给定一个由N个元素组成的数组arr [] ,任务是从数组中删除一个元素,以使该数组的OR值最小。打印最小值。
例子:
Input: arr[] = {1, 2, 3}
Output: 3
All possible ways of deleting one element and their
corresponding OR values will be:
a) Remove 1 -> (2 | 3) = 3
b) Remove 2 -> (1 | 3) = 3
c) Remove 3 -> (1 | 2) = 3
Thus, the answer will be 3.
Input: arr[] = {2, 2, 2}
Output: 2
天真的方法:一种方法是一个一个地删除每个元素,然后找到其余元素的OR。该方法的时间复杂度将为O(N 2 )。
高效方法:要有效解决问题,必须为任何元素arr [i]确定(OR(arr [0…i-1])| OR(arr [i + 1…N-1]))的值。为此,他添加了前缀,可以通过pre []和suf []计算后缀OR数组,其中pre [i]存储OR(arr [0…i]),而suff [i]存储OR(arr [i…N -1]) 。然后,删除第i个元素后的数组的OR值可以计算为(pre [i-1] | suff [i + 1]) ,并且答案将是所有可能的OR值中的最小值。
下面是上述方法的实现:
C++
// C++ implementation of the approach
#include
using namespace std;
// Function to return the minimized OR
// after removing an element from the array
int minOR(int* arr, int n)
{
// Base case
if (n == 1)
return 0;
// Prefix and suffix OR array
int pre[n], suf[n];
pre[0] = arr[0], suf[n - 1] = arr[n - 1];
// Computing prefix/suffix OR arrays
for (int i = 1; i < n; i++)
pre[i] = (pre[i - 1] | arr[i]);
for (int i = n - 2; i >= 0; i--)
suf[i] = (suf[i + 1] | arr[i]);
// To store the final answer
int ans = min(pre[n - 2], suf[1]);
// Finding the final answer
for (int i = 1; i < n - 1; i++)
ans = min(ans, (pre[i - 1] | suf[i + 1]));
// Returning the final answer
return ans;
}
// Driver code
int main()
{
int arr[] = { 1, 2, 3 };
int n = sizeof(arr) / sizeof(int);
cout << minOR(arr, n);
return 0;
}
Java
// Java implementation of the approach
class GFG
{
// Function to return the minimized OR
// after removing an element from the array
static int minOR(int []arr, int n)
{
// Base case
if (n == 1)
return 0;
// Prefix and suffix OR array
int []pre = new int[n];
int []suf = new int[n];
pre[0] = arr[0];
suf[n - 1] = arr[n - 1];
// Computing prefix/suffix OR arrays
for (int i = 1; i < n; i++)
pre[i] = (pre[i - 1] | arr[i]);
for (int i = n - 2; i >= 0; i--)
suf[i] = (suf[i + 1] | arr[i]);
// To store the final answer
int ans = Math.min(pre[n - 2], suf[1]);
// Finding the final answer
for (int i = 1; i < n - 1; i++)
ans = Math.min(ans, (pre[i - 1] |
suf[i + 1]));
// Returning the final answer
return ans;
}
// Driver code
public static void main(String[] args)
{
int arr[] = { 1, 2, 3 };
int n = arr.length;
System.out.print(minOR(arr, n));
}
}
// This code is contributed by 29AjayKumar
Python3
# Python3 implementation of the approach
# Function to return the minimized OR
# after removing an element from the array
def minOR(arr, n):
# Base case
if (n == 1):
return 0
# Prefix and suffix OR array
pre = [0] * n
suf = [0] * n
pre[0] = arr[0]
suf[n - 1] = arr[n - 1]
# Computing prefix/suffix OR arrays
for i in range(1, n):
pre[i] = (pre[i - 1] | arr[i])
for i in range(n - 2, -1, -1):
suf[i] = (suf[i + 1] | arr[i])
# To store the final answer
ans = min(pre[n - 2], suf[1])
# Finding the final answer
for i in range(1, n - 1):
ans = min(ans, (pre[i - 1] | suf[i + 1]))
# Returning the final answer
return ans
# Driver code
if __name__ == '__main__':
arr = [1, 2, 3]
n = len(arr)
print(minOR(arr, n))
# This code is contributed by Mohit Kumar
C#
// C# implementation of the approach
using System;
class GFG
{
// Function to return the minimized OR
// after removing an element from the array
static int minOR(int []arr, int n)
{
// Base case
if (n == 1)
return 0;
// Prefix and suffix OR array
int []pre = new int[n];
int []suf = new int[n];
pre[0] = arr[0];
suf[n - 1] = arr[n - 1];
// Computing prefix/suffix OR arrays
for (int i = 1; i < n; i++)
pre[i] = (pre[i - 1] | arr[i]);
for (int i = n - 2; i >= 0; i--)
suf[i] = (suf[i + 1] | arr[i]);
// To store the final answer
int ans = Math.Min(pre[n - 2], suf[1]);
// Finding the final answer
for (int i = 1; i < n - 1; i++)
ans = Math.Min(ans, (pre[i - 1] |
suf[i + 1]));
// Returning the final answer
return ans;
}
// Driver code
static public void Main ()
{
int []arr = { 1, 2, 3 };
int n = arr.Length;
Console.WriteLine(minOR(arr, n));
}
}
// This code is contributed by AnkitRai01
输出:
3