## Goals

Decision trees are a useful data structure to store a large amount of relations. Most software libraries in this area aim for maximum storage and efficiency, implement them with binary decision diagrams (BDDs) and leave all details of handling nodes to the end-application for maximum flexibility.

This library uses multi-value decision diagrams (MDDs) instead, and attempts to keep details of handling nodes away from the application programmer. The advantage of these choices is that using the library is simpler, in particular with variables that have more than two possible values. The downside is that this implementation is less feature rich, and is less efficient.

As a result, this library works well for applications that need to manipulate relations with many variables with a larger domain, where usage of the application is not expected to go near the limits of the computer running it.