一个人从位置 X = 0 开始步行,如果她只能走 2 步或 3 步,则求在 X = N 上准确到达的概率。给定步长 2 的概率,即 P,步长 3 的概率为 1 – P。
例子 :
Input : N = 5, P = 0.20
Output : 0.32
Explanation :-
There are two ways to reach 5.
2+3 with probability = 0.2 * 0.8 = 0.16
3+2 with probability = 0.8 * 0.2 = 0.16
So, total probability = 0.32.
这是一个简单的动态规划问题。这是这个问题的简单扩展:- count-ofdifferent-ways-express-n-sum-1-3-4
下面是上述方法的实现。
C++
// CPP Program to find probability to
// reach N with P probability to take
// 2 steps (1-P) to take 3 steps
#include
using namespace std;
// Returns probability to reach N
float find_prob(int N, float P)
{
double dp[N + 1];
dp[0] = 1;
dp[1] = 0;
dp[2] = P;
dp[3] = 1 - P;
for (int i = 4; i <= N; ++i)
dp[i] = (P)*dp[i - 2] + (1 - P) * dp[i - 3];
return dp[N];
}
// Driver code
int main()
{
int n = 5;
float p = 0.2;
cout << find_prob(n, p);
return 0;
}
Java
// Java Program to find probability to
// reach N with P probability to take
// 2 steps (1-P) to take 3 steps
import java.io.*;
class GFG {
// Returns probability to reach N
static float find_prob(int N, float P)
{
double dp[] = new double[N + 1];
dp[0] = 1;
dp[1] = 0;
dp[2] = P;
dp[3] = 1 - P;
for (int i = 4; i <= N; ++i)
dp[i] = (P) * dp[i - 2] +
(1 - P) * dp[i - 3];
return ((float)(dp[N]));
}
// Driver code
public static void main(String args[])
{
int n = 5;
float p = 0.2f;
System.out.printf("%.2f",find_prob(n, p));
}
}
/* This code is contributed by Nikita Tiwari.*/
Python3
# Python 3 Program to find
# probability to reach N with
# P probability to take 2
# steps (1-P) to take 3 steps
# Returns probability to reach N
def find_prob(N, P) :
dp =[0] * (n + 1)
dp[0] = 1
dp[1] = 0
dp[2] = P
dp[3] = 1 - P
for i in range(4, N + 1) :
dp[i] = (P) * dp[i - 2] + (1 - P) * dp[i - 3]
return dp[N]
# Driver code
n = 5
p = 0.2
print(round(find_prob(n, p), 2))
# This code is contributed by Nikita Tiwari.
C#
// C# Program to find probability to
// reach N with P probability to take
// 2 steps (1-P) to take 3 steps
using System;
class GFG {
// Returns probability to reach N
static float find_prob(int N, float P)
{
double []dp = new double[N + 1];
dp[0] = 1;
dp[1] = 0;
dp[2] = P;
dp[3] = 1 - P;
for (int i = 4; i <= N; ++i)
dp[i] = (P) * dp[i - 2] +
(1 - P) * dp[i - 3];
return ((float)(dp[N]));
}
// Driver code
public static void Main()
{
int n = 5;
float p = 0.2f;
Console.WriteLine(find_prob(n, p));
}
}
/* This code is contributed by vt_m.*/
PHP
Javascript
输出 :
0.32
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