在给定范围内找到每个数字的乘积和及其频率

给定一个整数数组arr []和一个查询数组，任务是查找给定范围[L，R]中每个数字的乘积和其频率的和，其中每个范围在查询数组中给出。

例子：

Input: arr[] = [1, 2, 1], Queries: [{1, 2}, {1, 3}] 
Output: [3, 4] 
Explanation: 
For query [1, 2], freq[1] = 1, freq[2] = 1, ans = (1 * freq[1]) + (2 * freq[2]) => ans = (1 * 1 + 2 * 1) = 3 
For query [1, 3], freq[1] = 2, freq[2] = 1; ans = (1 * freq[1]) + (2 * freq[2]) => ans = (1 * 2) + (2 * 1) = 4

Input: arr[] = [1, 1, 2, 2, 1, 3, 1, 1], Queries: [{2, 7}, {1, 6}] 
Output: [10, 10] 
Explanation: 
For query (2, 7), freq[1] = 3, freq[2] = 2, freq[3] = 3; 
ans = (1 * freq[1]) + (2 * freq[2] ) + (3 * freq[3]) 
ans = (1 * 3) + (2 * 2) + (3 * 1) = 10 
 

天真的方法：
为了解决上述问题，天真的方法是遍历查询中给定的子数组。为子数组中每个数字的频率维护一个映射，并在映射上进行迭代并计算答案。

下面是上述方法的实现：

C++

// C++ implementation to find
// sum of product of every number
// and square of its frequency
// in the given range
 
#include 
using namespace std;
 
// Function to solve queries
void answerQueries(
    int arr[], int n,
    vector >& queries)
{
 
    for (int i = 0; i < queries.size(); i++) {
 
        // Calculating answer
        // for every query
        int ans = 0;
 
        // The end points
        // of the ith query
        int l = queries[i].first - 1;
        int r = queries[i].second - 1;
 
        // map for storing frequency
        map freq;
        for (int j = l; j <= r; j++) {
 
            // Iterating over the given
            // subarray and storing
            // frequency in a map
 
            // Incrementing the frequency
            freq[arr[j]]++;
        }
 
        // Iterating over map to find answer
        for (auto& i : freq) {
 
            // adding the contribution
            // of ith number
            ans += (i.first
                    * i.second);
        }
 
        // print answer
        cout << ans << endl;
    }
}
 
// Driver code
int main()
{
 
    int arr[] = { 1, 2, 1 };
    int n = sizeof(arr) / sizeof(arr[0]);
 
    vector > queries
        = { { 1, 2 },
            { 1, 3 } };
    answerQueries(arr, n, queries);
}

Java

// Java program to find sum of
// product of every number and
// square of its frequency in
// the given range
import java.util.*;
 
class GFG{
 
// Function to solve queries    
public static void answerQueries(int[] arr,
                                 int n,
                                 int[][] queries)
{
    for(int i = 0; i < queries.length; i++)
    {
         
        // Calculating answer
        // for every query    
        int ans = 0;
 
        // The end points
        // of the ith query
        int l = queries[i][0] - 1;
        int r = queries[i][1] - 1;
 
        // Hashmap for storing frequency
        Map freq = new HashMap<>();
 
        for(int j = l; j < r + 1; j++)
        {
             
            // Iterating over the given
            // subarray and storing
            // frequency in a map
 
            // Incrementing the frequency
            freq.put(arr[j],
                     freq.getOrDefault(arr[j], 0) + 1);
        }
        for(int k: freq.keySet())
        {
             
            // Adding the contribution
            // of ith number
            ans += k * freq.get(k);
        }
         
    // Print answer
    System.out.println(ans);
    }
}
 
// Driver code
public static void main(String args[] )
{
    int[] arr = { 1, 2, 1 };
    int n = arr.length;
    int[][] queries = { { 1, 2 },
                        { 1, 3 } };
                         
    // Calling function
    answerQueries(arr, n, queries);
}
}
 
// This code contributed by dadi madhav

Python3

# Python3 implementation to find
# sum of product of every number
# and square of its frequency
# in the given range
 
# Function to solve queries
def answerQueries(arr, n, queries):
     
    for i in range(len(queries)):
 
        # Calculating answer
        # for every query
        ans = 0
 
        # The end points
        # of the ith query
        l = queries[i][0] - 1
        r = queries[i][1] - 1
 
        # Map for storing frequency
        freq = dict()
        for j in range(l, r + 1):
 
            # Iterating over the given
            # subarray and storing
            # frequency in a map
 
            # Incrementing the frequency
            freq[arr[j]] = freq.get(arr[j], 0) + 1
 
        # Iterating over map to find answer
        for i in freq:
 
            # Adding the contribution
            # of ith number
            ans += (i * freq[i])
 
        # Print answer
        print(ans)
 
# Driver code
if __name__ == '__main__':
     
    arr = [ 1, 2, 1 ]
    n = len(arr)
 
    queries = [ [ 1, 2 ],
                [ 1, 3 ] ]
                 
    answerQueries(arr, n, queries)
 
# This code is contributed by mohit kumar 29

C#

// C# program to find sum of
// product of every number and 
// square of its frequency in 
// the given range
using System;
using System.Collections.Generic;
 
class GFG{
     
// Function to solve queries
public static void answerQueries(int[] arr, int n,
                                 int[,] queries)
{
    for(int i = 0; i < queries.GetLength(0); i++)
    {
         
        // Calculating answer 
        // for every query 
        int ans = 0;
         
        // The end points 
        // of the ith query
        int l = queries[i, 0] - 1;
        int r = queries[i, 1] - 1;
         
        // Hashmap for storing frequency
        Dictionary freq = new Dictionary();
        for(int j = l; j < r+ 1; j++)
        {
             
            // Iterating over the given 
            // subarray and storing 
            // frequency in a map 
 
            // Incrementing the frequency
            freq[arr[j]] = freq.GetValueOrDefault(arr[j], 0) + 1;
        }
        foreach(int k in freq.Keys)
        {
             
            // Adding the contribution 
            // of ith number
            ans += k * freq[k];
        }
         
        // Print answer
        Console.WriteLine(ans);
    }
}
 
// Driver code
static public void Main()
{
    int[] arr = { 1, 2, 1 };
    int n = arr.Length;
    int[,] queries = { { 1, 2 }, { 1, 3 } };
     
    // Calling function
    answerQueries(arr, n, queries);
}
}
 
// This code is contributed by avanitrachhadiya2155

输出：

3
4

时间复杂度： O(Q * N)
辅助空间复杂度： O(N)

高效方法：
为了优化上述方法，我们将尝试使用Mo’s算法来实现该问题。

• 首先根据查询的块对查询进行排序$\sqrt{N}$使用自定义比较器调整大小，并将每个查询的索引存储在映射中以按顺序打印。
• 现在，我们将维护两个指针L和R，它们遍历数组以回答查询。当我们移动指针时，如果我们要在范围内添加一些数字，我们将首先从答案中删除其前一个频率的贡献，然后增加频率，最后在答案中添加新频率的贡献。
• 如果我们从范围中删除某些元素，我们将做同样的事情，删除此数字现有频率的贡献，减少频率，添加其新频率的贡献。

下面是上述方法的实现：

C++

// C++ implementation to find sum
// of product of every number
// and square of its frequency
// in the given range
 
#include 
using namespace std;
 
// Stores frequency
const int N = 1e5 + 5;
 
// Frequnecy array
vector freq(N);
 
int sq;
 
// Function for comparator
bool comparator(
    pair& a,
    pair& b)
{
    // comparator for sorting
    // accoring to the which query
    // lies in the whcih block;
    if (a.first / sq != b.first / sq)
        return a.first < b.first;
 
    // if same block,
    // return which query end first
    return a.second < b.second;
}
 
// Function to add numbers in range
void add(int x, int& ans, int arr[])
{
    // removing contribution of
    // old frequency from answer
    ans -= arr[x]
           * freq[arr[x]];
 
    // incrementing the frequency
    freq[arr[x]]++;
 
    // adding contribution of
    // new frequency to answer
    ans += arr[x]
           * freq[arr[x]];
}
 
void remove(int x, int& ans, int arr[])
{
    // removing contribution of
    // old frequency from answer
    ans -= arr[x]
           * freq[arr[x]];
 
    // Decrement the frequency
    freq[arr[x]]--;
 
    // adding contribution of
    // new frequency to answer
    ans += arr[x]
           * freq[arr[x]];
}
 
// Function to answer the queries
void answerQueries(
    int arr[], int n,
    vector >& queries)
{
 
    sq = sqrt(n) + 1;
 
    vector answer(
        int(queries.size()));
 
    // map for storing the
    // index of each query
    map, int> idx;
 
    // Store the index of queries
    for (int i = 0; i < queries.size(); i++)
        idx[queries[i]] = i;
 
    // Sort the queries
    sort(queries.begin(),
         queries.end(),
         comparator);
 
    int ans = 0;
 
    // pointers for iterating
    // over the array
    int x = 0, y = -1;
    for (auto& i : queries) {
 
        // iterating over all
        // the queries
        int l = i.first - 1, r = i.second - 1;
        int id = idx[i];
 
        while (x > l) {
            // decrementing the left
            // pointer and adding the
            // xth number's contribution
            x--;
            add(x, ans, arr);
        }
        while (y < r) {
 
            // incrementing the right
            // pointer and adding the
            // yth number's contribution
            y++;
            add(y, ans, arr);
        }
        while (x < l) {
 
            // incrementing the left pointer
            // and removing the
            // xth number's contribution
            remove(x, ans, arr);
            x++;
        }
        while (y > r) {
 
            // decrementing the right
            // pointer and removing the
            // yth number's contribution
            remove(y, ans, arr);
            y--;
        }
        answer[id] = ans;
    }
 
    // printing the answer of queries
    for (int i = 0; i < queries.size(); i++)
        cout << answer[i] << endl;
}
 
// Driver Code
int main()
{
 
    int arr[] = { 1, 1, 2, 2, 1, 3, 1, 1 };
    int n = sizeof(arr) / sizeof(arr[0]);
 
    vector > queries
        = { { 2, 7 },
            { 1, 6 } };
    answerQueries(arr, n, queries);
}

输出：

10
10

时间复杂度： O(N * sqrt {N})
辅助空间复杂度： O(N)