Write an algorithm to find the longest path in a DAG,
where the length of the path is measured
by the number of edges that it contains. What is the asymptotic
complexity of your algorithm?
Begin
initially mark all nodes as unvisited
for each node i in the graph,do
if i is not visited, then
topological sort(i,visited,stack)
done
make distances of all vertices as -infinite
dist[start] :=0
while stack is not empty,do
pop stack and take into nextVert
if dist[nextVert] is not equal to -infinite,then
for each vertices v which is adjacent to nextVert,do
if cost[nextVert,v] is not equal to -infinite,then
if dist[v]<dist[nextVert]+cost[nextVert,v],then
dist[v] :=dist[nextVert]+cost[nextVert,v]
done
done
for all vertices i in the graph do
if dist[i]=-infinite,then
display infinty
else display dist[i]
done
End
FOR TOPOLOGICALSORT(U,VISITED,STACK)
Begin
mark u as visited
for all vertex v,which is connected with u,do
if v is not visited then
topologicalsort(v,visited,stack)
done
push u into stack
End
Asymptotic complexity for topological sorting is O(V+E) so the
overall asymptotic complexity is also considered as O(V+E) where V
represents Vertices and E represents Edges
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Data Structure and Algorithms
Find shortest path using Dijkstra algorithm for both examples.
Draw a table with the values for each example. Trace the shortest
path. Explain how you traced it using the values from the table.
Write big. Thanks!
Example:1 DAG dynamic programming - Google Search 24 5 3 3 415 star 60 3 20 go 15 6