Q 查询的索引范围 [L, R] 中具有奇数除数的元素的计数

给定一个由N 个正整数组成的数组arr[]和查询的数量Q ，每个查询包含两个数字L和R 。任务是计算数组中具有奇数个从索引L 到 R的除数的元素的数量。

例子：

Input: arr[] = [2, 4, 5, 6, 9], Q = 3, Query[][] = { {0, 2}, {1, 3}, {1, 4} } 
Output: 1 1 2 
Explanation: 
1st query: in 2 4 5 only 4 has an odd number of divisors. 
2nd query: in 4 5 6 only 4 has an odd number of divisors. 
3rd query: in 4 5 6 9 only 4, 9 has an odd number of divisors.

Input: arr[] = [1, 16, 5, 4, 9], Q = 2, Query[][] = { {1, 3}, {0, 2} } 
Output: 2 1 

朴素的方法：朴素的方法是为每个查询从L 到 R迭代数组，并计算范围[L, R] 中具有奇数除数的元素。如果是，则为该查询计算该元素。

时间复杂度： O(Q * N * sqrt(N))
辅助空间： O(1)

有效的方法：我们可以观察到，只有在完全平方的情况下，除数的数量才是奇数。因此，最好的解决方案是检查给定的数字是否是[L, R]范围内的完全平方数。以下是步骤：

1. 用值0初始化大小为N的数组dp[] 。
2. 遍历给定的数组arr[] ，如果其中的任何元素是完美正方形，则将dp[]中该索引处的值更新为1 。
3. 为了有效地计算每个查询的答案，我们将预先计算答案。
4. 我们将对数组dp[]进行前缀求和，对于 [L, R] 范围内的每个查询，答案将如下：

OddDivisorCount(L, R) = DP[R] - DP[L-1]

下面是上述方法的实现：

C++

// C++ program for the above approach
#include 
using namespace std;
 
// Function count the number of elements
// having odd number of divisors
void OddDivisorsCount(
    int n, int q, int a[],
    vector > Query)
{
    // Initialise dp[] array
    int DP[n] = { 0 };
 
    // Precomputation
    for (int i = 0; i < n; i++) {
        int x = sqrt(a[i]);
 
        if (x * x == a[i])
            DP[i] = 1;
    }
 
    // Find the Prefix Sum
    for (int i = 1; i < n; i++) {
        DP[i] = DP[i - 1] + DP[i];
    }
 
    int l, r;
 
    // Iterate for each query
    for (int i = 0; i < q; i++) {
        l = Query[i].first;
        r = Query[i].second;
 
        // Find the answer for each query
        if (l == 0) {
            cout << DP[r] << endl;
        }
        else {
            cout << DP[r] - DP[l - 1]
                 << endl;
        }
    }
}
 
// Driver Code
int main()
{
    int N = 5;
    int Q = 3;
 
    // Given array arr[]
    int arr[] = { 2, 4, 5, 6, 9 };
 
    // Given Query
    vector > Query
        Query
        = { { 0, 2 }, { 1, 3 }, { 1, 4 } };
 
    // Function Call
    OddDivisorsCount(N, Q, arr, Query);
 
    return 0;
}

Java

// Java program for the above approach
import java.util.*;
 
class GFG{
     
static class pair
{
    int first, second;
    public pair(int first, int second)
    {
        this.first = first;
        this.second = second;
    }
}
 
// Function count the number of elements
// having odd number of divisors
static void OddDivisorsCount(int n, int q,
                             int a[],
                             pair []Query)
{
     
    // Initialise dp[] array
    int DP[] = new int[n];
 
    // Precomputation
    for(int i = 0; i < n; i++)
    {
       int x = (int)Math.sqrt(a[i]);
        
       if (x * x == a[i])
           DP[i] = 1;
    }
     
    // Find the Prefix Sum
    for(int i = 1; i < n; i++)
    {
       DP[i] = DP[i - 1] + DP[i];
    }
     
    int l, r;
 
    // Iterate for each query
    for(int i = 0; i < q; i++)
    {
       l = Query[i].first;
       r = Query[i].second;
        
       // Find the answer for each query
       if (l == 0)
       {
           System.out.print(DP[r] + "\n");
       }
       else
       {
           System.out.print(DP[r] -
                            DP[l - 1] + "\n");
       }
    }
}
 
// Driver Code
public static void main(String[] args)
{
    int N = 5;
    int Q = 3;
 
    // Given array arr[]
    int arr[] = { 2, 4, 5, 6, 9 };
 
    // Given Query
    pair []Query = { new pair(0, 2),
                     new pair(1, 3),
                     new pair(1, 4) };
 
    // Function Call
    OddDivisorsCount(N, Q, arr, Query);
}
}
 
// This code is contributed by amal kumar choubey

Python3

# Python3 program for the above approach
import math
 
# Function count the number of elements
# having odd number of divisors
def OddDivisorsCount(n, q, a, Query):
     
    # Initialise dp[] array
    DP = [0 for i in range(n)]
  
    # Precomputation
    for i in range(n):
        x = int(math.sqrt(a[i]));
  
        if (x * x == a[i]):
            DP[i] = 1;
  
    # Find the Prefix Sum
    for i in range(1, n):
        DP[i] = DP[i - 1] + DP[i];
  
    l = 0
    r = 0
  
    # Iterate for each query
    for i in range(q):
        l = Query[i][0];
        r = Query[i][1];
  
        # Find the answer for each query
        if (l == 0):
            print(DP[r])
        else:
            print(DP[r] - DP[l - 1])
 
# Driver code
if __name__=="__main__":
     
    N = 5;
    Q = 3;
  
    # Given array arr[]
    arr = [ 2, 4, 5, 6, 9 ]
  
    # Given Query
    Query = [ [ 0, 2 ],
              [ 1, 3 ],
              [ 1, 4 ] ]
  
    # Function call
    OddDivisorsCount(N, Q, arr, Query);
 
# This code is contributed by rutvik_56

C#

// C# program for the above approach
using System;
 
class GFG{
class pair
{
    public int first, second;
    public pair(int first, int second)
    {
        this.first = first;
        this.second = second;
    }
}
 
// Function count the number of elements
// having odd number of divisors
static void OddDivisorsCount(int n, int q,
                             int []a,
                             pair []Query)
{
     
    // Initialise []dp array
    int []DP = new int[n];
 
    // Precomputation
    for(int i = 0; i < n; i++)
    {
       int x = (int)Math.Sqrt(a[i]);
       if (x * x == a[i])
           DP[i] = 1;
    }
     
    // Find the Prefix Sum
    for(int i = 1; i < n; i++)
    {
       DP[i] = DP[i - 1] + DP[i];
    }
     
    int l, r;
 
    // Iterate for each query
    for(int i = 0; i < q; i++)
    {
       l = Query[i].first;
       r = Query[i].second;
        
       // Find the answer for each query
       if (l == 0)
       {
           Console.Write(DP[r] + "\n");
       }
       else
       {
           Console.Write(DP[r] -
                         DP[l - 1] + "\n");
       }
    }
}
 
// Driver Code
public static void Main(String[] args)
{
    int N = 5;
    int Q = 3;
 
    // Given array []arr
    int []arr = { 2, 4, 5, 6, 9 };
 
    // Given Query
    pair []Query = { new pair(0, 2),
                     new pair(1, 3),
                     new pair(1, 4) };
 
    // Function Call
    OddDivisorsCount(N, Q, arr, Query);
}
}
 
// This code is contributed by gauravrajput1

Javascript

 
// Javascript program for the above approach
 
// Function count the number of elements
// having odd number of divisors
function OddDivisorsCount(
    n, q, a,Query)
{
 
    // Initialise dp[] array
    var DP = new Array(n).fill(0);
 
    // Precomputation
    for (var i = 0; i < n; i++) {
        var x = Math.sqrt(a[i]);
 
        if (x * x == a[i])
            DP[i] = 1;
    }
 
    // Find the Prefix Sum
    for (var i = 1; i < n; i++) {
        DP[i] = DP[i - 1] + DP[i];
    }
 
    var l, r;
 
    // Iterate for each query
    for (var i = 0; i < q; i++) {
        l = Query[i][0];
        r = Query[i][1];
 
        // Find the answer for each query
        if (l == 0) {
            document.write( DP[r] + "<br>");
        }
        else {
            document.write( DP[r] - DP[l - 1]+ "<br>");
        }
    }
}
 
// Driver Code
var N = 5;
var Q = 3;
 
// Given array arr[]
var arr = [2, 4, 5, 6, 9];
 
// Given Query
var Query
    = [[0, 2 ], [1, 3 ], [1, 4 ]];
     
// Function Call
OddDivisorsCount(N, Q, arr, Query);
 
// This code is contributed by noob2000.

输出：

1
1
2

时间复杂度：

• 预计算：O(N)
• 对于每个查询：O(1)

辅助空间： O(1)

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