Add pathing using BFS within the simple-graph example

This commit is contained in:
2021-07-12 14:25:43 -04:00
parent 166d998508
commit 2a36de7c52
3 changed files with 71 additions and 15 deletions

View File

@@ -13,6 +13,9 @@
int main (const int argc, const char * argv[])
{
// We could initialize the graph with some localNodes...
// This graph uses an unordered_(map/set), so initialization is reversed
// + So the final order of initialization is 1,2,3,4,5,6,7,8
// + Similarly, adjacent nodes are inserted at front (6,4 initializes to 4,6)
std::unordered_map<int, std::unordered_set<int>> localNodes{
{8, {6, 4}},
{7, {8, 6, 4, 3}},
@@ -45,6 +48,17 @@ int main (const int argc, const char * argv[])
// + Chapter 22, Figure 22.3 on BFS
bfsGraph.BFS(2);
std::cout << "\nTesting finding a path between two nodes using BFS...\n";
auto path = bfsGraph.PathBFS(1, 7);
if (path.empty()) std::cout << "No valid path found!\n";
else {
std::cout << "\nValid path from " << path.front() << " to "
<< path.back() << ": ";
for (const auto &node : path) {
std::cout << node << " ";
}
std::cout << std::endl;
}
std::cout << "\n\n##### Depth First Search #####\n";
// Initialize an example graph for Depth First Search
@@ -64,18 +78,22 @@ int main (const int argc, const char * argv[])
std::cout << "\n\n##### Topological Sort #####\n";
// The graph traversed in this example is seen in MIT Intro to Algorithms
// + Chapter 22, Figure 22.4 on DFS
// Initialize an example graph for Topological Sort
// + The final result will place node 3 (watch) at the beginning of the order
// + This is because node 3 has no connecting node
Graph topologicalGraph (
{
{9, {}},
{8, {9}},
{7, {9}},
{6, {7, 8}},
{5, {}},
{4, {7, 5}},
{3, {}},
{2, {5}},
{1, {5, 4}},
{9, {}}, // jacket
{8, {9}}, // tie
{7, {9}}, // belt
{6, {7, 8}}, // shirt
{5, {}}, // shoes
{4, {7, 5}}, // pants
{3, {}}, // watch
{2, {5}}, // socks
{1, {5, 4}}, // undershorts
}
);
auto order = topologicalGraph.TopologicalSort(topologicalGraph.GetNode(6));
@@ -86,9 +104,9 @@ int main (const int argc, const char * argv[])
}
std::cout << std::endl << std::endl;
// If we want the topological order to match what is seen in the book
// If we want the topological order to exactly match what is seen in the book
// + We have to initialize the graph carefully to get this result -
// Because this is an unordered_(map/set) initialization is reversed
// This graph uses an unordered_(map/set), so initialization is reversed
// + So the order of nodes on the container below is 6,7,8,9,3,1,4,5,2
// + The same concept applies to their adjacent nodes (7,8 initializes to 8,7)
// + In object-graph implementation, I use vectors this does not apply there
@@ -122,7 +140,5 @@ int main (const int argc, const char * argv[])
}
std::cout << std::endl;
std::cout << std::endl;
return 0;
}