Day 1 | 704. Binary Search | 27. Remove Element | 35. Search Insert Position | 34. First and Last Position of Element in Sorted Array
Day 2 | 977. Squares of a Sorted Array | 209. Minimum Size Subarray Sum | 59. Spiral Matrix II
Day 3 | 203. Remove Linked List Elements | 707. Design Linked List | 206. Reverse Linked List
Day 4 | 24. Swap Nodes in Pairs| 19. Remove Nth Node From End of List| 160.Intersection of Two Lists
Day 6 | 242. Valid Anagram | 349. Intersection of Two Arrays | 202. Happy Numbe | 1. Two Sum
Day 7 | 454. 4Sum II | 383. Ransom Note | 15. 3Sum | 18. 4Sum
Day 8 | 344. Reverse String | 541. Reverse String II | 替换空格 | 151.Reverse Words in a String | 左旋转字符串
Day 9 | 28. Find the Index of the First Occurrence in a String | 459. Repeated Substring Pattern
Day 10 | 232. Implement Queue using Stacks | 225. Implement Stack using Queue
Day 11 | 20. Valid Parentheses | 1047. Remove All Adjacent Duplicates In String | 150. Evaluate RPN
Day 13 | 239. Sliding Window Maximum | 347. Top K Frequent Elements
Day 14 | 144.Binary Tree Preorder Traversal | 94.Binary Tree Inorder Traversal| 145.Binary Tree Postorder Traversal
Day 15 | 102. Binary Tree Level Order Traversal | 226. Invert Binary Tree | 101. Symmetric Tree
Day 16 | 104.MaximumDepth of BinaryTree| 111.MinimumDepth of BinaryTree| 222.CountComplete TreeNodes
Day 17 | 110. Balanced Binary Tree | 257. Binary Tree Paths | 404. Sum of Left Leaves
Day 18 | 513. Find Bottom Left Tree Value | 112. Path Sum | 105&106. Construct Binary Tree
Day 20 | 654. Maximum Binary Tree | 617. Merge Two Binary Trees | 700.Search in a Binary Search Tree
Day 21 | 530. Minimum Absolute Difference in BST | 501. Find Mode in Binary Search Tree | 236. Lowes
Day 22 | 235. Lowest Common Ancestor of a BST | 701. Insert into a BST | 450. Delete Node in a BST
Day 23 | 669. Trim a BST | 108. Convert Sorted Array to BST | 538. Convert BST to Greater Tree
Day 24 | 77. Combinations
Day 25 | 216. Combination Sum III | 17. Letter Combinations of a Phone Number
Day 27 | 39. Combination Sum | 40. Combination Sum II | 131. Palindrome Partitioning
Day 28 | 93. Restore IP Addresses | 78. Subsets | 90. Subsets II
Day 29 | 491. Non-decreasing Subsequences | 46. Permutations | 47. Permutations II
Day 30 | 332. Reconstruct Itinerary | 51. N-Queens | 37. Sudoku Solver
Day 31 | 455. Assign Cookies | 376. Wiggle Subsequence | 53. Maximum Subarray
Day 32 | 122. Best Time to Buy and Sell Stock II | 55. Jump Game | 45. Jump Game II
Question Link
class Solution {
public int largestSumAfterKNegations(int[] nums, int k) {
// 1、Order the array by the absolute value from big to small.
nums = IntStream.of(nums)
.boxed() // Covert the original stream to the boxed Stream
.sorted((o1, o2) -> Math.abs(o2) - Math.abs(o1))
.mapToInt(Integer::intValue).toArray();
int len = nums.length;
// 2、Traverse from front to back. Do negation and k-- when meeting negative numbers
for(int i = 0; i < len; i++){
if(nums[i] < 0 && k > 0){
nums[i] = -nums[i];
k--;
}
}
// 3、If k > 0, repeatedly negate the smallest element
if(k % 2 == 1)
nums[len - 1] = - nums[len - 1];
// 4、Sum up
return Arrays.stream(nums).sum();
}
}
k--
when meeting negative numbersk > 0
, repeatedly negate the smallest elementQuestion Link
class Solution {
public int canCompleteCircuit(int[] gas, int[] cost) {
int curSum = 0;
int totalSum = 0;
int index = 0;
for(int i = 0; i < gas.length; i++){
curSum += gas[i] - cost[i];
totalSum += gas[i] - cost[i];
if(curSum < 0){
index = i + 1 % gas.length;
curSum = 0;
}
}
if(totalSum < 0)
return -1;
return index;
}
}
(gas[i] - cost[i])
in every station must be bigger or equal to 0
Question Link
class Solution {
public int candy(int[] ratings) {
int len = ratings.length;
int[] candyVec = new int[len];
candyVec[0] = 1;
// From left to right
for(int i = 1; i < len; i++)
candyVec[i] = (ratings[i] > ratings[i-1]) ? candyVec[i-1] + 1 : 1;
// From right to left
for(int i = len - 2; i >= 0; i--){
if(ratings[i] > ratings[i+1])
candyVec[i] = Math.max(candyVec[i], candyVec[i+1] + 1);
}
return Arrays.stream(candyVec).sum();
}
}
We used two greedy strategies for this question:
left
to right
, only handle the situations the right rating value is larger than the left rating valueright
to left
, only handle the situations the left rating value is larger than the right rating valueIn this way, we derive the global optimum from the local optimum