Java程序通过旋转最大化给定数组中对应相同元素的计数
给定两个包含N个整数的数组arr1[]和arr2[] ,并且数组arr1[]具有不同的元素。任务是通过对数组arr1[]执行循环左移或右移来找到给定数组中对应相同元素的最大计数。
例子:
Input: arr1[] = { 6, 7, 3, 9, 5 }, arr2[] = { 7, 3, 9, 5, 6 }
Output: 5
Explanation:
By performing cyclic left shift on array arr1[] by 1.
Updated array arr1[] = {7, 3, 9, 5, 6}.
This rotation contains a maximum number of equal elements between array arr1[] and arr2[].
Input: arr1[] = {1, 3, 2, 4}, arr2[] = {4, 2, 3, 1}
Output: 2
Explanation:
By performing cyclic left shift on array arr1[] by 1.
Updated array arr1[] = {3, 2, 4, 1}
This rotation contains a maximum number of equal elements between array arr1[] and arr2[].
方法:这个问题可以使用贪心方法来解决。以下是步骤:
- 将数组arr2[]的所有元素的位置存储在一个数组中(比如store[] )。
- 对于数组arr1[]中的每个元素,执行以下操作:
- 找出arr2[]中当前元素的位置与arr1[]中的位置之间的差异(比如diff )。
- 如果diff小于 0 则将 diff 更新为(N – diff) 。
- 将当前差异差异的频率存储在地图中。
- 经过上述步骤,map 中存储的最大频率是在arr1[]上旋转后相等元素的最大数量。
下面是上述方法的实现:
Java
// Java program of the above approach
import java.util.*;
class GFG{
// Function that prints maximum
// equal elements
static void maximumEqual(int a[],
int b[], int n)
{
// Vector to store the index
// of elements of array b
int store[] = new int[(int) 1e5];
// Storing the positions of
// array B
for (int i = 0; i < n; i++)
{
store[b[i]] = i + 1;
}
// frequency array to keep count
// of elements with similar
// difference in distances
int ans[] = new int[(int) 1e5];
// Iterate through all element in arr1[]
for (int i = 0; i < n; i++)
{
// Calculate number of
// shift required to
// make current element
// equal
int d = Math.abs(store[a[i]] - (i + 1));
// If d is less than 0
if (store[a[i]] < i + 1)
{
d = n - d;
}
// Store the frequency
// of current diff
ans[d]++;
}
int finalans = 0;
// Compute the maximum frequency
// stored
for (int i = 0; i < 1e5; i++)
finalans = Math.max(finalans,
ans[i]);
// Printing the maximum number
// of equal elements
System.out.print(finalans + "
");
}
// Driver Code
public static void main(String[] args)
{
// Given two arrays
int A[] = { 6, 7, 3, 9, 5 };
int B[] = { 7, 3, 9, 5, 6 };
int size = A.length;
// Function Call
maximumEqual(A, B, size);
}
}
// This code is contributed by sapnasingh4991
5
时间复杂度: O(N)
辅助空间: O(N)
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