization which states that the
duality gap is always greater than or equal to 0. That means the solution to the primal (minimization) problem is
always greater than or equal to the solution to an associated
dual problem. This is opposed to
strong duality which only holds in certain cases.