LeetCode 320 - Generalized Abbreviation


Generalized Abbreviation – AlgoBox by dietpepsi
Write a function to generate the generalized abbreviations of a word.
Example:
Given "word"
Return the following list (order does not matter):
["word", "1ord", "w1rd", "wo1d", "wor1", "2rd", "w2d", "wo2", "1o1d", "1or1", "w1r1", "1o2", "2r1", "3d", "w3", "4"]

 X. Bit String

这道题让我们对一个单词进行部分简写，简写的规则是若干个字母可以用数字来表示，但是不能有两个相邻的数字，具体可以参考题目中给的例子，根据我以往的经验，这种列举所有情况的必定是要用DFS来写的，但是我一时半会又没想到该咋递归，后来我数了一下题目中给的例子的所有情况的个数，是16个，而word有4个字母，刚好是2的4次方，这是巧合吗，当然不是，后来我又发现如果把0到15的二进制写出来，每一个可以对应一种情况，如下所示：
0000 word
0001 wor1
0010 wo1d
0011 wo2
0100 w1rd
0101 w1r1
0110 w2d
0111 w3
1000 1ord
1001 1or1
1010 1o1d
1011 1o2
1100 2rd
1101 2r1
1110 3d
1111 4

那么我们就可以观察出规律，凡是0的地方都是原来的字母，单独的1还是1，如果是若干个1连在一起的话，就要求出1的个数，用这个数字来替换对应的字母，既然规律找出来了，那么代码就很好写了
    vector<string> generateAbbreviations(string word) {
        vector<string> res;
        for (int i = 0; i < pow(2, word.size()); ++i) {
            string out = "";
            int cnt = 0, t = i;
            for (int j = 0; j < word.size(); ++j) {
                if (t & 1 == 1) {
                    ++cnt;
                    if (j == word.size() - 1) out += to_string(cnt);
                } else {
                    if (cnt != 0) {
                        out += to_string(cnt);
                        cnt = 0;
                    }
                    out += word[j];
                }
                t >>= 1;
            }
            res.push_back(out);
        }
        return res;
    }
上述方法返回结果的顺序为：
["word","1ord","w1rd","2rd","wo1d","1o1d","w2d","3d","wor1","1or1","w1r1","2r1","wo2","1o2","w3","4"]
我们可以对上面代码稍稍改写一下，变的稍微简洁一点
    vector<string> generateAbbreviations(string word) {
        vector<string> res;
        for (int i = 0; i < pow(2, word.size()); ++i) {
            string out = "";
            int cnt = 0;
            for (int j = 0; j < word.size(); ++j) {
                if ((i >> j) & 1) ++cnt;
                else {
                    if (cnt != 0) {
                        out += to_string(cnt);
                        cnt = 0;
                    }
                    out += word[j];
                }
            }
            if (cnt > 0) out += to_string(cnt);
            res.push_back(out);
        }
        return res;
    }

对于每一个character来说，有两种情况。要不就是append这个character，要不就是变成一个数字，所以总共的可能性也是2 ^ n。
For each character they ends up two ways in the abbreviation, they either appear as it is, or they contribute to the number.
Therefore for a word of length n, there will be 2^n combinations.
Each of these combination can be represented by a binary number of n bit.
Since the problem require to return all the abbreviations, n needs to be relatively small, otherwise the return list can be huge. Therefore we assume n < 32 and use 32 bit int to represent the combination. If it is not enough we can use long instead or we can use backtracking to generate whatever length.
The remaining problem is applying the bit mask and generate the abbreviation. In short, we can scan all the bits of the mask and append the character when corresponding bit is 0 and the count of bit 1 before that.
public List<String> generateAbbreviations(String word) {
    List<String> ans = new ArrayList<>();
    for (int i = 0; i < 1 << word.length(); ++i)
        ans.add(abbr(word, i));
    return ans;
}
private String abbr(String word, int x) {
    StringBuilder builder = new StringBuilder();
    int m = 0;
    for (int i = 0; i < word.length(); ++i, x >>= 1) {
        if ((x & 1) == 0) {
            if (m > 0) builder.append(m);
            m = 0;
            builder.append(word.charAt(i));
        }
        m += x & 1;// change to else m++;
    }
    if (m > 0) builder.append(m);//\\
    return builder.toString();
}
https://discuss.leetcode.com/topic/32188/36ms-o-2-n-n-bitmask-with-explanation
https://discuss.leetcode.com/topic/32173/share-java-backtracking-and-bit-manipulation-solution-with-explanation
public class Solution {
    String word;
    private String generate(int mask) {
        StringBuilder ans = new StringBuilder();
        for (int i = 0; i < this.word.length(); ) {
            if ((mask &(1<<i)) == 0) {
                ans.append(this.word.charAt(i));
                i++;
            }
            else {
                int cur = i;
                while (cur < this.word.length() && ((mask & (1 << cur)) > 0)) {
                    cur++;
                }
                ans.append(cur - i);
                i = cur;
            }
        }
        return ans.toString();
    }
    public List<String> generateAbbreviations(String word) {
        List<String> ans = new ArrayList<>();
        this.word = word;
        for (int mask = 0; mask < (1<<this.word.length()); mask++) {
            ans.add(generate(mask));
        }
        return ans;
    }
}

https://leetcode.com/discuss/75568/o-m-n-bit-manipulation-java
https://discuss.leetcode.com/topic/32154/bit-manipulation-solution-java
running time is indeed O(m * n), where m = 2^n... :)
public List<String> generateAbbreviations(String word) { List<String> ret = new ArrayList<>(); int n = word.length(); for(int mask = 0;mask < (1 << n);mask++) { int count = 0; StringBuffer sb = new StringBuffer(); for(int i = 0;i <= n;i++) { if(((1 << i) & mask) > 0) { count++; } else { if(count != 0) { sb.append(count); count = 0; } if(i < n) sb.append(word.charAt(i)); } } ret.add(sb.toString()); //\\ } return ret; }
http://codingmelon.com/2015/12/22/generalized-abbreviation-leetcode-320/
Bit mask:
    vector<string> generateAbbreviations(string word) {
        vector<string> sol;
        int len = word.length();
        for (int i = 0; i < (1 << len); i++) {
            int count = 0;
            string one = "";
            for (int j = 0; j < len; j++) {
                if (i & (1 << j)) {
                    count++;
                } else {
                    if (count) {
                        one += to_string(count);
                        count = 0;
                    }
                    one += word[j];
                }
            }
            if (count) {
                one += to_string(count);
            }
            sol.push_back(one);
        }
        return sol;
    }

X. DFS
http://www.cnblogs.com/grandyang/p/5261569.html
    vector<string> generateAbbreviations(string word) {
        vector<string> res;
        helper(word, 0, 0, "", res);
        return res;
    }
    void helper(string word, int pos, int cnt, string out, vector<string> &res) {
        if (pos == word.size()) {
            if (cnt > 0) out += to_string(cnt);
            res.push_back(out);
        } else {
            helper(word, pos + 1, cnt + 1, out, res);
            helper(word, pos + 1, 0, out + (cnt > 0 ? to_string(cnt) : "") + word[pos], res);
        }
    }
上述方法返回结果的顺序为：
 ["4","3d","2r1","2rd","1o2","1o1d","1or1","1ord","w3","w2d","w1r1","w1rd","wo2","wo1d","wor1","word"]
    vector<string> generateAbbreviations(string word) {
        vector<string> res;
        res.push_back(word.size() == 0 ? "" : to_string(word.size()));
        for (int i = 0; i < word.size(); ++i) {
            for (auto a : generateAbbreviations(word.substr(i + 1))) {
                string left = i > 0 ? to_string(i) : "";
                res.push_back(left + word.substr(i, 1) + a);
            }
        }
        return res;
    }
上述方法返回结果的顺序为：
["4","w3","wo2","wor1","word","wo1d","w1r1","w1rd","w2d","1o2","1or1","1ord","1o1d","2r1","2rd","3d"]
    vector<string> generateAbbreviations(string word) {
        vector<string> res;
        helper(word, 0, 0, "", res);
        return res;
    }
    void helper(string word, int pos, int cnt, string out, vector<string> &res) {
        if (pos == word.size()) {
            if (cnt > 0) out += to_string(cnt);
            res.push_back(out);
        } else {
            helper(word, pos + 1, cnt + 1, out, res);
            helper(word, pos + 1, 0, out + (cnt > 0 ? to_string(cnt) : "") + word[pos], res);
        }
    }
https://discuss.leetcode.com/topic/32765/java-14ms-beats-100
For each char c[i], either abbreviate it or not.
  1. Abbreviate: count accumulate num of abbreviating chars, but don't append it yet.
  2. Not Abbreviate: append accumulated num as well as current char c[i].
  3. In the end append remaining num.
  4. Using StringBuilder can decrease 36.4% time.
This comes to the pattern I find powerful:
int len = sb.length(); // decision point
... backtracking logic ...
sb.setLength(len);     // reset to decision point
Similarly, check out remove parentheses and add operators.
For fun you can go even faster if you use a char[] sb + an int pos:
  • sb's size cannot be bigger than word.length()
  • you don't need setLength because pos is a local variable,
    down the stack it has smaller values
  • append(char) becomes sb[pos++] = c[i];
  • and you could write your own "append(int)" which is much simpler because 0 < num < 32
    (List cannot hold more than 2^31 elements):
     if (num >= 10) sb[pos++] = '0' + num / 10;
 if (num > 0) sb[pos++] = '0' + num % 10;
public List<String> generateAbbreviations(String word) {
    List<String> res = new ArrayList<>();
    DFS(res, new StringBuilder(), word.toCharArray(), 0, 0);
    return res;
}

public void DFS(List<String> res, StringBuilder sb, char[] c, int i, int num) {
    int len = sb.length();  
    if(i == c.length) {
        if(num != 0) sb.append(num);
        res.add(sb.toString());
    } else {
        DFS(res, sb, c, i + 1, num + 1);               // abbr c[i]

        if(num != 0) sb.append(num);                   // not abbr c[i]
        DFS(res, sb.append(c[i]), c, i + 1, 0);        
    }
    sb.setLength(len); 
}
http://www.cnblogs.com/EdwardLiu/p/5092886.html
这道题肯定是DFS/Backtracking, 但是怎么DFS不好想，跟Leetcode: Remove Invalid Parentheses的backtracking很像。
Generalized Abbreviation这道题是当前这个字母要不要abbreviate，要或者不要两种选择，Parentheses那道题是当前括号要不要keep在StringBuffer里，要或不要同样是两种选择。
 Syntax：注意27行使用StringBuffer.setLength(), 因为count一直累加可能变成两位数三位数，delete stringbuffer最后一个字母可能不行，所以干脆设置为最初进recursion的长度
 2     public List<String> generateAbbreviations(String word) {
 3         List<String> res = new ArrayList<String>();
 4         dfs(0, word.toCharArray(), new StringBuffer(), 0, res);
 5         return res;
 6     }
 7     
 8     public void dfs(int pos, char[] word, StringBuffer sb, int count, List<String> res) {
 9         int len = word.length;
10         int sbOriginSize = sb.length();
11         if (pos == len) {
12             if (count > 0) {
13                 sb.append(count);
14             }
15             res.add(sb.toString());
16         }
17         else {
18             //choose to abbr word[pos]
19             dfs(pos+1, word, sb, count+1, res);
20             
21             //choose not to abbr word[pos]
22             //first append previous count to sb if count>0
23             if (count > 0) sb.append(count);
24             sb.append(word[pos]);
25             dfs(pos+1, word, sb, 0, res);
26         }
27         sb.setLength(sbOriginSize);
28     }
https://leetcode.com/discuss/76783/easiest-14ms-java-solution-beats-100%25
For each char c[i], either abbreviate it or not.
  1. Abbreviate: count accumulate num of abbreviating chars, but don't append it yet.
  2. Not Abbreviate: append accumulated num as well as current char c[i].
  3. In the end append remaining num.
  4. Using StringBuilder can decrease 36.4% time.
This comes to the pattern I find powerful:
int len = sb.length(); // decision point
... backtracking logic ...
sb.setLength(len);     // reset to decision point
Similarly, check out remove parentheses and add operators.
public List<String> generateAbbreviations(String word) { List<String> res = new ArrayList<>(); DFS(res, new StringBuilder(), word.toCharArray(), 0, 0); return res; } public void DFS(List<String> res, StringBuilder sb, char[] c, int i, int num) { int len = sb.length(); if(i == c.length) { if(num != 0) sb.append(num); res.add(sb.toString()); } else { DFS(res, sb, c, i + 1, num + 1); // abbr c[i] if(num != 0) sb.append(num); // not abbr c[i] DFS(res, sb.append(c[i]), c, i + 1, 0); } sb.setLength(len); }
For fun you can go even faster if you use a char[] sb + an int pos:
  • sb's size cannot be bigger than word.length()
  • you don't need setLength because pos is a local variable,
    down the stack it has smaller values
  • append(char) becomes sb[pos++] = c[i];
  • and you could write your own "append(int)" which is much simpler because 0 < num < 32
    (List cannot hold more than 2^31 elements):
    if (num >= 10) sb[pos++] = '0' + num / 10;
if (num > 0) sb[pos++] = '0' + num % 10;
@TWiStErRob, very clever solution! It looks like faster than mine. It's convenient since 0 < num < 32 or0 < num < 64.
https://leetcode.com/discuss/75443/straight-forward-methods-with-backtracking-divide-conquer
public List<String> generateAbbreviations(String word) { List<String> res = new ArrayList<String>(); helper(word, 0, "", res, false); return res; } // isAbbrPrev: false, we can add alphabet or abbreviation(number) next round // isAbbrPrev: true, we can add alphabet ONLY next round public void helper(String word, int start, String cur, List<String> res, 
boolean isAbbrPrev) { if (start == word.length()) { res.add(cur); return; } if (isAbbrPrev == false) { // we can add abbreviation (num) for(int end=start+1; end<=word.length(); end++) { 
// iterate all abbreviations from 'start' helper(word, end, cur + Integer.toString(end-start), res, true); } } helper(word, start+1, cur + word.charAt(start), res, false); 
// adding one word each time }
https://leetcode.com/discuss/75754/java-backtracking-solution
The idea is: for every character, we can keep it or abbreviate it. To keep it, we add it to the current solution and carry on backtracking. To abbreviate it, we omit it in the current solution, but increment the count, which indicates how many characters have we abbreviated. When we reach the end or need to put a character in the current solution, and count is bigger than zero, we add the number into the solution.
This is definitely O(2^n). It is easy to explain. Every char has two possibilities, either abbreviate it or omit it. So there are total 2^n possibilities.
public List<String> generateAbbreviations(String word){ List<String> ret = new ArrayList<String>(); backtrack(ret, word, 0, "", 0); return ret; } private void backtrack(List<String> ret, String word, int pos, String cur, int count){ if(pos==word.length()){ if(count > 0) cur += count; ret.add(cur); } else{ backtrack(ret, word, pos + 1, cur, count + 1); backtrack(ret, word, pos+1, cur + (count>0 ? count : "") + word.charAt(pos), 0); } }

https://discuss.leetcode.com/topic/32270/java-backtracking-solution/11
I made two improvements in your code:
(1) use StringBuilder rather than the concatenation of String.
(2) use char[] to represent String rather than the original String.
these two improvements make run time from 17ms to 14ms.
    public List<String> generateAbbreviations(String word) {
        List<String> res = new ArrayList<>();
        StringBuilder tmpRes = new StringBuilder();
        char[] wordArray = word.toCharArray();
        dfs(res, tmpRes, wordArray, 0, 0);
        return res;
    }
    
    private void dfs(List<String> res, StringBuilder tmpRes, char[] wordArray, int pos, int numCount) {
        if(pos == wordArray.length) {
            if(numCount > 0) tmpRes.append(numCount);
            res.add(tmpRes.toString());
            return;
        }
        
        // use number
        int len = tmpRes.length();
        dfs(res, tmpRes, wordArray, pos + 1, numCount + 1);
        tmpRes.setLength(len);              // backtracking
        
        // use character
        len = tmpRes.length();
        if(numCount > 0) {
            tmpRes.append(numCount).append(wordArray[pos]);
            dfs(res, tmpRes, wordArray, pos + 1, 0);    
        } else {
            tmpRes.append(wordArray[pos]);
            dfs(res, tmpRes, wordArray, pos + 1, 0);
        }
        tmpRes.setLength(len);              // backtracking
    }
https://leetcode.com/discuss/75528/9-line-easy-java-solution
public List<String> generateAbbreviations(String word) { List<String> res = new ArrayList<String>(); int len = word.length(); res.add(len==0 ? "" : String.valueOf(len)); for(int i = 0 ; i < len ; i++) for(String right : generateAbbreviations(word.substring(i+1))){ String leftNum = i > 0 ? String.valueOf(i) : ""; res.add( leftNum + word.substring(i,i + 1) + right ); } return res; }

X. DFS 2
https://discuss.leetcode.com/topic/32171/9-line-easy-java-solution
Would you mind telling me why my memorization code below doesn't speed up the program? - the cache is never used.
    public List<String> generateAbbreviations(String word) {
        List<String> res = new ArrayList<String>();
        int len = word.length();
        res.add(len==0 ? "" : String.valueOf(len));
        for(int i = 0 ; i < len ; i++)
            for(String right : generateAbbreviations(word.substring(i+1))){
                String leftNum = i > 0 ? String.valueOf(i) : "";
                res.add( leftNum + word.substring(i,i + 1) + right );
            }
        return res;
    }

X. Divide &Conquer:
public List<String> generateAbbreviations(String word) { Set<String> s = helper(word); List<String> res = new ArrayList<String>(s); return res; } public Set<String> helper(String word) { int length = word.length(); Set<String> res = new HashSet<String>(); if (length == 0) { res.add(""); return res; } res.add(Integer.toString(length)); for(int i=0; i<length; i++) {  
// we separate String into two parts with word.charAt(i) Set<String> left = helper(word.substring(0,i)); Set<String> right = helper(word.substring(i+1, length)); for(String strLeft : left) { for(String strRight : right) { res.add(strLeft + word.charAt(i) + strRight); } } } return res; }
Your D&C solution seems to have LTE problem for test case "segmentation". One way to possibly shorten the time is to use subfix only instead of both prefix and subfix. See my code here: https://leetcode.com/discuss/76010/straightforward-recursive-solution
The idea is kind of straightforward: for a given string, think of all possible first substrings that are converted to an integer. For example, for
word
we have the following possibilities:
w --> 1 (rem: ord)
wo --> 2 (rem: rd)
wor --> 3 (rem: d)
word --> 4 (rem: null)
For each case, the remainder (subfix) is going through exactly the same procedure as word, which is obviously a recursion.

https://leetcode.com/discuss/75528/9-line-easy-java-solution
public List<String> generateAbbreviations(String word) { List<String> res = new ArrayList<String>(); int len = word.length(); res.add(len==0 ? "" : String.valueOf(len)); for(int i = 0 ; i < len ; i++) for(String right : generateAbbreviations(word.substring(i+1))){ String leftNum = i > 0 ? String.valueOf(i) : ""; res.add( leftNum + word.substring(i,i + 1) + right ); } return res; }
https://segmentfault.com/a/1190000004187690
首先要考虑的是会有多少种结果。仔细观察会发现，最终会有Cn0 + Cn1 + Cn2 + ... + Cnn = 2^n种结果。
然后就很显然应该用DFS, 每次recursion存下当前结果，然后继续DFS。要注意下一步DFS的起始位置要与当前结束位置隔一个，否则就会出现有连续数字的结果。
    public List<String> generateAbbreviations(String word) {
        List<String> res = new ArrayList<>();
        dfs(res, "", 0, word);
        return res;
    }
    
    public void dfs(List<String> res, String curr, int start, String s) {
        
        // 表示数字替换已经越界，recursion终止 
        if (start > s.length()) 
            return;
            
        // 用之前结束位置存入当前符合条件的结果
        res.add(curr + s.substring(start));
        
        // 定义新的起始位置
        int i = 0;
        
        // 除了最开始，起始位置都要与之前结尾位置隔一个
        if (start > 0) {
            i = start + 1;
        }
        
        for (; i < s.length(); i++) {
            for (int j = 1; j <= s.length(); j++) {
                // 数字之前的字符串要append上
                dfs(res, curr + s.substring(start, i) + j, i + j, s);
            }
        }
    }
https://segmentfault.com/a/1190000004187690
    public List<String> generateAbbreviations(String word) {
        List<String> list = new LinkedList<String>();
        list.add("");
        for(int i =0;i<word.length();i++){
            char ch = word.charAt(i);
            List<String> newList = new LinkedList<String>();
            for(String tmp : list){
                if(tmp.length() == 0){
                    newList.add(tmp+"1");
                }else{ // extract the last number in ,note that there might be no last digit
                    int val = 0;
                    int endIndex = tmp.length()-1;
                    while(endIndex >=0 && isDigit(tmp.charAt(endIndex))){
                        endIndex--;
                    }
                    if(endIndex!= tmp.length()-1){
                        val = Integer.parseInt(tmp.substring(endIndex+1));
                    }
                    newList.add(tmp.substring(0,endIndex+1)+ (val+1));
                }
                newList.add(tmp+ch);
            }
            list = newList;
        }
        return list;
    }
    private boolean isDigit(char ch){
        return ch>='0' && ch <= '9';
    }

Read full article from Generalized Abbreviation – AlgoBox by dietpepsi
at
Labels: , , , , , , , , ,

Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts

  • Archives
  • LeetCode 471 - Encode String with Shortest Length
    Related:  LeetCode 394 - Decode String http://bookshadow.com/weblog/2016/12/11/leetcode-encode-string-with-shortest-length/ Given a  non...
  • Greedy Algorithms | Set 3 (Huffman Coding) | GeeksforGeeks
    Greedy Algorithms | Set 3 (Huffman Coding) | GeeksforGeeks Huffman coding is a lossless data compression algorithm. The idea is to assign ...
  • Buttercola: Buddy System
    Buttercola: Buddy System Given a complete binary tree with nodes of values of either 1 or 0, the following rules always hold: 1. A node...
  • Minimum area of a square enclosing given set of points
    Problem solving with programming: Minimum area of a square enclosing given set of points Given a set of coordinates in a two dimensional ...
  • HackerRank: N Puzzle
    HackerRank: N Puzzle N Puzzle is a sliding blocks game that takes place on a k * k grid with ((k * k) - 1) tiles each numbered from 1 to ...
  • LeetCode 394 - Decode String
    Follow up:  LeetCode 471 - Encode String with Shortest Length https://leetcode.com/problems/decode-string/ Given an encoded string, retu...
  • Hilbert Curve - Airbnb
    airbnb面试题汇总 Hilbert Curve Hilbert曲线可以无限阶下去，从1阶开始，落在一个矩阵里，让你写个function，三个参数（x,y,阶数），return 这个点（x,y）是在这阶curve里从原点出发的第几步 int hilbertCurve(...
  • Simple Text Editor - HackerRank
    https://www.hackerrank.com/challenges/simple-text-editor In this problem, your task is to implement a simple text editor. Initially, a fi...
  • LeetCode 291 - Word Pattern II
    leetcode 291 Word Pattern II Given a  pattern  and a string  str , find if  str  follows the same pattern. Here  follow  means a full m...