Hard模式题目
先过一下Hard模式的题目吧。
# | Title | Editorial | Acceptance | Difficulty | Frequency | |
---|---|---|---|---|---|---|
。 | 65 | 12.6% | Hard | |||
。 | 126 | 13.6% | Hard | |||
。 | 149 | 15.6% | Hard | |||
。 | 146 | 16.0% | Hard | |||
。 | 68 | 18.1% | Hard | |||
。 | 460 | 19.0% | Hard | |||
。 | 44 | 19.0% | Hard | |||
。 | 308 | 19.8% | Hard | |||
。 | 4 | 20.8% | Hard | |||
。 | 420 | 21.0% | Hard | |||
。 | 273 | 21.1% | Hard | |||
。 | 30 | 21.7% | Hard | |||
。 | 440 | 22.1% | Hard | |||
。 | 140 | 22.2% | Hard | |||
。 | 212 | 22.2% | Hard | |||
。 | 269 | 22.3% | Hard | |||
。 | 174 | 22.9% | Hard | |||
。 | 214 | 23.0% | Hard | |||
446 | 23.0% | Hard | ||||
32 | 23.1% | Hard | ||||
295 | 23.3% | Hard | ||||
132 | 23.4% | Hard | ||||
10 | 23.6% | Hard | ||||
76 | 23.8% | Hard | ||||
188 | 23.8% | Hard | ||||
321 | 23.9% | Hard | ||||
135 | 23.9% | Hard | ||||
335 | 23.9% | Hard | ||||
97 | 23.9% | Hard | ||||
391 | 24.2% | Hard | ||||
158 | 24.4% | Hard | ||||
466 | 24.6% | Hard | ||||
336 | 24.7% | Hard | ||||
41 | 24.9% | Hard | ||||
124 | 25.0% | Hard | ||||
224 | 25.5% | Hard | ||||
218 | 25.5% | Hard | ||||
84 | 25.6% | Hard | ||||
23 | 25.9% | Hard | ||||
45 | 26.0% | Hard | ||||
85 | 26.1% | Hard | ||||
57 | 26.3% | Hard | ||||
138 | 26.6% | Hard | ||||
233 | 27.3% | Hard | ||||
381 | 28.0% | Hard | ||||
37 | 28.1% | Hard | ||||
432 | 28.2% | Hard | ||||
87 | 28.3% | Hard | ||||
123 | 28.3% | Hard | ||||
56 | 28.4% | Hard | ||||
282 | 28.5% | Hard | ||||
316 | 28.6% | Hard | ||||
164 | 28.6% | Hard | ||||
99 | 28.7% | Hard | ||||
327 | 28.9% | Hard | ||||
51 | 29.0% | Hard | ||||
25 | 29.7% | Hard | ||||
472 | 30.1% | Hard | ||||
465 | 30.1% | Hard | ||||
248 | 30.5% | Hard | ||||
72 | 30.6% | Hard | ||||
115 | 30.6% | Hard | ||||
403 | 30.9% | Hard | ||||
411 | 31.1% | Hard | ||||
239 | 31.4% | Hard | ||||
330 | 31.5% | Hard | ||||
297 | 31.6% | Hard | ||||
354 | 31.8% | Hard | ||||
358 | 31.8% | Hard | ||||
33 | 31.9% | Hard | ||||
363 | 32.1% | Hard | ||||
410 | 32.2% | Hard | ||||
480 | 33.1% | Hard | ||||
317 | 33.3% | Hard | ||||
117 | 33.5% | Hard | ||||
315 | 33.5% | Hard | ||||
301 | 34.5% | Hard | ||||
42 | 35.3% | Hard | ||||
128 | 35.3% | Hard | ||||
329 | 35.4% | Hard | ||||
407 | 35.6% | Hard | ||||
154 | 36.2% | Hard | ||||
265 | 37.1% | Hard | ||||
272 | 37.6% | Hard | ||||
291 | 37.7% | Hard | ||||
305 | 38.1% | Hard | ||||
380 | 38.4% | Hard | ||||
145 | 38.4% | Hard | ||||
340 | 38.6% | Hard | ||||
352 | 38.9% | Hard | ||||
159 | 39.7% | Hard | ||||
312 | 41.6% | Hard | ||||
287 | 41.8% | Hard | ||||
425 | 41.9% | Hard | ||||
52 | 42.8% | Hard | ||||
302 | 44.0% | Hard | ||||
471 | 44.2% | Hard | ||||
296 | 50.4% | Hard |
65 | Valid Number | 12.6% | Hard |
好像很繁琐。
126 | Word Ladder II | 13.6% | Hard |
方法是很好的。不是采用查找备选集的方式,而是采用逐个字符替换(可以加Hash来查找),这样复杂度从很高,降低到O(26*n), n是字典长度。
149 | Max Points on a Line | 15.6% | Hard |
解法很好。通过角度来判断是否一条直线。我看了解法之后,觉得可以再优化一下,比如记下后续点已经处理过的角度。
146 | LRU Cache | 16.0% | Hard |
我觉得用一个Hash, 加一个双向链表比较好。Hash里面记录链表实际节点,然后每次访问,这个节点移到双向链表的头部,成为新的head。每次满了删除,就删除尾部的。
里面还用了stl的list实现里面的一种很快的方式(当然了,自己来移动节点,也行):
// 貌似用这个splice比较快
dl.splice(dl.begin(), dl, mitr->second);
68 | Text Justification | 18.1% | Hard |
这道题目主要的难点就是gap的处理,尤其是gap不一致的情况。用的是下面的方法:
if (i < extra) {
line.push_back(' ');
}
也就是说,对于前面"extra"个数的间隔,都加上一个。
460 | LFU Cache | 19.0% | Hard |
很好,非常好!用了一个抽象数据结构Node,来记录同一访问频次层级的key,然后用了LinkedHashSet来记录这些key,进一步保证了先来后到(先达到的,会先删除)。好好领悟,很好!
还用了两个HashMap,分别记录真实的结果,以及一个key对应的Node(如上所述,这个Node里面包含了很多key,用LinkedHashSet来组织的)
44 | Wildcard Matching | 19.0% | Hard |
下面这个真是写的非常非常好:
C++版本的:
bool isMatch(const char *s, const char *p) {
const char* star=NULL;
const char* ss=s;
while (*s){
//advancing both pointers when (both characters match) or ('?' found in pattern)
//note that *p will not advance beyond its length
if ((*p=='?')||(*p==*s)){s++;p++;continue;} // * found in pattern, track index of *, only advancing pattern pointer
if (*p=='*'){star=p++; ss=s;continue;} //current characters didn't match, last pattern pointer was *, current pattern pointer is not *
//only advancing pattern pointer
if (star){ p = star+; s=++ss;continue;} //current pattern pointer is not star, last patter pointer was not *
//characters do not match
return false;
} //check for remaining characters in pattern
while (*p=='*'){p++;} return !*p;
}
Java版本的:
boolean comparison(String str, String pattern) {
int s = 0, p = 0, match = 0, starIdx = -1;
while (s < str.length()){
// advancing both pointers
if (p < pattern.length() && (pattern.charAt(p) == '?' || str.charAt(s) == pattern.charAt(p))){
s++;
p++;
}
// * found, only advancing pattern pointer
else if (p < pattern.length() && pattern.charAt(p) == '*'){
starIdx = p;
match = s;
p++;
}
// last pattern pointer was *, advancing string pointer
else if (starIdx != -1){
p = starIdx + 1;
match++;
s = match;
}
//current pattern pointer is not star, last patter pointer was not *
//characters do not match
else return false;
} //check for remaining characters in pattern
while (p < pattern.length() && pattern.charAt(p) == '*')
p++; return p == pattern.length();
}
4 | Median of Two Sorted Arrays | 20.8% | Hard |
下面这个解法真的是太棒了!讲解也讲的很好。基本就是分成两部分,使得右边的始终>=左边的,然后求出左边的max 与 右边的min,然后取中,就可以啦!
真的是太好了!
def median(A, B):
m, n = len(A), len(B)
if m > n:
A, B, m, n = B, A, n, m
if n == 0:
raise ValueError imin, imax, half_len = 0, m, (m + n + 1) / 2
while imin <= imax:
i = (imin + imax) / 2
j = half_len - i
if i < m and B[j-1] > A[i]:
# i is too small, must increase it
imin = i + 1
elif i > 0 and A[i-1] > B[j]:
# i is too big, must decrease it
imax = i - 1
else:
# i is perfect if i == 0: max_of_left = B[j-1]
elif j == 0: max_of_left = A[i-1]
else: max_of_left = max(A[i-1], B[j-1]) if (m + n) % 2 == 1:
return max_of_left if i == m: min_of_right = B[j]
elif j == n: min_of_right = A[i]
else: min_of_right = min(A[i], B[j]) return (max_of_left + min_of_right) / 2.0
420 | Strong Password Checker | 21.0% | Hard |
太繁琐,意义不大。
273 | Integer to English Words | 21.1% | Hard |
下面这个代码写的非常的赞。逻辑很清晰。递归和函数都组织的很好。
private final String[] LESS_THAN_20 = {"", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine", "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen", "Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"};
private final String[] TENS = {"", "Ten", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety"};
private final String[] THOUSANDS = {"", "Thousand", "Million", "Billion"}; public String numberToWords(int num) {
if (num == 0) return "Zero"; int i = 0;
String words = ""; while (num > 0) {
if (num % 1000 != 0)
words = helper(num % 1000) +THOUSANDS[i] + " " + words;
num /= 1000;
i++;
} return words.trim();
} private String helper(int num) {
if (num == 0)
return "";
else if (num < 20)
return LESS_THAN_20[num] + " ";
else if (num < 100)
return TENS[num / 10] + " " + helper(num % 10);
else
return LESS_THAN_20[num / 100] + " Hundred " + helper(num % 100);
}
30 | Substring with Concatenation of All Words | 21.7% | Hard |
下面代码写的很好。
// travel all the words combinations to maintain a window
// there are wl(word len) times travel
// each time, n/wl words, mostly 2 times travel for each word
// one left side of the window, the other right side of the window
// so, time complexity O(wl * 2 * N/wl) = O(2N)
vector<int> findSubstring(string S, vector<string> &L) {
vector<int> ans;
int n = S.size(), cnt = L.size();
if (n <= || cnt <= ) return ans; // init word occurence
unordered_map<string, int> dict;
for (int i = ; i < cnt; ++i) dict[L[i]]++; // travel all sub string combinations
int wl = L[].size();
for (int i = ; i < wl; ++i) {
int left = i, count = ;
unordered_map<string, int> tdict;
for (int j = i; j <= n - wl; j += wl) {
string str = S.substr(j, wl);
// a valid word, accumulate results
if (dict.count(str)) {
tdict[str]++;
if (tdict[str] <= dict[str])
count++;
else {
// a more word, advance the window left side possiablly
while (tdict[str] > dict[str]) {
string str1 = S.substr(left, wl);
tdict[str1]--;
if (tdict[str1] < dict[str1]) count--;
left += wl;
}
}
// come to a result
if (count == cnt) {
ans.push_back(left);
// advance one word
tdict[S.substr(left, wl)]--;
count--;
left += wl;
}
}
// not a valid word, reset all vars
else {
tdict.clear();
count = ;
left = j + wl;
}
}
} return ans;
}
440 | K-th Smallest in Lexicographical Order | 22.1% | Hard |
我给出的解法很好(当然了,也是参考了别人的)。使用了前缀、范围等各种技巧来处理。很不错。
140 | Word Break II | 22.2% | Hard |
其实题目不难。用递归,然后用DP加速。开始的时候,我没有一下子想到。开始我也想到用Trie树去查找,但是Trie树会复杂一些,而且不如Hash快。
212 | Word Search II | 22.2% | Hard |
这道题目就是可以用Trie树了。
复习下Trie树的加入。就是26个子树,如果是叶子,标记一下;如果不是叶子,继续递归加。
取的时候,对于每一个格子的元素,如果Trie树找到,就移动到相应的子树,或者是叶子就添加结果;如果Trie树没有找到,就返回。
269 | Alien Dictionary | 22.3% | Hard |
解法很复杂。都要建立图。图是用unordered_map(C++)来处理的。一种使用类似DFS的拓扑排序。注意排序的时候要用visited和path两个数组,前一个是记录是否访问过,后一个是记录是否有环。
另外一种是用BFS的解法,来计算每个节点的入度,然后根据入度来一个一个取出来。
174 | Dungeon Game | 22.9% | Hard |
我之前的方法用的是DP。但是现在我想到了一个很好的方法,就是从右下角开始,往上和往左回溯,来发现最小的代价。
214 | Shortest Palindrome | 23.0% | Hard |
这个在回文类题目系列里面也有写到。通过先反向,再用KMP的next数组来辅助。能够做出来。
另外下面这个方法真是太绝妙了:直接理解有点难。
int j = 0;
for (int i = s.length() - 1; i >= 0; i--) {
if (s.charAt(i) == s.charAt(j)) { j += 1; }
}
if (j == s.length()) { return s; }
String suffix = s.substring(j);
return new StringBuffer(suffix).reverse().toString() + shortestPalindrome(s.substring(0, j)) + suffix;
但是反过来理解,如果中间那段能够是回文,那j必然走到了中间那段的后面,说明中间那段必然不是回文。那么后面的就必然是结果的一部分。再把中间的进行递归,就行了。
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