Given a connected and undirected graph, a spanning tree of that graph is a subgraph that is a tree and connects all the vertices together. A single graph can have many different spanning trees. A minimum product spanning tree for a weighted, connected and undirected graph is a spanning tree with weight product less than or equal to the weight product of every other spanning tree. The weight product of a spanning tree is the product of weights corresponding to each edge of the spanning tree. All weights of the given graph will be positive for simplicity.

Examples:

Minimum Product that we can obtain is 180 for above graph by choosing edges 0-1, 1-2, 0-3 and 1-4

This problem can be solved using standard minimum spanning tree algorithms like krushkal and prim’s algorithm, but we need to modify our graph to use these algorithms. Minimum spanning tree algorithms tries to minimize total sum of weights, here we need to minimize total product of weights. We can use property of logarithms to overcome this problem.

As we know,

log(w1* w2 * w3 * …. * wN) = log(w1) + log(w2) + log(w3) ….. + log(wN)

We can replace each weight of graph by its log value, then we apply any minimum spanning tree algorithm which will try to minimize sum of log(wi) which in-turn minimizes weight product.

For example graph, steps are shown in below diagram,

In below code first we have constructed the log graph from given input graph, then that graph is given as input to prim’s MST algorithm, which will minimize the total sum of weights of tree. Since weight of modified graph are logarithms of actual input graph, we actually minimize the product of weights of spanning tree.

`// A C/C++ program for getting minimum product ` `// spanning tree The program is for adjacency matrix ` `// representation of the graph ` `#include <bits/stdc++.h> ` ` ` `// Number of vertices in the graph ` `#define V 5 ` ` ` `// A utility function to find the vertex with minimum ` `// key value, from the set of vertices not yet included ` `// in MST ` `int` `minKey(` `int` `key[], ` `bool` `mstSet[]) ` `{ ` ` ` `// Initialize min value ` ` ` `int` `min = INT_MAX, min_index; ` ` ` ` ` `for` `(` `int` `v = 0; v < V; v++) ` ` ` `if` `(mstSet[v] == ` `false` `&& key[v] < min) ` ` ` `min = key[v], min_index = v; ` ` ` ` ` `return` `min_index; ` `} ` ` ` `// A utility function to print the constructed MST ` `// stored in parent[] and print Minimum Obtaiable ` `// product ` `int` `printMST(` `int` `parent[], ` `int` `n, ` `int` `graph[V][V]) ` `{ ` ` ` `printf` `(` ```
"Edge Weight
"
``` `); ` ` ` `int` `minProduct = 1; ` ` ` `for` `(` `int` `i = 1; i < V; i++) ` ` ` `{ ` ` ` `printf` `(` ```
"%d - %d %d
"
``` `, ` ` ` `parent[i], i, graph[i][parent[i]]); ` ` ` ` ` `minProduct *= graph[i][parent[i]]; ` ` ` `} ` ` ` `printf` `(` ```
"Minimum Obtainable product is %d
"
``` `, ` ` ` `minProduct); ` `} ` ` ` `// Function to construct and print MST for a graph ` `// represented using adjacency matrix representation ` `// inputGraph is sent for printing actual edges and ` `// logGraph is sent for actual MST operations ` `void` `primMST(` `int` `inputGraph[V][V], ` `double` `logGraph[V][V]) ` `{ ` ` ` `int` `parent[V]; ` `// Array to store constructed MST ` ` ` `int` `key[V]; ` `// Key values used to pick minimum ` ` ` `// weight edge in cut ` ` ` `bool` `mstSet[V]; ` `// To represent set of vertices not ` ` ` `// yet included in MST ` ` ` ` ` `// Initialize all keys as INFINITE ` ` ` `for` `(` `int` `i = 0; i < V; i++) ` ` ` `key[i] = INT_MAX, mstSet[i] = ` `false` `; ` ` ` ` ` `// Always include first 1st vertex in MST. ` ` ` `key[0] = 0; ` `// Make key 0 so that this vertex is ` ` ` `// picked as first vertex ` ` ` `parent[0] = -1; ` `// First node is always root of MST ` ` ` ` ` `// The MST will have V vertices ` ` ` `for` `(` `int` `count = 0; count < V-1; count++) ` ` ` `{ ` ` ` `// Pick the minimum key vertex from the set of ` ` ` `// vertices not yet included in MST ` ` ` `int` `u = minKey(key, mstSet); ` ` ` ` ` `// Add the picked vertex to the MST Set ` ` ` `mstSet[u] = ` `true` `; ` ` ` ` ` `// Update key value and parent index of the ` ` ` `// adjacent vertices of the picked vertex. ` ` ` `// Consider only those vertices which are not yet ` ` ` `// included in MST ` ` ` `for` `(` `int` `v = 0; v < V; v++) ` ` ` ` ` `// logGraph[u][v] is non zero only for ` ` ` `// adjacent vertices of m mstSet[v] is false ` ` ` `// for vertices not yet included in MST ` ` ` `// Update the key only if logGraph[u][v] is ` ` ` `// smaller than key[v] ` ` ` `if` `(logGraph[u][v] > 0 && ` ` ` `mstSet[v] == ` `false` `&& ` ` ` `logGraph[u][v] < key[v]) ` ` ` ` ` `parent[v] = u, key[v] = logGraph[u][v]; ` ` ` `} ` ` ` ` ` `// print the constructed MST ` ` ` `printMST(parent, V, inputGraph); ` `} ` ` ` `// Method to get minimum product spanning tree ` `void` `minimumProductMST(` `int` `graph[V][V]) ` `{ ` ` ` `double` `logGraph[V][V]; ` ` ` ` ` `// Constructing logGraph from original graph ` ` ` `for` `(` `int` `i = 0; i < V; i++) ` ` ` `{ ` ` ` `for` `(` `int` `j = 0; j < V; j++) ` ` ` `{ ` ` ` `if` `(graph[i][j] > 0) ` ` ` `logGraph[i][j] = ` `log` `(graph[i][j]); ` ` ` `else` ` ` `logGraph[i][j] = 0; ` ` ` `} ` ` ` `} ` ` ` ` ` `// Applyting standard Prim's MST algorithm on ` ` ` `// Log graph. ` ` ` `primMST(graph, logGraph); ` `} ` ` ` `// driver program to test above function ` `int` `main() ` `{ ` ` ` `/* Let us create the following graph ` ` ` `2 3 ` ` ` `(0)--(1)--(2) ` ` ` `| / | ` ` ` `6| 8/ 5 |7 ` ` ` `| / | ` ` ` `(3)-------(4) ` ` ` `9 */` ` ` `int` `graph[V][V] = {{0, 2, 0, 6, 0}, ` ` ` `{2, 0, 3, 8, 5}, ` ` ` `{0, 3, 0, 0, 7}, ` ` ` `{6, 8, 0, 0, 9}, ` ` ` `{0, 5, 7, 9, 0}, ` ` ` `}; ` ` ` ` ` `// Print the solution ` ` ` `minimumProductMST(graph); ` ` ` ` ` `return` `0; ` `} ` |

Output:

Edge Weight 0 - 1 2 1 - 2 3 0 - 3 6 1 - 4 5 Minimum Obtainable product is 180

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

## leave a comment

## 0 Comments