LeetCode Problem Workspace
Sum of Even Numbers After Queries
Efficiently update an integer array based on queries and compute the sum of even numbers after each modification using simulation.
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Practice Focus
Medium · Array plus Simulation
Answer-first summary
Efficiently update an integer array based on queries and compute the sum of even numbers after each modification using simulation.
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This problem requires handling array updates incrementally while tracking the sum of even numbers after each query. The key is to avoid recalculating the sum from scratch for every query. By adjusting the running even sum based on each updated element, you achieve a linear time solution that aligns with the Array plus Simulation pattern.
Problem Statement
You are given an integer array nums and an array queries where each query is a pair [vali, indexi]. For each query, add vali to nums[indexi] and then determine the sum of all even numbers currently in nums.
Return an array of integers answer where answer[i] represents the sum of even numbers in nums after performing the i-th query. Ensure your solution handles large arrays efficiently without recalculating the sum from scratch for each query.
Examples
Example 1
Input: nums = [1,2,3,4], queries = [[1,0],[-3,1],[-4,0],[2,3]]
Output: [8,6,2,4]
At the beginning, the array is [1,2,3,4]. After adding 1 to nums[0], the array is [2,2,3,4], and the sum of even values is 2 + 2 + 4 = 8. After adding -3 to nums[1], the array is [2,-1,3,4], and the sum of even values is 2 + 4 = 6. After adding -4 to nums[0], the array is [-2,-1,3,4], and the sum of even values is -2 + 4 = 2. After adding 2 to nums[3], the array is [-2,-1,3,6], and the sum of even values is -2 + 6 = 4.
Example 2
Input: nums = [1], queries = [[4,0]]
Output: [0]
Example details omitted.
Constraints
- 1 <= nums.length <= 104
- -104 <= nums[i] <= 104
- 1 <= queries.length <= 104
- -104 <= vali <= 104
- 0 <= indexi < nums.length
Solution Approach
Initialize Even Sum
Compute the initial sum of even numbers in nums before processing any queries. This sets a baseline that can be incrementally updated.
Process Queries Incrementally
For each query, first remove the current value at nums[indexi] from the even sum if it is even. Then, update nums[indexi] by adding vali, and if the new value is even, add it back to the running even sum.
Record Results
After each query adjustment, append the current even sum to the result array. This ensures each step reflects the correct sum without full recomputation.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | O(N+Q) |
| Space | O(Q) |
The algorithm visits each element once to compute the initial sum, then processes Q queries with constant-time updates per query, resulting in O(N + Q) time. The space for the result array is O(Q).
What Interviewers Usually Probe
- Look for an approach that avoids recomputing the sum after each query.
- Expect recognition of the Array plus Simulation pattern and its incremental nature.
- Check for correct handling of negative numbers and zero when updating even sums.
Common Pitfalls or Variants
Common pitfalls
- Recomputing the sum of even numbers from scratch after each query, causing TLE.
- Failing to remove the old value from the sum before updating an element.
- Not correctly identifying whether a value is even after the update, leading to wrong sums.
Follow-up variants
- Sum of odd numbers after queries using the same incremental update technique.
- Counting numbers divisible by k after each query instead of even numbers.
- Tracking both even and odd sums simultaneously after each query for multi-condition updates.
FAQ
What is the key pattern to solve Sum of Even Numbers After Queries efficiently?
The problem follows the Array plus Simulation pattern, where incremental updates to a running even sum avoid full recomputation.
Why is recalculating the sum from scratch after each query inefficient?
Recomputing the sum for each query results in O(N*Q) time complexity, which exceeds limits for large arrays and queries.
How do negative numbers affect the sum updates?
Negative numbers can change an element from even to odd or vice versa, so the running sum must be adjusted carefully after each update.
Can this approach be adapted to other conditions besides even numbers?
Yes, the incremental update strategy works for any condition that can be checked per element, like odd numbers or multiples of k.
What is the space complexity of the solution?
The space complexity is O(Q) due to storing the result array of sums after each query, with minimal additional overhead.
Solution
Solution 1: Simulation
We use an integer variable $\textit{s}$ to record the sum of all even numbers in the array $\textit{nums}$. Initially, $\textit{s}$ is the sum of all even numbers in the array $\textit{nums}$.
class Solution:
def sumEvenAfterQueries(
self, nums: List[int], queries: List[List[int]]
) -> List[int]:
s = sum(x for x in nums if x % 2 == 0)
ans = []
for v, i in queries:
if nums[i] % 2 == 0:
s -= nums[i]
nums[i] += v
if nums[i] % 2 == 0:
s += nums[i]
ans.append(s)
return ansContinue Topic
array
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