Directed networks allow us to solve flow problems. Flow problems involve moving units through a directed graph from a source to a sink, where the movement constrained by the capacities of the edges.

Using graphical networks (networkx and pygraphviz) to store variables and functions on nodes and edges respectively. Calculations are then completed by collapsing each Directed Acyclic Graph (DAG) - ...

Reinforcement learning can be modeled as markov decision process mathematically. In consequence, the interaction samples as well as the connection relation between them are two main types of ...

A modified version. Speicifically, changed oriented graph class to directed graph class to support digons. A version of Flagmatic with added functionality such as assumptions and stability checks. It ...

First, the math! Here’s where they started: Directed Graph. Tarjan’s strongly connected components algorithm Some pseudo code for Tarjan’s algorithm Some S.O. Q/A on the subject of detecting cycles in ...