Source Code:
#include<iostream.h>
#include<conio.h>
void main()
{clrscr();
int g[10][10],n,i,j,k;
cout<<"program for Floyd warshall (all pair shortest path)by: Tarun rawat\n\n";
C++ Programming
Welcome to " way2cplusplus.blogspot.in " Objective of this blog is to implement various Computer Science Engineering Lab problems into C++ programming language. These are basically most common Lab Exercise problems based on the curriculum of engineering colleges throughout the Nation. These lab exercises are also relevant to Data structure. Simply C++ programming zone...
Quick Sort
Source Code:
#include<iostream.h>
#include<conio.h>
void quicksort(int*,int,int);
int partion(int*,int,int);
void main()
{clrscr();
cout<<"Enter ten number for quick sort by-Tarun rawat:\n\n";
#include<iostream.h>
#include<conio.h>
void quicksort(int*,int,int);
int partion(int*,int,int);
void main()
{clrscr();
cout<<"Enter ten number for quick sort by-Tarun rawat:\n\n";
Heap Sort (using random input)
Source Code:
#include<iostream.h>
#include<conio.h>
#include<stdlib.h>
#include<math.h>
#define MAXSIZE RAND_MAX
#include<iostream.h>
#include<conio.h>
#include<stdlib.h>
#include<math.h>
#define MAXSIZE RAND_MAX
0/1 Knapsack Problem
Given weights and values of n items, put these items in a knapsack of capacity W to get the maximum total value in the knapsack. In other words, given two integer arrays val[0..n-1] and wt[0..n-1] which represent values and weights associated with n items respectively. Also given an integer W which represents knapsack capacity, find out the maximum value subset of val[]
Job Scheduling
Source Code:
#include<iostream.h>
#include<conio.h>
void job(int*,int*,int,int);
void main()
{clrscr();
cout<<"Program created by Tarun Rawat Job Scheduling\n\n";
#include<iostream.h>
#include<conio.h>
void job(int*,int*,int,int);
void main()
{clrscr();
cout<<"Program created by Tarun Rawat Job Scheduling\n\n";
Fractional Knapsack
There are n items in a store. For i =1,2, . . . , n, item i has weight wi > 0 and worth vi > 0. Thief can carry a maximum weight of W pounds in a knapsack. In this version of a problem the items can be broken into smaller piece, so the thief may decide to carry only a fraction xi of object i, where 0 ≤ xi ≤ 1. Item i contributes xiwi to the total weight in the knapsack, and xivi to the value of the load.here
are n items in a store.
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