To find the longest path in a DAG, I\'m aware of 2 algorithms: algo 1: do a topological sort + use dynamic programming on the result of the sort ~ or ~ algo 2: enumerate all
No DFS needed. Algorithm : takes a DAG G. Each arc holds one variable E
for each node with no predecessor :
for each of his leaving arcs, E=1.
for each node whose predecessors have all been visited :
for each of his leaving arcs, E=max(E(entering arcs))+1.
max_path is the highest E within edges when all nodes have been processed.
Your second option is incorrect: DFS does not explore all possible paths, unless your graph is a tree or a forest, and you start from the roots. The second algorithm that I know is negating the weights and finding the shortest path, but it is somewhat slower than the top sort + DP algorithm that you listed as #1.
Enumerate all paths in a DAG using "DFS":
import numpy as np
def enumerate_dag(g):
def enumerate_r(n, paths, visited, a_path = []):
a_path += [n]
visited[n] = 1
if not g[n]:
paths += [list(a_path)]
else:
for nn in g[n]:
enumerate_r(nn, paths, visited, list(a_path))
paths, N = [], len(g)
visited = np.zeros((N), dtype='int32')
for root in range(N):
if visited[root]: continue
enumerate_r(root, paths, visited, [])
return paths