Operation Research, Optimization Algorithms, Scheduler, Discrete Mathematics, Data Science.
of a perfect match with the demand or cases of undersupply (as of this example) or over-supply. It’s important to understand that the more constraints and preferences we have to consider when searching for the solution, the more complex it will be to design an algorithm that works well and fast.