private void bes(Graph graph) {
TetradLogger.getInstance().log("info", "** BACKWARD EQUIVALENCE SEARCH");
initializeArrowsBackward(graph);
while (!sortedArrows.isEmpty()) {
Arrow arrow = sortedArrows.first();
sortedArrows.remove(arrow);
Node x = arrow.getX();
Node y = arrow.getY();
clearArrow(x, y);
if (!validDelete(arrow.getHOrT(), arrow.getNaYX(), graph)) {
continue;
}
List<Node> h = arrow.getHOrT();
double bump = arrow.getBump();
delete(x, y, h, graph, bump);
score += bump;
rebuildPattern(graph);
storeGraph(graph);
initializeArrowsBackward(
graph); // Rebuilds Arrows from scratch each time. Fast enough for backwards.
}
}
/**
* Forward equivalence search.
*
* @param graph The graph in the state prior to the forward equivalence search.
*/
private void fes(Graph graph, List<Node> nodes) {
TetradLogger.getInstance().log("info", "** FORWARD EQUIVALENCE SEARCH");
lookupArrows = new HashMap<OrderedPair, Set<Arrow>>();
initializeArrowsForward(nodes);
while (!sortedArrows.isEmpty()) {
Arrow arrow = sortedArrows.first();
sortedArrows.remove(arrow);
Node x = arrow.getX();
Node y = arrow.getY();
clearArrow(x, y);
if (graph.isAdjacentTo(x, y)) {
continue;
}
if (!validInsert(x, y, arrow.getHOrT(), arrow.getNaYX(), graph)) {
continue;
}
List<Node> t = arrow.getHOrT();
double bump = arrow.getBump();
Set<Edge> edges = graph.getEdges();
insert(x, y, t, graph, bump);
score += bump;
rebuildPattern(graph);
// Try to avoid duplicating scoring calls. First clear out all of the edges that need to be
// changed,
// then change them, checking to see if they're already been changed. I know, roundabout, but
// there's
// a performance boost.
for (Edge edge : graph.getEdges()) {
if (!edges.contains(edge)) {
reevaluateForward(graph, nodes, edge.getNode1(), edge.getNode2());
}
}
storeGraph(graph);
}
}
// Sorting is by bump, high to low.
public int compareTo(Object o) {
Arrow arrow = (Arrow) o;
return Double.compare(arrow.getBump(), getBump());
}