Compared with linear programs, non-linear programs (NLPs) are much more difficult to solve. In an NLP, a local minimum is not always a global minimum. A greedy search method like gradient decent may be trapped at a local minimum. Also even the NLP has optimal solutions, these optimal solutions may exist on a boundary, but … Continue reading Convex Analysis