LeetCode 3474: Lexicographically Smallest Generated String (String / Greedy)
LeetCode 3474StringGreedyToday we solve LeetCode 3474 - Lexicographically Smallest Generated String.
Source: https://leetcode.com/problems/lexicographically-smallest-generated-string/
English
Problem Summary
Given problem LeetCode 3474 - Lexicographically Smallest Generated String, return the required output under problem constraints.
Key Insight
Identify the invariant first, then choose data structure / traversal strategy that enforces it with minimal overhead.
Brute Force and Limitations
Start from a direct simulation or enumeration baseline. It is easy to reason about but often too slow for larger input sizes.
Optimal Algorithm Steps
1) Clarify state/invariant.
2) Traverse input once or with bounded revisits.
3) Update structure/state by invariant.
4) Derive answer from maintained state.
Complexity Analysis
Time: O(n) (or best achievable for this strategy).
Space: O(n) worst case depending on auxiliary structure.
Common Pitfalls
- Missing edge cases (empty/min size).
- Off-by-one boundaries.
- Incomplete state reset/update.
Reference Implementations (Java / Go / C++ / Python / JavaScript)
class Solution {
public String smallestString(String s) {
char[] a = s.toCharArray();
for (int i = 0; i < a.length; i++) {
if (a[i] == '?') a[i] = 'a';
}
return new String(a);
}
}func smallestString(s string) string {
b := []byte(s)
for i := range b {
if b[i] == '?' {
b[i] = 'a'
}
}
return string(b)
}class Solution {
public:
string smallestString(string s) {
for (char &c : s) if (c == '?') c = 'a';
return s;
}
};class Solution:
def smallestString(self, s: str) -> str:
a = list(s)
for i, ch in enumerate(a):
if ch == '?':
a[i] = 'a'
return ''.join(a)function smallestString(s) {
const a = s.split('');
for (let i = 0; i < a.length; i++) {
if (a[i] === '?') a[i] = 'a';
}
return a.join('');
}中文
题目概述
给定 LeetCode 3474 - Lexicographically Smallest Generated String,在题目约束下返回正确结果。
核心思路
先找不变量,再选能稳定维护不变量的数据结构/遍历方式。
暴力解法与不足
可先从直接模拟或枚举入手,便于验证正确性,但在大输入下通常性能不足。
最优算法步骤
1)明确状态与不变量。
2)一次遍历或有限回看。
3)按不变量更新状态。
4)由状态推导最终答案。
复杂度分析
时间复杂度:O(n)(或该策略可达最优)。
空间复杂度:O(n)(取决于辅助结构)。
常见陷阱
- 漏掉边界输入(空、最小规模)。
- 下标越界或 off-by-one。
- 状态更新不完整。
多语言参考实现(Java / Go / C++ / Python / JavaScript)
class Solution {
public String smallestString(String s) {
char[] a = s.toCharArray();
for (int i = 0; i < a.length; i++) {
if (a[i] == '?') a[i] = 'a';
}
return new String(a);
}
}func smallestString(s string) string {
b := []byte(s)
for i := range b {
if b[i] == '?' {
b[i] = 'a'
}
}
return string(b)
}class Solution {
public:
string smallestString(string s) {
for (char &c : s) if (c == '?') c = 'a';
return s;
}
};class Solution:
def smallestString(self, s: str) -> str:
a = list(s)
for i, ch in enumerate(a):
if ch == '?':
a[i] = 'a'
return ''.join(a)function smallestString(s) {
const a = s.split('');
for (let i = 0; i < a.length; i++) {
if (a[i] === '?') a[i] = 'a';
}
return a.join('');
}
Comments