给定一个未排序的整数数组arr []和一个整数K。任务是计算具有精确的K个完美平方数的子数组的数量。
例子:
Input: arr[] = {2, 4, 9, 3}, K = 2
Output: 4
Explanation:
Since total number of perfect square number in the array are 2.
So the 4 subarrays with 2 perfect square number are:
1.{2, 4, 9}
2.{2, 4, 9, 3}
3.{4, 9}
4.{4, 9, 3}
Input: arr[] = {4, 2, 5}, K = 3
Output: 0
简单方法:
如果计数等于K,则生成所有子数组并计算给定子数组中的理想数的数目,并增加ans变量的计数。
时间复杂度: O(N 2 )
高效方法:
- 遍历给定的数组arr []并检查元素是否为Perfect Square。
- 如果当前元素是Perfect Square,则将该索引处的array值更改为1,否则将该索引处的值更改为0。
- 现在,给定的数组将转换为Binary Array。
- 现在,使用本文讨论的方法,在上述二进制数组中找到总和等于K的子数组的计数。
下面是上述方法的实现。
C++
// C++ program to Count of subarrays having
// exactly K perfect square numbers.
#include
using namespace std;
// A utility function to check if
// the number n is perfect square
// or not
bool isPerfectSquare(long double x)
{
// Find floating point value of
// square root of x.
long double sr = sqrt(x);
// If square root is an integer
return ((sr - floor(sr)) == 0);
}
// Function to find number of subarrays
// with sum exactly equal to k
int findSubarraySum(int arr[], int n, int K)
{
// STL map to store number of subarrays
// starting from index zero having
// particular value of sum.
unordered_map prevSum;
int res = 0;
// To store the sum of element traverse
// so far
int currsum = 0;
for (int i = 0; i < n; i++) {
// Add current element to currsum
currsum += arr[i];
// If currsum = K, then a new
// subarray is found
if (currsum == K) {
res++;
}
// If currsum > K then find the
// no. of subarrays with sum
// currsum - K and exclude those
// subarrays
if (prevSum.find(currsum - K)
!= prevSum.end())
res += (prevSum[currsum - K]);
// Add currsum to count of
// different values of sum
prevSum[currsum]++;
}
// Return the final result
return res;
}
// Function to count the subarray with K
// perfect square numbers
void countSubarray(int arr[], int n, int K)
{
// Update the array element
for (int i = 0; i < n; i++) {
// If current element is perfect
// square then update the
// arr[i] to 1
if (isPerfectSquare(arr[i])) {
arr[i] = 1;
}
// Else change arr[i] to 0
else {
arr[i] = 0;
}
}
// Function Call
cout << findSubarraySum(arr, n, K);
}
// Driver Code
int main()
{
int arr[] = { 2, 4, 9, 2 };
int K = 2;
int N = sizeof(arr) / sizeof(arr[0]);
// Function Call
countSubarray(arr, N, K);
return 0;
}
Java
// Java program to Count of subarrays having
// exactly K perfect square numbers.
import java.util.*;
class GFG {
// A utility function to check if
// the number n is perfect square
// or not
static boolean isPerfectSquare(double x)
{
// Find floating point value of
// square root of x.
double sr = Math.sqrt(x);
// If square root is an integer
return ((sr - Math.floor(sr)) == 0);
}
// Function to find number of subarrays
// with sum exactly equal to k
static int findSubarraySum(int arr[],
int n, int K)
{
// Map to store number of subarrays
// starting from index zero having
// particular value of sum.
Map prevSum = new HashMap<>();
int res = 0;
// To store the sum of element
// traverse so far
int currsum = 0;
for(int i = 0; i < n; i++)
{
// Add current element to currsum
currsum += arr[i];
// If currsum = K, then a new
// subarray is found
if (currsum == K)
{
res++;
}
// If currsum > K then find the
// no. of subarrays with sum
// currsum - K and exclude those
// subarrays
if (prevSum.containsKey(currsum - K))
res += (prevSum.get(currsum - K));
// Add currsum to count of
// different values of sum
prevSum.put(currsum,
prevSum.getOrDefault(currsum, 0) + 1);
}
// Return the final result
return res;
}
// Function to count the subarray with K
// perfect square numbers
static void countSubarray(int arr[], int n, int K)
{
// Update the array element
for(int i = 0; i < n; i++)
{
// If current element is perfect
// square then update the
// arr[i] to 1
if (isPerfectSquare(arr[i]))
{
arr[i] = 1;
}
// Else change arr[i] to 0
else
{
arr[i] = 0;
}
}
// Function Call
System.out.println(findSubarraySum(arr, n, K));
}
// Driver code
public static void main(String[] args)
{
int arr[] = { 2, 4, 9, 2 };
int K = 2;
int N = arr.length;
// Function Call
countSubarray(arr, N, K);
}
}
// This code is contributed by offbeat
Python3
# Python3 program to count of subarrays
# having exactly K perfect square numbers.
from collections import defaultdict
import math
# A utility function to check if
# the number n is perfect square
# or not
def isPerfectSquare(x):
# Find floating point value of
# square root of x.
sr = math.sqrt(x)
# If square root is an integer
return ((sr - math.floor(sr)) == 0)
# Function to find number of subarrays
# with sum exactly equal to k
def findSubarraySum(arr, n, K):
# STL map to store number of subarrays
# starting from index zero having
# particular value of sum.
prevSum = defaultdict(int)
res = 0
# To store the sum of element traverse
# so far
currsum = 0
for i in range(n):
# Add current element to currsum
currsum += arr[i]
# If currsum = K, then a new
# subarray is found
if (currsum == K):
res += 1
# If currsum > K then find the
# no. of subarrays with sum
# currsum - K and exclude those
# subarrays
if ((currsum - K) in prevSum):
res += (prevSum[currsum - K])
# Add currsum to count of
# different values of sum
prevSum[currsum] += 1
# Return the final result
return res
# Function to count the subarray with K
# perfect square numbers
def countSubarray(arr, n, K):
# Update the array element
for i in range(n):
# If current element is perfect
# square then update the
# arr[i] to 1
if (isPerfectSquare(arr[i])):
arr[i] = 1
# Else change arr[i] to 0
else:
arr[i] = 0
# Function Call
print(findSubarraySum(arr, n, K))
# Driver Code
if __name__ == "__main__":
arr = [ 2, 4, 9, 2 ]
K = 2
N = len(arr)
# Function Call
countSubarray(arr, N, K)
# This code is contributed by chitranayal
C#
// C# program to count of subarrays having
// exactly K perfect square numbers.
using System;
using System.Collections;
using System.Collections.Generic;
class GFG{
// A utility function to check if
// the number n is perfect square
// or not
static bool isPerfectSquare(double x)
{
// Find floating point value of
// square root of x.
double sr = Math.Sqrt(x);
// If square root is an integer
return ((sr - Math.Floor(sr)) == 0);
}
// Function to find number of subarrays
// with sum exactly equal to k
static int findSubarraySum(int []arr,
int n, int K)
{
// Map to store number of subarrays
// starting from index zero having
// particular value of sum.
Dictionary prevSum = new Dictionary();
int res = 0;
// To store the sum of element
// traverse so far
int currsum = 0;
for(int i = 0; i < n; i++)
{
// Add current element to currsum
currsum += arr[i];
// If currsum = K, then a new
// subarray is found
if (currsum == K)
{
res++;
}
// If currsum > K then find the
// no. of subarrays with sum
// currsum - K and exclude those
// subarrays
if (prevSum.ContainsKey(currsum - K))
res += (prevSum[currsum - K]);
// Add currsum to count of
// different values of sum
if(prevSum.ContainsKey(currsum))
{
prevSum[currsum]++;
}
else
{
prevSum[currsum] = 1;
}
}
// Return the final result
return res;
}
// Function to count the subarray with K
// perfect square numbers
static void countSubarray(int []arr, int n,
int K)
{
// Update the array element
for(int i = 0; i < n; i++)
{
// If current element is perfect
// square then update the
// arr[i] to 1
if (isPerfectSquare(arr[i]))
{
arr[i] = 1;
}
// Else change arr[i] to 0
else
{
arr[i] = 0;
}
}
// Function call
Console.Write(findSubarraySum(arr, n, K));
}
// Driver Code
public static void Main(string[] args)
{
int []arr = { 2, 4, 9, 2 };
int K = 2;
int N = arr.Length;
// Function call
countSubarray(arr, N, K);
}
}
// This code is contributed by rutvik_56
输出:
4
时间复杂度: O(N)
空间复杂度: O(N)