求长度为 N 的二进制字符串中至少有 3 个连续 1 的个数
原文:https://www . geesforgeks . org/find-长度为 n 的二进制字符串的数量,至少有 3 个连续的 1/
给定一个整数 N 。任务是找出长度为 N 的所有可能的不同二进制字符串的数量,这些字符串至少有 3 个连续的 1。 例:
输入: N = 3 输出: 1 唯一可能长度为 3 的字符串是“111”。 输入: N = 4 输出: 3 这 3 个字符串分别是“1110”、“0111”和“1111”。
天真的做法:考虑所有可能的字符串。 以下是上述办法的实施情况:
C++
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
// Function that returns true if s contains
// three consecutive 1's
bool check(string& s)
{
int n = s.length();
for (int i = 2; i < n; i++) {
if (s[i] == '1' && s[i - 1] == '1' && s[i - 2] == '1')
return 1;
}
return 0;
}
// Function to return the count
// of required strings
int countStr(int i, string& s)
{
if (i < 0) {
if (check(s))
return 1;
return 0;
}
s[i] = '0';
int ans = countStr(i - 1, s);
s[i] = '1';
ans += countStr(i - 1, s);
s[i] = '0';
return ans;
}
// Driver code
int main()
{
int N = 4;
string s(N, '0');
cout << countStr(N - 1, s);
return 0;
}
Java 语言(一种计算机语言,尤用于创建网站)
// Java implementation of the approach
import java.util.*;
class GFG
{
// Function that returns true if s contains
// three consecutive 1's
static boolean check(String s)
{
int n = s.length();
for (int i = 2; i < n; i++)
{
if (s.charAt(i) == '1' &&
s.charAt(i-1) == '1' &&
s.charAt(i-2) == '1')
return true;
}
return false;
}
// Function to return the count
// of required strings
static int countStr(int i, String s)
{
if (i < 0)
{
if (check(s))
return 1;
return 0;
}
char[] myNameChars = s.toCharArray();
myNameChars[i] = '0';
s = String.valueOf(myNameChars);
int ans = countStr(i - 1, s);
char[] myChar = s.toCharArray();
myChar[i] = '1';
s = String.valueOf(myChar);
ans += countStr(i - 1, s);
char[]myChar1 = s.toCharArray();
myChar1[i] = '0';
s = String.valueOf(myChar1);
return ans;
}
// Driver code
public static void main(String args[])
{
int N = 4;
String s = "0000";
System.out.println(countStr(N - 1, s));
}
}
// This code is contributed by
// Surendra_Gangwar
Python 3
# Python3 implementation of the approach
# Function that returns true if s contains
# three consecutive 1's
def check(s) :
n = len(s);
for i in range(2, n) :
if (s[i] == '1' and s[i - 1] == '1' and
s[i - 2] == '1') :
return 1;
# Function to return the count
# of required strings
def countStr(i, s) :
if (i < 0) :
if (check(s)) :
return 1;
return 0;
s[i] = '0';
ans = countStr(i - 1, s);
s[i] = '1';
ans += countStr(i - 1, s);
s[i] = '0';
return ans;
# Driver code
if __name__ == "__main__" :
N = 4;
s = list('0' * N);
print(countStr(N - 1, s));
# This code is contributed by Ryuga
C
// C# implementation of the approach
// value x
using System;
class GFG
{
// Function that returns true if s contains
// three consecutive 1's
static bool check(String s)
{
int n = s.Length;
for (int i = 2; i < n; i++)
{
if (s[i] == '1' && s[i - 1] == '1' && s[i - 2] == '1')
return true;
}
return false;
}
// Function to return the count
// of required strings
static int countStr(int i, String s)
{
if (i < 0)
{
if (check(s))
return 1;
return 0;
}
char[] myNameChars = s.ToCharArray();
myNameChars[i] = '0';
s = String.Join("", myNameChars);
int ans = countStr(i - 1, s);
char[] myChar = s.ToCharArray();
myChar[i] = '1';
s = String.Join("", myChar);
ans += countStr(i - 1, s);
char[]myChar1 = s.ToCharArray();
myChar1[i] = '0';
s = String.Join("", myChar1);
return ans;
}
// Driver code
public static void Main(String []args)
{
int N = 4;
String s = "0000";
Console.WriteLine(countStr(N - 1, s));
}
}
/* This code contributed by PrinciRaj1992 */
java 描述语言
<script>
// JavaScript implementation of the approach
// value x
// Function that returns true if s contains
// three consecutive 1's
function check(s)
{
let n = s.length;
for (let i = 2; i < n; i++)
{
if (s[i] == '1' &&
s[i-1] == '1' &&
s[i-2] == '1')
return true;
}
return false;
}
// Function to return the count
// of required strings
function countStr(i,s)
{
if (i < 0)
{
if (check(s))
return 1;
return 0;
}
let myNameChars = s.split("");
myNameChars[i] = '0';
s = (myNameChars).join("");
let ans = countStr(i - 1, s);
let myChar = s.split("");
myChar[i] = '1';
s = (myChar).join("");
ans += countStr(i - 1, s);
let myChar1 = s.split("");
myChar1[i] = '0';
s = (myChar1).join("");
return ans;
}
// Driver code
let N = 4;
let s = "0000";
document.write(countStr(N - 1, s));
// This code is contributed by avanitrachhadiya2155
</script>
Output:
3
时间复杂度:O(2N) T5】空间复杂度: O(N)因为递归栈空间。 高效方法:我们使用动态编程来计算字符串的数量。 DP 的状态: dp(i,x):表示长度为 I 且在 i + 1 到 i + x 位置有 x 个连续 1 的字符串的数量。 递归: dp(i,x)= DP(I–1,0)+DP(I–1,x + 1) 递归是基于字符串在 I 位置可以有“0”或“1”的事实。
- 如果它在 I 位置有一个' 0 ',那么对于 x = 0 的第(i-1)个位置值。
- 如果它在 I 位置有一个' 1 ',则 x 的第(i-1)个位置值= x 在 i + 1 位置的值。
基础条件: dp(i,3) = 2 i 。因为一旦你有 3 个连续的 1,你就不在乎字符串的 1,2…i 位置有什么字符,因为所有的字符串都是有效的。 以下是上述方法的实施:
C++
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
int n;
// Function to return the count
// of required strings
int solve(int i, int x, int dp[][4])
{
if (i < 0)
return x == 3;
if (dp[i][x] != -1)
return dp[i][x];
// '0' at ith position
dp[i][x] = solve(i - 1, 0, dp);
// '1' at ith position
dp[i][x] += solve(i - 1, x + 1, dp);
return dp[i][x];
}
// Driver code
int main()
{
n = 4;
int dp[n][4];
for (int i = 0; i < n; i++)
for (int j = 0; j < 4; j++)
dp[i][j] = -1;
for (int i = 0; i < n; i++) {
// Base condition:
// 2^(i+1) because of 0 indexing
dp[i][3] = (1 << (i + 1));
}
cout << solve(n - 1, 0, dp);
return 0;
}
Java 语言(一种计算机语言,尤用于创建网站)
// Java implementation of the above approach
import java.util.*;
class GFG
{
static int n;
// Function to return the count
// of required strings
static int solve(int i, int x, int dp[][])
{
if (i < 0)
{
return x == 3 ? 1 : 0;
}
if (dp[i][x] != -1)
{
return dp[i][x];
}
// '0' at ith position
dp[i][x] = solve(i - 1, 0, dp);
// '1' at ith position
dp[i][x] += solve(i - 1, x + 1, dp);
return dp[i][x];
}
// Driver code
public static void main(String[] args)
{
n = 4;
int dp[][] = new int[n][4];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < 4; j++)
{
dp[i][j] = -1;
}
}
for (int i = 0; i < n; i++)
{
// Base condition:
// 2^(i+1) because of 0 indexing
dp[i][3] = (1 << (i + 1));
}
System.out.print(solve(n - 1, 0, dp));
}
}
// This code has been contributed by 29AjayKumar
Python 3
# Python 3 implementation of the approach
# Function to return the count
# of required strings
def solve(i, x, dp):
if (i < 0):
return x == 3
if (dp[i][x] != -1):
return dp[i][x]
# '0' at ith position
dp[i][x] = solve(i - 1, 0, dp)
# '1' at ith position
dp[i][x] += solve(i - 1, x + 1, dp)
return dp[i][x]
# Driver code
if __name__ == "__main__":
n = 4;
dp = [[0 for i in range(n)] for j in range(4)]
for i in range(n):
for j in range(4):
dp[i][j] = -1
for i in range(n) :
# Base condition:
# 2^(i+1) because of 0 indexing
dp[i][3] = (1 << (i + 1))
print(solve(n - 1, 0, dp))
# This code is contributed by ChitraNayal
C
// C# implementation of the above approach
using System;
class GFG
{
static int n;
// Function to return the count
// of required strings
static int solve(int i, int x, int [,]dp)
{
if (i < 0)
{
return x == 3 ? 1 : 0;
}
if (dp[i,x] != -1)
{
return dp[i,x];
}
// '0' at ith position
dp[i,x] = solve(i - 1, 0, dp);
// '1' at ith position
dp[i,x] += solve(i - 1, x + 1, dp);
return dp[i,x];
}
// Driver code
public static void Main(String[] args)
{
n = 4;
int [,]dp = new int[n, 4];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < 4; j++)
{
dp[i, j] = -1;
}
}
for (int i = 0; i < n; i++)
{
// Base condition:
// 2^(i+1) because of 0 indexing
dp[i,3] = (1 << (i + 1));
}
Console.Write(solve(n - 1, 0, dp));
}
}
// This code contributed by Rajput-Ji
java 描述语言
<script>
// Javascript implementation of the above approach
var n;
// Function to return the count
// of required strings
function solve(i , x , dp)
{
if (i < 0) {
return x == 3 ? 1 : 0;
}
if (dp[i][x] != -1) {
return dp[i][x];
}
// '0' at ith position
dp[i][x] = solve(i - 1, 0, dp);
// '1' at ith position
dp[i][x] += solve(i - 1, x + 1, dp);
return dp[i][x];
}
// Driver code
n = 4;
var dp = Array(n).fill().map(()=>Array(4).fill(0));
for (i = 0; i < n; i++) {
for (j = 0; j < 4; j++) {
dp[i][j] = -1;
}
}
for (i = 0; i < n; i++) {
// Base condition:
// 2^(i+1) because of 0 indexing
dp[i][3] = (1 << (i + 1));
}
document.write(solve(n - 1, 0, dp));
// This code contributed by gauravrajput1
</script>
Output:
3
时间复杂度:O(N) T3】空间复杂度: O(N)
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