#3524
Find X Value of Array I
MediumArrayMathDynamic ProgrammingHash MapArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(k) |
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Intuition
Time O(n)Space O(k)
We can use dynamic programming to keep track of products modulo k as we iterate through the array, counting occurrences efficiently.
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Algorithm
3 steps- 1Step 1: Initialize a dp array to count occurrences of each remainder.
- 2Step 2: Iterate through the array, updating the product and its remainder.
- 3Step 3: Use the dp array to accumulate counts for each remainder.
solution.py10 lines
1def countWays(nums, k):
2 result = [0] * k
3 dp = [0] * k
4 product = 1
5 for num in nums:
6 product = (product * num) % k
7 dp[product] += 1
8 for r in range(k):
9 result[r] = dp[r]
10 return resultℹ
Complexity note: This complexity is linear due to a single pass through the array and constant time updates to the dp array.
- 1Dynamic programming helps reduce redundant calculations.
- 2Tracking remainders allows efficient counting.
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