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2.cpp
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249 lines (204 loc) · 6.6 KB
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#include <bits/stdc++.h>
using namespace std;
#define V 4
/* Define Infinite as a large enough
value.This value will be used for
vertices not connected to each other */
#define INF 99999
int minKey(int key[], bool mstSet[])
{
// Initialize min value
int min = INT_MAX, min_index;
//loopOP
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[]
void printMST(int parent[], int graph[V][V])
{
cout<<"Edge \tWeight\n";
for (int i = 1; i < V; i++)
cout<<parent[i]<<" - "<<i<<" \t"<<graph[i][parent[i]]<<" \n";
}
// Function to construct and print MST for
// a graph represented using adjacency
// matrix representation
void primMST(int graph[V][V])
{
// Array to store constructed MST
int parent[V];
// Key values used to pick minimum weight edge in cut
int key[V];
// To represent set of vertices included in MST
bool mstSet[V];
// 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.
// Make key 0 so that this vertex is picked as first vertex.
key[0] = 0;
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++)
// graph[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 graph[u][v] is smaller than key[v]
if (graph[u][v] && mstSet[v] == false && graph[u][v] < key[v])
parent[v] = u, key[v] = graph[u][v];
}
// print the constructed MST
printMST(parent, graph);
}
// A function to print the solution matrix
void printSolution(int dist[][V]);
// Solves the all-pairs shortest path
// problem using Floyd Warshall algorithm
void floydWarshall (int graph[][V])
{
/* dist[][] will be the output matrix
that will finally have the shortest
distances between every pair of vertices */
int dist[V][V], i, j, k;
/* Initialize the solution matrix same
as input graph matrix. Or we can say
the initial values of shortest distances
are based on shortest paths considering
no intermediate vertex. */
for (i = 0; i < V; i++)
for (j = 0; j < V; j++)
dist[i][j] = graph[i][j];
/* Add all vertices one by one to
the set of intermediate vertices.
---> Before start of an iteration,
we have shortest distances between all
pairs of vertices such that the
shortest distances consider only the
vertices in set {0, 1, 2, .. k-1} as
intermediate vertices.
----> After the end of an iteration,
vertex no. k is added to the set of
intermediate vertices and the set becomes {0, 1, 2, .. k} */
for (k = 0; k < V; k++)
{
// Pick all vertices as source one by one
for (i = 0; i < V; i++)
{
// Pick all vertices as destination for the
// above picked source
for (j = 0; j < V; j++)
{
// If vertex k is on the shortest path from
// i to j, then update the value of dist[i][j]
if (dist[i][k] + dist[k][j] < dist[i][j])
dist[i][j] = dist[i][k] + dist[k][j];
}
}
}
// Print the shortest distance matrix
printSolution(dist);
}
/* A utility function to print solution */
void printSolution(int dist[][V])
{
cout<<"The following matrix shows the shortest distances"
" between every pair of vertices \n";
for (int i = 0; i < V; i++)
{
for (int j = 0; j < V; j++)
{
if (dist[i][j] == INF)
cout<<"INF"<<" ";
else
cout<<dist[i][j]<<" ";
}
cout<<endl;
}
}
int numberOfSquares(int X[], int Y[],
int N, int M)
{
// Stores the count of all possible
// distances in X[] & Y[] respectively
unordered_map<int, int> m1, m2;
int i, j, ans = 0;
// Find distance between all
// pairs in the array X[]
for (i = 0; i < N; i++) {
for (j = i + 1; j < N; j++) {
int dist = abs(X[i] - X[j]);
// Add the count to m1
m1[dist]++;
}
}
// Find distance between all
// pairs in the array Y[]
for (i = 0; i < M; i++) {
for (j = i + 1; j < M; j++) {
int dist = abs(Y[i] - Y[j]);
// Add the count to m2
m2[dist]++;
}
}
// Find sum of m1[i] * m2[i]
// for same distance
for (auto i = m1.begin();
i != m1.end(); i++) {
// Find current count in m2
if (m2.find(i->first)
!= m2.end()) {
// Add to the total count
ans += (i->second
* m2[i->first]);
}
}
// Return the final count
return ans;
}
int main()
{
// Given lines
int X[] = { 1, 3, 7 };
int Y[] = { 2, 4, 6, 1 };
int N = sizeof(X) / sizeof(X[0]);
int M = sizeof(Y) / sizeof(Y[0]);
// Function Call
cout << numberOfSquares(X, Y, N, M);
return 0;
}
##c++ program to find largest three no
#include <iostream>
using namespace std;
int main() {
float n1, n2, n3;
cout << "Enter three numbers: ";
cin >> n1 >> n2 >> n3;
if(n1 >= n2 && n1 >= n3)
cout << "Largest number: " << n1;
if(n2 >= n1 && n2 >= n3)
cout << "Largest number: " << n2;
if(n3 >= n1 && n3 >= n2)
cout << "Largest number: " << n3;
return 0;
}
# java programme to add two no
public class AddTwoNumbers {
public static void main(String[] args) {
int num1 = 5, num2 = 15, sum;
sum = num1 + num2;
System.out.println("Sum of these numbers: "+sum);
}
}