计算将数组拆分为子数组的方法,使得第 i 个子数组的总和可以被 i 整除
给定一个由N个整数组成的数组arr[] ,任务是找到将数组拆分为非空子数组的方法数,使得第i个子数组的总和可以被i整除。
例子:
Input: arr[] = {1, 2, 3, 4}
Output: 3
Explanation:
Following are the number of ways to split the array into non-empty subarray as:
- Split the array into subarray as {1}, {2}, {3}, {4} and the sum of each of the ith subarray is divisible by i.
- Split the array into subarray as {1, 2, 3}, {4} and each of the ith subarray is divisible by i.
- Split the array into subarray as {1, 2, 3, 4} and each of the ith subarray is divisible by i.
As there are only 3 possible ways to split the given array. Therefore, print 3.
Input: arr[ ] = {1, 1, 1, 1, 1}
Output: 3
方法:给定的问题可以通过使用动态规划来解决,因为它具有重叠的子问题和最优的子结构。子问题可以使用记忆存储在dp[][] 表中,其中dp[i][j]将分区数存储到arr[]的第 i 个索引到j个非空子数组中。这个想法可以使用 Prefix Sum 数组pre[]来实现,该数组存储所有元素的总和,直到每个i th索引,并且dp[i][j]可以计算为dp[k][j – 1]的总和k < i的所有值使得(pre[i] – pre[k])是j的倍数。请按照以下步骤解决给定的问题:
- 初始化一个变量,比如count ,它将给定数组的可能拆分次数存储到子数组中。
- 找到数组的前缀和并将其存储在另一个数组中,比如prefix[] 。
- 初始化一个二维数组,例如dp[][] ,它存储所有重叠状态dp[i][j] 。
- 使用变量i迭代范围[0, N]并使用变量j嵌套迭代范围[N, 0]并执行以下步骤:
- 将dp[j + 1][pre[i + 1] % (j + 1)]的值增加dp[j][pre[i + 1] % j]的值,因为这表示分区的计数,直到索引i到j可被(j + 1)整除的连续子序列中。
- 如果i的值为(N – 1) ,则将count的值更新为dp[j][pre[i + 1] % j] 。
- 完成上述步骤后,打印count的值作为结果。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
// Function to count ways to split
// an array into subarrays such that
// sum of the i-th subarray is
// divisible by i
int countOfWays(int arr[], int N)
{
// Stores the prefix sum of array
int pre[N + 1] = { 0 };
for (int i = 0; i < N; i++) {
// Find the prefix sum
pre[i + 1] = pre[i] + arr[i];
}
// Initialize dp[][] array
int dp[N + 1][N + 1];
memset(dp, 0, sizeof(dp));
dp[1][0]++;
// Stores the count of splitting
int ans = 0;
// Iterate over the range [0, N]
for (int i = 0; i < N; i++) {
for (int j = N; j >= 1; j--) {
// Update the dp table
dp[j + 1][pre[i + 1] % (j + 1)]
+= dp[j][pre[i + 1] % j];
// If the last index is
// reached, then add it
// to the variable ans
if (i == N - 1) {
ans += dp[j][pre[i + 1] % j];
}
}
}
// Return the possible count of
// splitting of array into subarrays
return ans;
}
// Driver Code
int main()
{
int arr[] = { 1, 2, 3, 4 };
int N = sizeof(arr) / sizeof(arr[0]);
cout << countOfWays(arr, N);
return 0;
}
Java
// Java program for the above approach
public class GFG {
// Function to count ways to split
// an array into subarrays such that
// sum of the i-th subarray is
// divisible by i
static int countOfWays(int arr[], int N)
{
// Stores the prefix sum of array
int pre[] = new int[N + 1];
for (int i = 0; i < N; i++) {
// Find the prefix sum
pre[i + 1] = pre[i] + arr[i];
}
// Initialize dp[][] array
int dp[][] = new int [N + 2][N + 2];
dp[1][0]++;
// Stores the count of splitting
int ans = 0;
// Iterate over the range [0, N]
for (int i = 0; i < N; i++) {
for (int j = N; j >= 1; j--) {
// Update the dp table
dp[j + 1][pre[i + 1] % (j + 1)]
+= dp[j][pre[i + 1] % j];
// If the last index is
// reached, then add it
// to the variable ans
if (i == N - 1) {
ans += dp[j][pre[i + 1] % j];
}
}
}
// Return the possible count of
// splitting of array into subarrays
return ans;
}
// Driver Code
public static void main (String[] args) {
int arr[] = { 1, 2, 3, 4 };
int N = arr.length;
System.out.println(countOfWays(arr, N));
}
}
// This code is contributed by AnkThon
Python3
# Python3 program for the above approach
import numpy as np
# Function to count ways to split
# an array into subarrays such that
# sum of the i-th subarray is
# divisible by i
def countOfWays(arr, N) :
# Stores the prefix sum of array
pre = [ 0 ] * (N + 1);
for i in range(N) :
# Find the prefix sum
pre[i + 1] = pre[i] + arr[i];
# Initialize dp[][] array
dp = np.zeros((N + 2,N + 2));
dp[1][0] += 1;
# Stores the count of splitting
ans = 0;
# Iterate over the range [0, N]
for i in range(N) :
for j in range(N, 0, -1) :
# Update the dp table
dp[j + 1][pre[i + 1] % (j + 1)] += dp[j][pre[i + 1] % j];
# If the last index is
# reached, then add it
# to the variable ans
if (i == N - 1) :
ans += dp[j][pre[i + 1] % j];
# Return the possible count of
# splitting of array into subarrays
return ans;
# Driver Code
if __name__ == "__main__" :
arr = [ 1, 2, 3, 4 ];
N = len(arr);
print(countOfWays(arr, N));
# This code is contributed by AnkThon
C#
// C# program for the above approach
using System;
public class GFG
{
// Function to count ways to split
// an array into subarrays such that
// sum of the i-th subarray is
// divisible by i
static int countOfWays(int[] arr, int N)
{
// Stores the prefix sum of array
int[] pre = new int[N + 1];
for (int i = 0; i < N; i++) {
// Find the prefix sum
pre[i + 1] = pre[i] + arr[i];
}
// Initialize dp[][] array
int[,] dp = new int [N + 2, N + 2];
dp[1, 0]++;
// Stores the count of splitting
int ans = 0;
// Iterate over the range [0, N]
for (int i = 0; i < N; i++) {
for (int j = N; j >= 1; j--) {
// Update the dp table
dp[j + 1, pre[i + 1] % (j + 1)]
+= dp[j, pre[i + 1] % j];
// If the last index is
// reached, then add it
// to the variable ans
if (i == N - 1) {
ans += dp[j, pre[i + 1] % j];
}
}
}
// Return the possible count of
// splitting of array into subarrays
return ans;
}
// Driver Code
public static void Main(String []args) {
int[] arr = { 1, 2, 3, 4 };
int N = arr.Length;
Console.WriteLine(countOfWays(arr, N));
}
}
// This code is contributed by sanjoy_62.
Javascript
输出
3
时间复杂度: O(N 2 )
辅助空间: O(N 2 )