Leetcode 2317: Maximum XOR After Operations
You are given an integer array nums. In each operation, select a non-negative integer x and an index i, then update nums[i] to be equal to nums[i] AND (nums[i] XOR x). The task is to find the maximum possible bitwise XOR of all elements after applying the operation any number of times.
Problem
Approach
Steps
Complexity
Input: The input consists of an integer array nums where 1 <= nums.length <= 10^5 and 0 <= nums[i] <= 10^8.
Example: nums = [5, 7, 3, 10]
Constraints:
• 1 <= nums.length <= 10^5
• 0 <= nums[i] <= 10^8
Output: Return the maximum possible bitwise XOR of all elements after applying the operation any number of times.
Example: For nums = [5, 7, 3, 10], the output is 15.
Constraints:
• The result is a non-negative integer.
Goal: The goal is to calculate the maximum bitwise XOR achievable after applying the operation on the array any number of times.
Steps:
• 1. Iterate over the entire array and calculate the OR of all elements.
• 2. Return the OR result, which represents the maximum possible XOR after applying the operations.
Goal: The problem constraints are as follows:
Steps:
• 1 <= nums.length <= 10^5
• 0 <= nums[i] <= 10^8
Assumptions:
• The array nums is non-empty.
• Input: nums = [5, 7, 3, 10]
• Explanation: In this example, applying the operation with x = 5 at index 3 gives us nums = [5, 7, 3, 0]. The XOR of these elements is 15, which is the maximum possible XOR.
Approach: To achieve the maximum bitwise XOR of all elements, the operation modifies the array in a way that the result is influenced by the bitwise OR of the elements.
Observations:
• The operation essentially affects the bits of each element, and we are interested in maximizing the XOR across the entire array.
• The operation will allow us to manipulate the bits of the elements, but the final result can be determined by the OR of all elements.
Steps:
• 1. Initialize a variable mask to 0.
• 2. Iterate through the array and apply the OR operation on each element to update the mask.
• 3. Return the final value of the mask, as it represents the maximum possible XOR.
Empty Inputs:
• If the array is empty, the result should be 0.
Large Inputs:
• The algorithm should efficiently handle large arrays with up to 10^5 elements.
Special Values:
• If all elements are zero, the result will be 0.
Constraints:
• Ensure that large inputs are processed efficiently within time limits.
int maximumXOR(vector<int>& nums) {
int mask = 0;
for(auto it : nums) {
mask |= it;
}
return mask;
}
1 : Method Declaration
int maximumXOR(vector<int>& nums) {
Declare the method `maximumXOR` which takes a vector of integers `nums` as input and returns an integer representing the maximum XOR achievable.
2 : Variable Initialization
int mask = 0;
Initialize a variable `mask` to store the cumulative result of the bitwise OR operation over all elements of `nums`. Initially set to 0.
3 : Loop Initialization
for(auto it : nums) {
Start a loop to iterate over each element `it` in the vector `nums`.
4 : Bitwise OR Operation
mask |= it;
For each number `it` in `nums`, perform a bitwise OR operation with the current `mask` value, updating `mask` to include the bits set by `it`.
5 : Return Statement
return mask;
Return the final value of `mask`, which holds the result of the bitwise OR of all elements in `nums`.
Best Case: O(n)
Average Case: O(n)
Worst Case: O(n)
Description: The time complexity is O(n), where n is the length of the array, as we iterate over the array once to compute the OR.
Best Case: O(1)
Worst Case: O(1)
Description: The space complexity is O(1), as we only need a constant amount of extra space to store the mask.
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