Groups
Category
The Maximum Entropy Principle picks the probability distribution with the greatest uncertainty (entropy) that still satisfies the facts you know (constraints).
Convex optimization studies minimizing convex functions over convex sets, where every local minimum is guaranteed to be a global minimum.