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Added Dijkstra's algo and Fibonacci Search codes! #41

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90 changes: 90 additions & 0 deletions Dijkstra Algorith.txt
Original file line number Diff line number Diff line change
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// A C++ program for Dijkstra's single source shortest path algorithm.
// The program is for adjacency matrix representation of the graph

#include <limits.h>
#include <stdio.h>

// Number of vertices in the graph
#define V 9

// A utility function to find the vertex with minimum distance value, from
// the set of vertices 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[])
{
printf("Vertex \t\t Distance from Source\n");
for (int i = 0; i < V; i++)
printf("%d \t\t %d\n", i, dist[i]);
}

// Function that implements Dijkstra's single source shortest path algorithm
// for a graph represented using adjacency matrix representation
void dijkstra(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 be true if vertex 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 vertex from itself is always 0
dist[src] = 0;

// Find shortest path for all vertices
for (int count = 0; count < V - 1; count++) {
// Pick the minimum distance vertex from the set of vertices not
// yet processed. u is always equal to src in the first iteration.
int u = minDistance(dist, sptSet);

// Mark the picked vertex as processed
sptSet[u] = true;

// Update dist value of the adjacent vertices of the picked vertex.
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);
}

// 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, 14, 10, 0, 2, 0, 0 },
{ 0, 0, 0, 0, 0, 2, 0, 1, 6 },
{ 8, 11, 0, 0, 0, 0, 1, 0, 7 },
{ 0, 0, 2, 0, 0, 0, 6, 7, 0 } };

dijkstra(graph, 0);

return 0;
}
52 changes: 52 additions & 0 deletions FibonacciSearch.txt
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#include<iostream>
using namespace std;

void FibonacciSearch(int *a, int start, int end, int *fib, int index, int item)
{
int i, mid;
mid = start+fib[index-2];
if(item == a[mid])
{ cout<<"\n item found at "<<mid<<" index.";
return;
}
else if(item == a[start])
{ cout<<"\n item found at "<<start<<" index.";
return;
}
else if(item == a[end])
{ cout<<"\n item found at "<<end<<" index.";
return;
}
else if(mid == start || mid == end)
{ cout<<"\nElement not found";
return;
}
else if(item > a[mid])
FibonacciSearch(a, mid, end, fib, index-1, item);
else
FibonacciSearch(a, start, mid, fib, index-2, item);
}

void main()
{ int n, i, fib[20], a[10]={3, 7, 55, 86, 7, 15, 26, 30, 46, 95};
char ch;
fib[0] = 0;
fib[1] = 1;
i = 1;
while(fib[i] < 10)
{ i++;
fib[i] = fib[i-1] + fib[i-2];
}
up:
cout<<"\nEnter the Element to be searched: ";
cin>>n;
FibonacciSearch(a, 0, 9, fib, i, n);
cout<<"\n\n\tDo you want to search more...enter choice(y/n)?";
cin>>ch;

if(ch == 'y' || ch == 'Y')
goto up;

return 0;

}