Dijkstra's Shortest Path Calc
What's Dijkstra's Shortest Path Calc APK?
Dijkstra's Shortest Path Calc is a app for Android, It's developed by IDAARAH author.
First released on google play in 9 years ago and latest version released in 9 years ago.
This app has 0 download times on Google play and rated as 5.00 stars with 3 rated times.
This product is an app in Education category. More infomartion of Dijkstra's Shortest Path Calc on google play
Instructions:
1. Set the Total Number of Nodes
2. Add information about the distance from one node to another and Click. If you make a mistake, click the row to delete it.
3. Make sure the and "From" values are less than the number of Nodes.
4. Set the starting Node. Must be between 1 and Number of Nodes. Default is 0
5. Click "Calculate" to see the Distance from Node 1 to the rest of the Nodes!
6. Rate App to Support Developer
You can request any additional features.
Dijkstra's algorithm, conceived by computer scientist Edsger Dijkstra in 1956 and published in 1959,[1][2] is an algorithm for finding the shortest paths between nodes in graph (which may represent, for example, road networks). The algorithm exists in many variants; Dijkstra's original variant found the shortest path between two nodes,[2] but a more common variant fixes a single node as the "source" node and finds shortest paths from the source to all other nodes in the graph, producing a shortest path tree.
1 function Dijkstra(Graph, source):
2
3 dist[source] ← 0 // Distance from source to source
4 prev[source] ← undefined // Previous node in optimal path initialization
5
6 for each vertex v in Graph: // Initialization
7 if v ≠ source // Where v has not yet been removed from Q (unvisited nodes)
8 dist[v] ← infinity // Unknown distance function from source to v
9 prev[v] ← undefined // Previous node in optimal path from source
10 end if
11 add v to Q // All nodes initially in Q (unvisited nodes)
12 end for
13
14 while Q is not empty:
15 u ← vertex in Q with min dist[u] // Source node in first case
16 remove u from Q
17
18 for each neighbor v of u: // where v is still in Q.
19 alt ← dist[u] + length(u, v)
20 if alt < dist[v]: // A shorter path to v has been found
21 dist[v] ← alt
22 prev[v] ← u
23 end if
24 end for
25 end while
26
27 return dist[], prev[]
28
29 end function
Source: Wikipedia
1. Set the Total Number of Nodes
2. Add information about the distance from one node to another and Click. If you make a mistake, click the row to delete it.
3. Make sure the and "From" values are less than the number of Nodes.
4. Set the starting Node. Must be between 1 and Number of Nodes. Default is 0
5. Click "Calculate" to see the Distance from Node 1 to the rest of the Nodes!
6. Rate App to Support Developer
You can request any additional features.
Dijkstra's algorithm, conceived by computer scientist Edsger Dijkstra in 1956 and published in 1959,[1][2] is an algorithm for finding the shortest paths between nodes in graph (which may represent, for example, road networks). The algorithm exists in many variants; Dijkstra's original variant found the shortest path between two nodes,[2] but a more common variant fixes a single node as the "source" node and finds shortest paths from the source to all other nodes in the graph, producing a shortest path tree.
1 function Dijkstra(Graph, source):
2
3 dist[source] ← 0 // Distance from source to source
4 prev[source] ← undefined // Previous node in optimal path initialization
5
6 for each vertex v in Graph: // Initialization
7 if v ≠ source // Where v has not yet been removed from Q (unvisited nodes)
8 dist[v] ← infinity // Unknown distance function from source to v
9 prev[v] ← undefined // Previous node in optimal path from source
10 end if
11 add v to Q // All nodes initially in Q (unvisited nodes)
12 end for
13
14 while Q is not empty:
15 u ← vertex in Q with min dist[u] // Source node in first case
16 remove u from Q
17
18 for each neighbor v of u: // where v is still in Q.
19 alt ← dist[u] + length(u, v)
20 if alt < dist[v]: // A shorter path to v has been found
21 dist[v] ← alt
22 prev[v] ← u
23 end if
24 end for
25 end while
26
27 return dist[], prev[]
28
29 end function
Source: Wikipedia
