$ g++ OptimizeWireLength.cpp $ a.out Enter the starting component: 1 Component Distance from other component 0 4 1 0 2 8 3 15 4 22 5 12 6 12 7 11 8 10 Enter the starting component: 6 Component Distance from other component 0 9 1 12 2 6 3 13 4 12 5 2 6 0 7 1 8 6
Users Online
· Guests Online: 102
· Members Online: 0
· Total Members: 188
· Newest Member: meenachowdary055
· Members Online: 0
· Total Members: 188
· Newest Member: meenachowdary055
Forum Threads
Newest Threads
No Threads created
Hottest Threads
No Threads created
Latest Articles
Articles Hierarchy
C++ Program to Optimize Wire Length in Electrical Circuit
C++ Program to Optimize Wire Length in Electrical Circuit
This is a C++ Program to optimize wire length in electix circuit. This problem can be reduced to finding the shortest path between two components.
Here is source code of the C++ Program to Optimize Wire Length in Electrical Circuit. The C++ program is successfully compiled and run on a Linux system. The program output is also shown below.
-
#include <stdio.h>
-
#include <limits.h>
-
#include <iostream>
-
-
using namespace std;
-
-
// Number of components in the graph
-
#define V 9
-
-
// A utility function to find the component with minimum distance value, from
-
// the set of components not yet included in shortest path tree
-
int minDistance(int dist[], bool sptSet[])
-
{
-
// Initialize min value
-
int min = INT_MAX, min_index;
-
-
for (int v = 0; v < V; v++)
-
if (sptSet[v] == false && dist[v] <= min)
-
min = dist[v], min_index = v;
-
-
return min_index;
-
}
-
-
// A utility function to print the constructed distance array
-
void printSolution(int dist[], int n)
-
{
-
cout << "Component\tDistance from other component\n";
-
for (int i = 0; i < V; i++)
-
printf("%d\t\t%d\n", i, dist[i]);
-
}
-
-
// Funtion that implements Dijkstra's single source shortest path algorithm
-
// for a graph represented using adjacency matrix representation
-
void optimizeLength(int graph[V][V], int src)
-
{
-
int dist[V]; // The output array. dist[i] will hold the shortest
-
// distance from src to i
-
-
bool sptSet[V]; // sptSet[i] will true if component i is included in shortest
-
// path tree or shortest distance from src to i is finalized
-
-
// Initialize all distances as INFINITE and stpSet[] as false
-
for (int i = 0; i < V; i++)
-
dist[i] = INT_MAX, sptSet[i] = false;
-
-
// Distance of source component from itself is always 0
-
dist[src] = 0;
-
-
// Find shortest path for all components
-
for (int count = 0; count < V - 1; count++)
-
{
-
// Pick the minimum distance component from the set of components not
-
// yet processed. u is always equal to src in first iteration.
-
int u = minDistance(dist, sptSet);
-
-
// Mark the picked component as processed
-
sptSet[u] = true;
-
-
// Update dist value of the adjacent components of the picked component.
-
for (int v = 0; v < V; v++)
-
-
// Update dist[v] only if is not in sptSet, there is an edge from
-
// u to v, and total weight of path from src to v through u is
-
// smaller than current value of dist[v]
-
if (!sptSet[v] && graph[u][v] && dist[u] != INT_MAX && dist[u]
-
+ graph[u][v] < dist[v])
-
dist[v] = dist[u] + graph[u][v];
-
}
-
-
// print the constructed distance array
-
printSolution(dist, V);
-
}
-
-
// driver program to test above function
-
int main()
-
{
-
/* Let us create the example graph discussed above */
-
int graph[V][V] =
-
{ { 0, 4, 0, 0, 0, 0, 0, 8, 0 }, { 4, 0, 8, 0, 0, 0, 0, 11, 0 }, {
-
0, 8, 0, 7, 0, 4, 0, 0, 2 },
-
{ 0, 0, 7, 0, 9, 14, 0, 0, 0 }, { 0, 0, 0, 9, 0, 10, 0, 0,
-
0 }, { 0, 0, 4, 0, 10, 0, 2, 0, 0 }, { 0, 0, 0, 14,
-
0, 2, 0, 1, 6 }, { 8, 11, 0, 0, 0, 0, 1, 0, 7 }, {
-
0, 0, 2, 0, 0, 0, 6, 7, 0 } };
-
-
cout << "Enter the starting component: ";
-
int s;
-
cin >> s;
-
optimizeLength(graph, s);
-
-
return 0;
-
}
Output:
Comments
No Comments have been Posted.
Post Comment
Please Login to Post a Comment.