给定一个由N 个正整数组成的数组arr[]和一个数字K ,任务是找到大小为 K 的子序列的按位 OR 的最大值。
例子:
Input: arr[] = {2, 5, 3, 6, 11, 13}, k = 3
Output: 15
Explanation:
The sub-sequence wil maximum OR value is 2, 11, 13.
Input: arr[] = {5, 9, 7, 19}, k = 3
Output: 31
Explanation:
The maximum value of bitwise OR of the subsequence of size K = 3 is 31.
朴素的方法:朴素的方法是生成所有长度为 K 的子序列,并找到所有子序列的按位或值。所有这些中的最大值将是答案。
时间复杂度: O(N 2 )
辅助空间: O(K)
高效方法:为了优化上述方法,尝试实现贪婪方法。以下是步骤:
- 初始化一个大小为 32 的整数数组bit[] ,所有值都等于 0。
- 现在迭代 bit[] 数组的每个索引从 31 到 0,并检查位数组的第i个值是否为 0,然后在给定的数组中迭代并找到一个元素,该元素在获取后对我们的位数组贡献最大为 1。
- 取该元素并相应地更改位数组,如果 k > 0,则每次将 k 减 1。否则跳出循环。
- 现在将 bit[] 数组转换为十进制数以获得最终答案。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
// Function to convert bit array to
// decimal number
int build_num(int bit[])
{
int ans = 0;
for (int i = 0; i < 32; i++)
if (bit[i])
ans += (1 << i);
// Return the final result
return ans;
}
// Function to find the maximum Bitwise
// OR value of subsequence of length K
int maximumOR(int arr[], int n, int k)
{
// Initialize bit array of
// size 32 with all value as 0
int bit[32] = { 0 };
// Iterate for each index of bit[]
// array from 31 to 0, and check if
// the ith value of bit array is 0
for (int i = 31; i >= 0; i--) {
if (bit[i] == 0 && k > 0) {
int temp = build_num(bit);
int temp1 = temp;
int val = -1;
for (int j = 0; j < n; j++) {
// Check for maximum
// contributing element
if (temp1 < (temp | arr[j])) {
temp1 = temp | arr[j];
val = arr[j];
}
}
// Update the bit array
// if max_contributing
// element is found
if (val != -1) {
// Decrement the value of K
k--;
for (int j = 0; j < 32; j++) {
if (val & (1 << j))
bit[j]++;
}
}
}
}
// Return the result
return build_num(bit);
}
// Driver Code
int main()
{
// Given array arr[]
int arr[] = { 5, 9, 7, 19 };
// Length of subsequence
int k = 3;
int n = sizeof arr / sizeof arr[0];
// Function Call
cout << maximumOR(arr, n, k);
return 0;
}
Java
// Java program for the above approach
class GFG{
// Function to convert bit array to
// decimal number
static int build_num(int []bit)
{
int ans = 0;
for(int i = 0; i < 32; i++)
if (bit[i] == 1)
ans += (1 << i);
ans += 32;
// Return the final result
return ans;
}
// Function to find the maximum Bitwise
// OR value of subsequence of length K
static int maximumOR(int []arr, int n, int k)
{
// Initialize bit array of
// size 32 with all value as 0
int bit[] = new int[32];
// Iterate for each index of bit[]
// array from 31 to 0, and check if
// the ith value of bit array is 0
for(int i = 31; i >= 0; i--)
{
if (bit[i] == 0 && k > 0)
{
int temp = build_num(bit);
int temp1 = temp;
int val = -1;
for(int j = 0; j < n; j++)
{
// Check for maximum
// contributing element
if (temp1 < (temp | arr[j]))
{
temp1 = temp | arr[j];
val = arr[j];
}
}
// Update the bit array
// if max_contributing
// element is found
if (val != -1)
{
// Decrement the value of K
k--;
for(int j = 0; j < 32; j++)
{
bit[j]++;
}
}
}
}
// Return the result
return build_num(bit);
}
// Driver Code
public static void main(String[] args)
{
// Given array arr[]
int arr[] = { 5, 9, 7, 19 };
// Length of subsequence
int k = 3;
int n = arr.length;
// Function call
System.out.println(maximumOR(arr, n, k));
}
}
// This code is contributed by rock_cool
Python3
# Python3 program to implement
# above approach
# Function to convert bit array to
# decimal number
def build_num(bit):
ans = 0
for i in range(0, 32):
if (bit[i]):
ans += (1 << i)
# Return the final result
return ans;
# Function to find the maximum Bitwise
# OR value of subsequence of length K
def maximumOR(arr, n, k):
# Initialize bit array of
# size 32 with all value as 0
bit = [0] * 32
# Iterate for each index of bit[]
# array from 31 to 0, and check if
# the ith value of bit array is 0
for i in range(31, -1, -1):
if (bit[i] == 0 and k > 0):
temp = build_num(bit)
temp1 = temp
val = -1
for j in range(0, n):
# Check for maximum
# contributing element
if (temp1 < (temp | arr[j])):
temp1 = temp | arr[j]
val = arr[j]
# Update the bit array
# if max_contributing
# element is found
if (val != -1):
# Decrement the value of K
k -= 1
for j in range(0, 32):
if (val & (1 << j)):
bit[j] += 1
# Return the result
return build_num(bit)
# Driver Code
# Given array arr[]
arr = [ 5, 9, 7, 19 ]
# Length of subsequence
k = 3;
n = len(arr)
# Function call
print(maximumOR(arr, n, k))
# This code is contributed by sanjoy_62
C#
// C# program for the above approach
using System;
class GFG{
// Function to convert bit array to
// decimal number
static int build_num(int []bit)
{
int ans = 0;
for(int i = 0; i < 32; i++)
if (bit[i] == 1)
ans += (1 << i);
ans += 32;
// Return the final result
return ans;
}
// Function to find the maximum Bitwise
// OR value of subsequence of length K
static int maximumOR(int []arr, int n, int k)
{
// Initialize bit array of
// size 32 with all value as 0
int []bit = new int[32];
// Iterate for each index of bit[]
// array from 31 to 0, and check if
// the ith value of bit array is 0
for(int i = 31; i >= 0; i--)
{
if (bit[i] == 0 && k > 0)
{
int temp = build_num(bit);
int temp1 = temp;
int val = -1;
for(int j = 0; j < n; j++)
{
// Check for maximum
// contributing element
if (temp1 < (temp | arr[j]))
{
temp1 = temp | arr[j];
val = arr[j];
}
}
// Update the bit array
// if max_contributing
// element is found
if (val != -1)
{
// Decrement the value of K
k--;
for(int j = 0; j < 32; j++)
{
bit[j]++;
}
}
}
}
// Return the result
return build_num(bit);
}
// Driver Code
public static void Main()
{
// Given array arr[]
int []arr = { 5, 9, 7, 19 };
// Length of subsequence
int k = 3;
int n = arr.Length;
// Function call
Console.Write(maximumOR(arr, n, k));
}
}
// This code is contributed by Code_Mech
Javascript
输出:
31
时间复杂度: O(N*log N)
辅助空间: O(1)
类似文章:长度为 K 的子序列的最大按位与值
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