给定N个元素组成的数组A [] ,其值从1到N具有重复项,则任务是找到包含给定数量num的子数组的总数,精确地是K次。
例子:
Input: A[] = {1, 2, 1, 5, 1}, num = 1, K = 2
Output: 2
Explanation:
Subarrays {1, 2, 1, 5}, {1, 2, 1}, {2, 1, 5, 1} and {1, 5, 1} contains 1 exactly twice.
Input: A[] = {1, 5, 3, 5, 7, 5, 6, 5, 10, 5, 12, 5}, num = 5, K = 3
Output: 14
天真的方法:一个简单的解决方案是生成给定数组的所有子数组,并对给定数量恰好出现K次的子数组的数量进行计数。
时间复杂度: O(N 2 ) ,其中N是给定数组的大小。
高效方法:
- 存储包含给定数字num的索引。
- 遍历indexs []数组,并计算每K个索引可能的子数组数。
- 任何K个num索引的可能子数组数目等于
Product of (ith index – (i-1)th index) and ( (i + K)th index – (i+(K – 1))th index)
- 所有这些子数组的计数给出了给定数组中所有可能的子数组的计数。
下面是上述方法的实现:
C++
// C++ program to count subarrays
// which contains a given number
// exactly K times
#include
using namespace std;
// Function to return
// the count of subarrays
// which contains given
// number exactly K times
int countSubarrays(int A[], int num,
int K, int size)
{
// Store the indices
// containing num
vector indices;
for (int i = 0; i < size; i++) {
if (A[i] == num)
indices.push_back(i);
}
// If the occurence of num
// in the entire array
// is less than K
if (indices.size() < K)
// No such subarrays are possible
return 0;
// Store the previous
// index of num
int prev = -1;
// Store the count of
// total subarrays
int ans = 0;
// Store the count of
// subarrays for current
// K occurences
int ctr = 0;
for (int i = 0;
i <= indices.size() - K;
i++) {
ctr = indices[i] - prev;
if (i < indices.size() - K) {
ctr *= (indices[i + K]
- indices[i + K - 1]);
}
else {
ctr *= ((size - 1)
- indices[i + K - 1] + 1);
}
ans += ctr;
prev = indices[i];
}
return ans;
}
// Driver code
int main()
{
int A[] = { 1, 5, 3, 5, 7, 5, 6,
5, 10, 5, 12, 5 };
int num = 5;
int K = 3;
int size = sizeof(A) / sizeof(int);
cout << countSubarrays(A, num, K, size);
return 0;
}
Java
// Java program to count subarrays
// which contains a given number
// exactly K times
import java.util.*;
public class Main {
// Function to return
// the count of subarrays
// which contains given
// number exactly K times
public static int countSubarrays(
int A[], int num,
int K, int size)
{
// Store the indices
// containing num
ArrayList indices
= new ArrayList();
for (int i = 0; i < size; i++) {
if (A[i] == num) {
indices.add(i);
}
}
if (indices.size() < K) {
return 0;
}
// Store the previous
// index of num
int prev = -1;
// Store the count of
// total subarrays
int ans = 0;
// Store the count of
// subarrays for current
// K occurences
int ctr = 0;
for (int i = 0;
i <= indices.size() - K;
i++) {
ctr = indices.get(i) - prev;
if (i < indices.size() - K) {
ctr *= (indices.get(i + K)
- indices.get(i + K - 1));
}
else {
ctr *= ((size - 1)
- indices.get(i + K - 1) + 1);
}
ans += ctr;
prev = indices.get(i);
}
return ans;
}
// Driver code
public static void main(String[] args)
{
int A[] = { 1, 5, 3, 5, 7, 5,
6, 5, 10, 5, 12, 5 };
int num = 5;
int K = 3;
int size = A.length;
System.out.println(
countSubarrays(A, num, K, size));
}
}
Python3
# Python3 program to
# count subarrays which
# contains a given number
# exactly K times
# Function to return
# the count of subarrays
# which contains given
# number exactly K times
def countSubarrays(A, num,
K, size):
# Store the indices
# containing num
indices = []
for i in range (size):
if (A[i] == num):
indices.append(i)
# If the occurence of num
# in the entire array
# is less than K
if (len(indices) < K):
# No such subarrays are possible
return 0
# Store the previous
# index of num
prev = -1
# Store the count of
# total subarrays
ans = 0
# Store the count of
# subarrays for current
# K occurences
ctr = 0
for i in range (len(indices) - K + 1):
ctr = indices[i] - prev
if (i < len(indices) - K):
ctr *= (indices[i + K] -
indices[i + K - 1])
else:
ctr *= ((size - 1) -
indices[i + K - 1] + 1)
ans += ctr
prev = indices[i]
return ans
# Driver code
if __name__ == "__main__":
A = [1, 5, 3, 5, 7, 5,
6, 5, 10, 5, 12, 5]
num = 5
K = 3
size = len(A)
print(countSubarrays(A, num, K, size))
# This code is contributed by Chitranayal
C#
// C# program to count subarrays
// which contains a given number
// exactly K times
using System;
using System.Collections;
using System.Collections.Generic;
class GFG{
// Function to return the count of subarrays
// which contains given number exactly K times
public static int countSubarrays(int[] A, int num,
int K, int size)
{
// Store the indices
// containing num
ArrayList indices = new ArrayList();
for(int i = 0; i < size; i++)
{
if (A[i] == num)
{
indices.Add(i);
}
}
if (indices.Count < K)
{
return 0;
}
// Store the previous
// index of num
int prev = -1;
// Store the count of
// total subarrays
int ans = 0;
// Store the count of
// subarrays for current
// K occurences
int ctr = 0;
for(int i = 0;
i <= indices.Count - K;
i++)
{
ctr = (int)indices[i] - prev;
if (i < indices.Count - K)
{
ctr *= ((int)indices[i + K] -
(int)indices[i + K - 1]);
}
else
{
ctr *= ((size - 1) -
(int)indices[i + K - 1] + 1);
}
ans += ctr;
prev = (int)indices[i];
}
return ans;
}
// Driver code
static public void Main()
{
int[] A = { 1, 5, 3, 5, 7, 5,
6, 5, 10, 5, 12, 5 };
int num = 5;
int K = 3;
int size = A.Length;
Console.WriteLine(countSubarrays(A, num, K, size));
}
}
// This code is contributed by akhilsaini
Javascript
输出:
14
时间复杂度: O(N) ,其中N是数组的大小。
空间复杂度: O(N)
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