- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- MS Excel
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP
- Physics
- Chemistry
- Biology
- Mathematics
- English
- Economics
- Psychology
- Social Studies
- Fashion Studies
- Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
C++ Program to Generate Random Numbers Using Probability Distribution Function
Probability Density Function (pdf), is a function that describes the relative likelihood for this random variable to take on a given value. It is also called as density of a continuous random variable.
The probability of the random variable fall within a particular range of values is given by the integral of this variable’s density over that range, So, it is given by the area under the density function but above the horizontal axis and between the lowest and greatest values of the range. Probability Distribution is based upon this probability density function.
Algorithm
Begin Declare n Assign pdf=0 For i =0 to n , do pdf = rand() mod 200 If pdf greater than 360 Print 1 Else if pdf less than 0 Print 0 Else Print pdf * 0.1 / 360 Done Done end
Example Code
#include <iostream> using namespace std; int n = 6; int main(int argc, char **argv) { int pdf = 0; for (int i = 0; i < n; i++) { pdf = rand() % 200; if (pdf > 360) cout << 1 << " "; else if (pdf < 0) cout << 0 << " "; else cout << pdf * 0.1 / 360 << " "; } cout << "..."; }
Output
0.0508333 0.0238889 0.0491667 0.0319444 0.0536111 0.0375 ...
Advertisements