Given four integers p, q, r, and s. Two players are playing a game where both the players hit a target and the first player who hits the target wins the game. The probability of the first player hitting the target is p / q and that of the second player hitting the target is r / s. The task is to find the probability of the first player winning the game.
Examples:
Input: p = 1, q = 4, r = 3, s = 4
Output: 0.307692308
Input: p = 1, q = 2, r = 1, s = 2
Output: 0.666666667
Approach: The probability of the first player hitting the target is p / q and missing the target is 1 - p / q.
The probability of the second player hitting the target is r / s and missing the target is 1 - r / s.
Let the first player be x and the second player is y.
So the total probability will be x won + (x lost * y lost * x won) + (x lost * y lost * x lost * y lost * x won) + ... so on.
Because x can win at any turn, it's an infinite sequence.
Let t = (1 - p / q) * (1 - r / s). Here t < 1 as p / q and r / s are always <1.
So the series will become, p / q + (p / q) * t + (p / q) * t2 + ...
This is an infinite GP series with a common ratio of less than 1 and its sum will be (p / q) / (1 - t).
Below is the implementation of the above approach:
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
// Function to return the probability of the winner
double find_probability(double p, double q,
double r, double s)
{
double t = (1 - p / q) * (1 - r / s);
double ans = (p / q) / (1 - t);
return ans;
}
// Driver Code
int main()
{
double p = 1, q = 2, r = 1, s = 2;
// Will print 9 digits after the decimal point
cout << fixed << setprecision(9)
<< find_probability(p, q, r, s);
return 0;
}
// Java implementation of the approach
import java.util.*;
import java.text.DecimalFormat;
class solution
{
// Function to return the probability of the winner
static double find_probability(double p, double q,
double r, double s)
{
double t = (1 - p / q) * (1 - r / s);
double ans = (p / q) / (1 - t);
return ans;
}
// Driver Code
public static void main(String args[])
{
double p = 1, q = 2, r = 1, s = 2;
// Will print 9 digits after the decimal point
DecimalFormat dec = new DecimalFormat("#0.000000000");
System.out.println(dec.format(find_probability(p, q, r, s)));
}
}
// This code is contributed by
// Surendra_Gangwar
# Python3 implementation of the approach
# Function to return the probability
# of the winner
def find_probability(p, q, r, s) :
t = (1 - p / q) * (1 - r / s)
ans = (p / q) / (1 - t);
return round(ans, 9)
# Driver Code
if __name__ == "__main__" :
p, q, r, s = 1, 2, 1, 2
# Will print 9 digits after
# the decimal point
print(find_probability(p, q, r, s))
# This code is contributed by Ryuga
// C# implementation of the approach
using System;
class GFG
{
// Function to return the probability of the winner
static double find_probability(double p, double q,
double r, double s)
{
double t = (1 - p / q) * (1 - r / s);
double ans = (p / q) / (1 - t);
return ans;
}
// Driver Code
public static void Main()
{
double p = 1, q = 2, r = 1, s = 2;
Console.WriteLine(find_probability(p, q, r, s));
}
}
// This code is contributed by
// anuj_67..
<?php
// PHP implementation of the approach
// Function to return the probability
// of the winner
function find_probability($p, $q, $r, $s)
{
$t = (1 - $p / $q) * (1 - $r / $s);
$ans = ($p / $q) / (1 - $t);
return $ans;
}
// Driver Code
$p = 1; $q = 2;
$r = 1; $s = 2;
// Will print 9 digits after
// the decimal point
$res = find_probability($p, $q, $r, $s);
$update = number_format($res, 7);
echo $update;
// This code is contributed by Rajput-Ji
?>
<script>
// Javascript implementation of the approach
// Function to return the probability of the winner
function find_probability(p, q, r, s)
{
var t = (1 - p / q) * (1 - r / s);
var ans = (p / q) / (1 - t);
return ans;
}
// Driver Code
var p = 1, q = 2, r = 1, s = 2;
// Will print 9 digits after the decimal point
document.write( find_probability(p, q, r, s).toFixed(9));
</script>
Output:
0.666666667
Time Complexity: O(1)
Auxiliary Space: O(1)