#1131
Maximum of Absolute Value Expression
MediumArrayMathMathematical ManipulationArray Traversal
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(1) |
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Intuition
Time O(n)Space O(1)
By breaking down the absolute value expression into four cases, we can simplify the calculation and avoid nested loops. This allows us to compute the maximum value in linear time.
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Algorithm
3 steps- 1Step 1: Initialize a variable to track the maximum value.
- 2Step 2: Iterate through the array and calculate the expression for all four combinations derived from the absolute value properties.
- 3Step 3: For each combination, calculate the maximum value and update the result.
solution.py7 lines
1def maxAbsValExpr(arr1, arr2):
2 max_value = 0
3 n = len(arr1)
4 for sign1 in [1, -1]:
5 for sign2 in [1, -1]:
6 max_value = max(max_value, max(sign1 * arr1[i] + sign2 * arr2[i] + i for i in range(n)) - min(sign1 * arr1[i] + sign2 * arr2[i] + i for i in range(n)))
7 return max_valueℹ
Complexity note: The time complexity is O(n) because we only iterate through the arrays a constant number of times. The space complexity is O(1) as we are using a fixed amount of space.
- 1Understanding how to manipulate absolute values can simplify complex expressions.
- 2Identifying patterns in index differences can lead to more efficient solutions.
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