#2375
Construct Smallest Number From DI String
MediumStringBacktrackingStackGreedyStackGreedy
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(n) |
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Intuition
Time O(n)Space O(n)
The optimal solution leverages a greedy approach by constructing the result string based on the pattern directly. We can use a stack to manage the digits and ensure that we maintain the required order without generating all permutations.
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Algorithm
4 steps- 1Step 1: Initialize an empty stack and a result string.
- 2Step 2: Iterate through the pattern, pushing digits onto the stack.
- 3Step 3: When encountering 'I', pop from the stack to the result to maintain the increasing order.
- 4Step 4: At the end, pop any remaining digits in the stack to the result.
solution.py10 lines
1def smallestNumber(pattern):
2 stack = []
3 result = ''
4 n = len(pattern)
5 for i in range(n + 1):
6 stack.append(str(i + 1))
7 if i == n or pattern[i] == 'I':
8 while stack:
9 result += stack.pop()
10 return resultℹ
Complexity note: The time complexity is O(n) because we iterate through the pattern and push/pop from the stack, which takes constant time. The space complexity is O(n) due to the stack storing up to n elements.
- 1Using a stack allows us to efficiently manage the order of digits based on the pattern.
- 2Greedy approaches can often yield optimal solutions without the need for exhaustive search.
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