05 2017 档案

摘要:class Solution { /** * @param A: sorted integer array A which has m elements, * but size of A is m+n * @param B: sorted integer array B which has n elements * @retu... 阅读全文

posted @ 2017-05-31 09:15 codingEskimo 阅读(93) 评论(0) 推荐(0)

摘要:class Solution { /** * @param A and B: sorted integer array A and B. * @return: A new sorted integer array */ public int[] mergeSortedArray(int[] A, int[] B) { // Write... 阅读全文

posted @ 2017-05-31 09:07 codingEskimo 阅读(109) 评论(0) 推荐(0)

摘要:Note:a balaced tree needs to be balaced all the time. So it is important remember the status of each subtree. If it is not balaced in the middle, the 阅读全文

posted @ 2017-05-31 09:00 codingEskimo 阅读(101) 评论(0) 推荐(0)

摘要:/** * Definition of TreeNode: * public class TreeNode { * public int val; * public TreeNode left, right; * public TreeNode(int val) { * this.val = val; * this.left ... 阅读全文

posted @ 2017-05-31 08:32 codingEskimo 阅读(82) 评论(0) 推荐(0)

摘要:/** * Definition of TreeNode: * public class TreeNode { * public int val; * public TreeNode left, right; * public TreeNode(int val) { * this.val = val; * this.left ... 阅读全文

posted @ 2017-05-31 07:20 codingEskimo 阅读(94) 评论(0) 推荐(0)

摘要:This question is a little bit harder than the Max Depth. We only compare the depth of the leaf node. If it is missing one side, this level shouldn't b 阅读全文

posted @ 2017-05-31 06:13 codingEskimo 阅读(78) 评论(0) 推荐(0)

摘要:public class Solution { /** * @param A an integer array * @return void */ public void sortIntegers2(int[] A) { // Write your code here if (A == null || A.length... 阅读全文

posted @ 2017-05-31 05:37 codingEskimo 阅读(92) 评论(0) 推荐(0)

摘要:O(n) worst, O(nlogn) average. Use quickSort This is quickSort 阅读全文

posted @ 2017-05-28 06:26 codingEskimo 阅读(166) 评论(0) 推荐(0)

摘要:Note: 约等于O(nlogn) 阅读全文

posted @ 2017-05-28 05:47 codingEskimo 阅读(131) 评论(0) 推荐(0)

摘要:Note: 审题: 注意也有一种情况是: 一共有N个元素,要k个,但有不需要从每一个块去取, 只需要从其中的一些取。所以这里end开始应该取最大的element。而且有可能完全取不到,所以start应该从0开始取。剩下的和copy book那道题想法一致。 阅读全文

posted @ 2017-05-28 04:46 codingEskimo 阅读(180) 评论(0) 推荐(0)

摘要:Note: 这道题很有意思,用的是二分法。想法是不停的试错。这个博客主把这个问题说的很清楚 https://xuezhashuati.blogspot.com/2017/03/lintcode-437-copy-books.html 其实二分法的方法可以变化的点很有限,最多变化的就是检查条件。一般难 阅读全文

posted @ 2017-05-28 03:28 codingEskimo 阅读(298) 评论(0) 推荐(0)

摘要:Given a set of distinct positive integers, find the largest subset such that every pair (Si, Sj) of elements in this subset satisfies: Si % Sj = 0 or  阅读全文

posted @ 2017-05-26 12:31 codingEskimo 阅读(160) 评论(0) 推荐(0)

摘要:Given a sequence of integers, find the longest increasing subsequence (LIS). You code should return the length of the LIS. Given a sequence of integer 阅读全文

posted @ 2017-05-26 11:05 codingEskimo 阅读(110) 评论(0) 推荐(0)

摘要:方法一: 动态规划 https://segmentfault.com/a/1190000003768736 https://siddontang.gitbooks.io/leetcode-solution/content/dynamic_programming/perfect_squares.htm 阅读全文

posted @ 2017-05-25 12:15 codingEskimo 阅读(290) 评论(0) 推荐(0)

摘要:Note:From back to start, if A[distance] is larger than the distance to the last element, it indicates that the last element is reachable. We can move 阅读全文

posted @ 2017-05-25 08:46 codingEskimo 阅读(130) 评论(0) 推荐(0)

摘要:public class Solution { /** * @param n: An integer * @return: An integer */ public int climbStairs(int n) { // write your code here if (n == 0 || n == 1) { ... 阅读全文

posted @ 2017-05-25 07:44 codingEskimo 阅读(90) 评论(0) 推荐(0)

摘要:public class Solution { /** * @param grid: a list of lists of integers. * @return: An integer, minimizes the sum of all numbers along its path */ public int minPathSum(int[][] ... 阅读全文

posted @ 2017-05-25 07:29 codingEskimo 阅读(82) 评论(0) 推荐(0)

摘要:Important point:During the iniitialize, the top or left side, if one grid is BLOCK, the rest of those points are all blocked. 阅读全文

posted @ 2017-05-25 07:13 codingEskimo 阅读(103) 评论(0) 推荐(0)

摘要:Actually it can initial f[0][0] to 1, so that it can avoid a lot of coner checking. 阅读全文

posted @ 2017-05-25 06:53 codingEskimo 阅读(78) 评论(0) 推荐(0)

摘要:Important: The hardest part is to define the state(here is f[x][y]) and its function(the relationship between them) 阅读全文

posted @ 2017-05-25 06:31 codingEskimo 阅读(118) 评论(0) 推荐(0)

摘要:Important Note:1) Pay attention to the number that is less than 1.0, because x^0.5 will larger than x. So we need to always set the right side to be 1 阅读全文

posted @ 2017-05-11 05:27 codingEskimo 阅读(124) 评论(0) 推荐(0)

摘要:Important Reference: http://stackoverflow.com/questions/13093602/finding-subarray-with-maximum-sum-number-of-elements http://www.jiuzhang.com/qa/2942/ 阅读全文

posted @ 2017-05-11 04:43 codingEskimo 阅读(122) 评论(0) 推荐(0)

摘要:The reference link: http://www.code123.cc/docs/leetcode-notes/binary_search/search_a_2d_matrix_ii.html 题解 - 自右上而左下 阅读全文

posted @ 2017-05-10 07:02 codingEskimo 阅读(98) 评论(0) 推荐(0)

摘要:This question is very hard, just remember it:Explaination: 思路清晰,就是二倍法。直接用除数去一个一个加,直到被除数被超过的话,会超时。解决办法每次将被除数增加1倍,同时将count也增加一倍,如果超过了被除数,那么用被除数减去当前和再继续本 阅读全文

posted @ 2017-05-09 10:11 codingEskimo 阅读(116) 评论(0) 推荐(0)

摘要:Important Node: 1) This problem has two parts: a. find the closest number's to the target and return its index. This is standard binary search problem 阅读全文

posted @ 2017-05-09 08:09 codingEskimo 阅读(115) 评论(0) 推荐(0)

摘要:The worst situation O(N). Actually we can either just loop through, or we can compare num[mid] with the num[end], if they are the same, that means it' 阅读全文

posted @ 2017-05-04 07:58 codingEskimo 阅读(93) 评论(0) 推荐(0)

摘要:O(logN) This question turns to find the first and last element of the target in a sorted array. Just be careful with the two result coming out of the 阅读全文

posted @ 2017-05-04 07:25 codingEskimo 阅读(96) 评论(0) 推荐(0)

摘要:O(N) if element can repeat, the worst case, you cannot throw away any section. eg. [1, 1, 1, 1, 0, 1, 1] target = 0, you cannot throw any section. We 阅读全文

posted @ 2017-05-04 07:11 codingEskimo 阅读(52) 评论(0) 推荐(0)

摘要:O(logN) Important Point: Once the target is in one section, use the point in that section as benchmark In this problem, if the target >= startVal, use 阅读全文

posted @ 2017-05-04 06:55 codingEskimo 阅读(107) 评论(0) 推荐(0)

摘要:O(logN) 阅读全文

posted @ 2017-05-04 06:21 codingEskimo 阅读(77) 评论(0) 推荐(0)

摘要:O(logN) Check four different situations: 1) The peek 2) increasing section 3) decreasing section 4) minimum 阅读全文

posted @ 2017-05-04 06:16 codingEskimo 阅读(87) 评论(0) 推荐(0)

摘要:O(logN) There are two section: 1) increase array which the first element is larger than end one. 2) the minimum to end Comparing with the endVal, 1) i 阅读全文

posted @ 2017-05-04 06:06 codingEskimo 阅读(96) 评论(0) 推荐(0)

摘要:O(logN) 阅读全文

posted @ 2017-05-04 05:45 codingEskimo 阅读(93) 评论(0) 推荐(0)

摘要:O(logN) Important Point: if there "mid" exists, it has at laest three elements in "nums", because otherwise it will not come inside the loop. So later 阅读全文

posted @ 2017-05-04 05:28 codingEskimo 阅读(101) 评论(0) 推荐(0)

摘要:class Solution { /** * @param x: An integer * @return: The sqrt of x */ public int sqrt(int x) { // write your code here if (x < 0) { return -1; ... 阅读全文

posted @ 2017-05-02 09:40 codingEskimo 阅读(95) 评论(0) 推荐(0)

摘要:If it is two eggs: http://datagenetics.com/blog/july22012/index.html Imagine we drop our first egg from floor n, if it breaks, we can step through the 阅读全文

posted @ 2017-05-02 09:02 codingEskimo 阅读(372) 评论(0) 推荐(0)

摘要:public class Solution { /** * @param A an integer array sorted in ascending order * @param target an integer * @return an integer */ public int totalOccurrence(int[] A, in... 阅读全文

posted @ 2017-05-02 07:57 codingEskimo 阅读(127) 评论(0) 推荐(0)

摘要:Method One: Using Binary Search Once. The point is how to calculated the number's index. mtarix[<num> / nCol][<num> % nCol] Method Two:Binary Search T 阅读全文

posted @ 2017-05-02 07:44 codingEskimo 阅读(113) 评论(0) 推荐(0)

摘要:O(logN) 阅读全文

posted @ 2017-05-02 06:46 codingEskimo 阅读(122) 评论(0) 推荐(0)

摘要:O(logN)For the last element, if nums[mid] == target, we threw the first part 阅读全文

posted @ 2017-05-02 06:42 codingEskimo 阅读(162) 评论(0) 推荐(0)

摘要:O(logN) 阅读全文

posted @ 2017-05-02 06:31 codingEskimo 阅读(147) 评论(0) 推荐(0)

摘要:Important point: 1) While (start + 1 < end) 2) int mid = start + (end - start)/2;3) check both nums[start] and nums[end] at the end 阅读全文

posted @ 2017-05-02 06:16 codingEskimo 阅读(112) 评论(0) 推荐(0)

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