Description
Subgradient optimization methods can be used to produce both primal and dual solutions. It is useful for researchers and developers working on decomposition, relaxation, or optimization algorithms that need this COIN-OR component.
Subgradient methods require careful stopping criteria and interpretation. Validate convergence and solution quality before using outputs for decisions.