Optimizing Causal Orderings for Generating DAGs from Data
  An algorithm for generating the structure of a directed acyclic graph from
data using the notion of causal input lists is presented. The algorithm
manipulates the ordering of the variables with operations which very much
resemble arc reversal. Operations are only applied if the DAG after the
operation represents at least the independencies represented by the DAG before
the operation until no more arcs can be removed from the DAG. The resulting DAG
is a minimal l-map.
