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📜  数组 B[] 中存在于 [A[i] + K, A[i] – K] 范围内的最大元素数

📅  最后修改于: 2022-05-13 01:56:09.116000             🧑  作者: Mango

数组 B[] 中存在于 [A[i] + K, A[i] – K] 范围内的最大元素数

给定两个大小为N的数组A[]和大小为MB[]和一个整数K ,任务是为每个元素A[i]从数组B[]中选择最多一个元素,使得该元素位于范围内[A[i] – K, A[i] + K] (对于0 <= i <= N – 1 。打印可以从数组B[] 中选择的最大元素数。

例子:

朴素方法:解决问题的最简单方法是遍历数组A[] ,在数组B[]中线性搜索,如果选择了数组B[]的值,则标记为已访问。最后,打印数组B[]中可以选择的最大元素数。

时间复杂度: O(N * M)
辅助空间: O(M)

有效方法:对数组A[]B[]进行排序,并尝试分配B[]的元素在[A[i] – K, A[i] + K] 范围内。请按照以下步骤解决问题:

  • 对数组A[]B[] 进行排序。
  • 初始化一个变量,比如j0,以在数组B[]中跟踪并计数0以存储答案。
  • [0, N – 1]范围内迭代并执行以下步骤:
    • 在 while 循环中迭代直到j < MB[j]< A[i] – K,然后将j的值增加1。
    • 如果j的值小于M并且B[j]大于等于A[i] – K并且B[j]小于等于A[i] + K则将countj的值增加1.
  • 完成上述步骤后,打印count的值作为答案的最终值。

下面是上述方法的实现。

C++
// C++ program for the above approach
#include 
using namespace std;
 
// Function to count the maximum number of
// elements that can be selected from array
// B[] lying in the range [A[i] - K, A[i] + K]
int selectMaximumEle(int n, int m, int k,
                     int A[], int B[])
{
    // Sort both arrays
    sort(A, A + n);
    sort(B, B + m);
 
    int j = 0, count = 0;
 
    // Iterate in the range[0, N-1]
    for (int i = 0; i < n; i++) {
         
        // Increase the value of j till
        // B[j] is smaller than A[i]
        while (j < m && B[j] < A[i] - k) {
            j++;
        }
 
        // Increasing count variable when B[j]
        // lies in the range [A[i]-K, A[i]+K]
        if (j < m && B[j] >= A[i] - k
            && B[j] <= A[i] + k) {
           
            count++;
            j++;
        }
    }
     
    // Finally, return the answer
    return count;
}
 
// Driver Code
int main()
{
    // Given Input
    int N = 3, M = 3, K = 10;
    int A[] = { 10, 20, 30 };
    int B[] = { 5, 10, 15 };
     
    // Function Call
    cout << selectMaximumEle(N, M, K, A, B) << endl;
    return 0;
}


Java
// Java program for the above approach
import java.io.*;
import java.util.Arrays;
 
class GFG
{
   
    // Function to count the maximum number of
    // elements that can be selected from array
    // B[] lying in the range [A[i] - K, A[i] + K]
    static int selectMaximumEle(int n, int m, int k,
                                int A[], int B[])
    {
        // Sort both arrays
        Arrays.sort(A);
        Arrays.sort(B);
 
        int j = 0, count = 0;
 
        // Iterate in the range[0, N-1]
        for (int i = 0; i < n; i++) {
 
            // Increase the value of j till
            // B[j] is smaller than A[i]
            while (j < m && B[j] < A[i] - k) {
                j++;
            }
 
            // Increasing count variable when B[j]
            // lies in the range [A[i]-K, A[i]+K]
            if (j < m && B[j] >= A[i] - k
                && B[j] <= A[i] + k) {
 
                count++;
                j++;
            }
        }
 
        // Finally, return the answer
        return count;
    }
 
    // Driver Code
    public static void main(String[] args)
    {
        // Given Input
        int N = 3, M = 3, K = 10;
        int A[] = { 10, 20, 30 };
        int B[] = { 5, 10, 15 };
 
        // Function Call
        System.out.println(selectMaximumEle(N, M, K, A, B));
    }
}
 
// This code is contributed by Potta Lokesh


Python3
# Python3 program for the above approach
 
# Function to count the maximum number of
# elements that can be selected from array
# B[] lying in the range [A[i] - K, A[i] + K]
def selectMaximumEle(n, m, k, A, B):
     
    # Sort both arrays
    A.sort()
    B.sort()
 
    j = 0
    count = 0
 
    # Iterate in the range[0, N-1]
    for i in range(n):
 
        # Increase the value of j till
        # B[j] is smaller than A[i]
        while (j < m and B[j] < A[i] - k):
            j += 1
 
        # Increasing count variable when B[j]
        # lies in the range [A[i]-K, A[i]+K]
        if (j < m and B[j] >= A[i] - k
                and B[j] <= A[i] + k):
 
            count += 1
            j += 1
 
    # Finally, return the answer
    return count
 
# Driver Code
 
# Given Input
N = 3
M = 3
K = 10
A = [ 10, 20, 30 ]
B = [ 5, 10, 15 ]
 
# Function Call
print(selectMaximumEle(N, M, K, A, B))
 
# This code is contributed by gfgking


C#
// C# program for the above approach
using System;
 
class GFG{
     
// Function to count the maximum number of
// elements that can be selected from array
// B[] lying in the range [A[i] - K, A[i] + K]
static int selectMaximumEle(int n, int m, int k,
                            int[] A, int[] B)
{
     
    // Sort both arrays
    Array.Sort(A);
    Array.Sort(B);
 
    int j = 0, count = 0;
 
    // Iterate in the range[0, N-1]
    for(int i = 0; i < n; i++)
    {
         
        // Increase the value of j till
        // B[j] is smaller than A[i]
        while (j < m && B[j] < A[i] - k)
        {
            j++;
        }
 
        // Increasing count variable when B[j]
        // lies in the range [A[i]-K, A[i]+K]
        if (j < m && B[j] >= A[i] - k &&
                     B[j] <= A[i] + k)
        {
            count++;
            j++;
        }
    }
 
    // Finally, return the answer
    return count;
}
 
// Driver code
public static void Main()
{
     
    // Given Input
    int N = 3, M = 3, K = 10;
    int[] A = { 10, 20, 30 };
    int[] B = { 5, 10, 15 };
 
    // Function Call
    Console.WriteLine(selectMaximumEle(N, M, K, A, B));
}
}
 
// This code is contributed by avijitmondal1998


Javascript


输出:
2

时间复杂度: O(N*log(N))
辅助空间: O(N)