In the Maximum-a-Posteriori (MAP) Inference problem, for any given probability distribution, the goal is to find the point in the support of that distribution with the highest probability. Potts models and Determinantal Point Processes (DPPs) are probabilistic models that were introduced in the context of statistical physics several decades ago....
Network Flow Optimization problems form the most special class of linear programming problems.
Transportation, electric, and communication networks are clearly common applications of Network Optimization.
These types of problems can be viewed as minimizing transportation problems. This Network problem will include
cost of moving materials through a network involving varying...