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Last updated on 2015-04-28

This book is not just questions and answers. It opens with a discussion of strategies to tackle each question and its similar questions, diving into exactly how to break down and solve it

Monster Chan

I work in SainStore Inc. I am familiar with aws. I am also a iOS developer. I hope i can share my experiences and enhance our capabilities.

• 1. Array
• 1.1 Two Sum
• 1.2 3Sum
• 1.3 3Sum Closest
• 1.4 4Sum
• 1.5 Remove Element
• 1.6 Next Permutation
• 1.7 Permutation Sequence
• 1.8 Valid Sudoku
• 1.9 Trapping Rain Water
• 1.10 Rotate Image
• 1.11 Plus One
• 1.12 Word Search
• 1.14 Remove Duplicates from Sorted Array
• 1.15 Remove Duplicates from Sorted Array II
• 1.16 Search in Rotated Sorted Array
• 1.17 Search in Rotated Sorted Array II
• 1.18 Median of Two Sorted Arrays
• 1.19 Longest Consecutive Sequence
• 1.20 Set Matrix Zeroes
• 1.21 Merge Sorted Array
• 1.22 Merge Intervals
• 1.23 Rotate Array
• 1.24 Unique Paths
• 1.25 Unique Paths II
• 1.26 Triangle
• 1.27 Subsets
• 1.28 Subsets II
• 1.29 Spiral Matrix
• 1.30 Spiral Matrix II
• 1.31 Sort Colors
• 1.32 Pascal’s Triangle
• 1.33 Pascal’s Triangle II
• 1.34 Search Insert Position
• 1.35 Search for a Range
• 1.36 Search a 2D Matrix
• 1.37 Minimum Path Sum
• 1.38 Maximum Subarray
• 1.39 Maximum Product Subarray
• 1.40 Maximal Rectangle
• 1.41 Majority Element
• 1.42 Largest Rectangle in Histogram
• 1.43 Jump Game
• 1.44 Jump Game II
• 1.45 Insert Interval
• 1.46 First Missing Positive
• 1.47 Find Peak Element
• 1.48 Find Minimum in Rotated Sorted Array
• 1.49 Find Minimum in Rotated Sorted Array II
• 1.50 Container With Most Water
• 1.51 Construct Binary Tree from Preorder and Inorder Traversal
• 1.52 Construct Binary Tree from Inorder and Postorder Traversal
• 1.53 Combination Sum
• 1.54 Combination Sum II
• 1.55 Best Time to Buy and Sell Stock
• 1.56 Best Time to Buy and Sell Stock II
• 1.57 Best Time to Buy and Sell Stock III
• 2. Hash Table
• 2.1 Valid Sudoku
• 2.2 Two Sum
• 2.3 Sudoku Solver
• 2.4 Substring with Concatenation of All Words
• 2.5 Single Number
• 2.6 Repeated DNA Sequences
• 2.7 Max Points on a Line
• 2.8 Longest Substring Without Repeating Characters
• 2.9 Fraction to Recurring Decimal
• 2.10 Copy List with Random Pointer
• 2.11 Binary Tree Inorder Traversal
• 2.12 Anagrams
• 2.13 Minimum Window Substring
• 3.1 Swap Nodes in Pairs
• 3.2 Sort List
• 3.3 Rotate List
• 3.4 Reverse Nodes in k-Group
• 3.5 Reverse Linked List II
• 3.6 Reorder List
• 3.7 Remove Nth Node From End of List
• 3.8 Remove Duplicates from Sorted List
• 3.9 Remove Duplicates from Sorted List II
• 3.10 Partition List
• 3.11 Merge Two Sorted Lists
• 3.12 Merge k Sorted Lists
• 3.14 Linked List Cycle II
• 3.15 Intersection of Two Linked Lists
• 3.16 Insertion Sort List
• 3.17 Convert Sorted List to Binary Search Tree
• 4. Math
• 4.1 Valid Number
• 4.2 String to Integer (atoi)
• 4.3 Sqrt(x)
• 4.4 Roman to Integer
• 4.5 Reverse Integer
• 4.6 Pow(x, n)
• 4.7 Plus One
• 4.8 Permutation Sequence
• 4.9 Palindrome Number
• 4.10 Multiply Strings
• 4.11 Max Points on a Line
• 4.12 Integer to Roman
• 4.13 Fraction to Recurring Decimal
• 4.14 Factorial Trailing Zeroes
• 4.15 Excel Sheet Column Title
• 4.16 Excel Sheet Column Number
• 4.17 Divide Two Integers
• 5. Two Pointers
• 5.1 Valid Palindrome
• 5.2 Trapping Rain Water
• 5.3 Substring with Concatenation of All Words
• 5.4 Sort Colors
• 5.5 Rotate List
• 5.6 Remove Nth Node From End of List
• 5.7 Remove Element
• 5.8 Remove Duplicates from Sorted Array
• 5.9 Remove Duplicates from Sorted Array II
• 5.10 Partition List
• 5.11 Minimum Window Substring
• 5.12 Merge Sorted Array
• 5.13 Longest Substring Without Repeating Characters
• 5.15 Linked List Cycle II
• 5.16 Implement strStr()
• 5.17 Container With Most Water
• 5.18 4Sum
• 5.19 3Sum
• 5.20 3Sum Closest
• 6. String
• 6.1 ZigZag Conversion
• 6.3 Wildcard Matching
• 6.4 Valid Parentheses
• 6.5 Valid Palindrome
• 6.6 Valid Number
• 6.7 Text Justification
• 6.8 Substring with Concatenation of All Words
• 6.9 String to Integer (atoi)
• 6.10 Simplify Path
• 6.11 Scramble String
• 6.12 Roman to Integer
• 6.13 Reverse Words in a String
• 6.15 Regular Expression Matching
• 6.16 Multiply Strings
• 6.17 Minimum Window Substring
• 6.18 Longest Valid Parentheses
• 6.19 Longest Substring Without Repeating Characters
• 6.20 Longest Palindromic Substring
• 6.21 Longest Common Prefix
• 6.22 Letter Combinations of a Phone Number
• 6.23 Length of Last Word
• 6.24 Interleaving String
• 6.25 Integer to Roman
• 6.26 Implement strStr()
• 6.27 Generate Parentheses
• 6.28 Edit Distance
• 6.29 Distinct Subsequences
• 6.30 Decode Ways
• 6.31 Count and Say
• 6.32 Compare Version Numbers
• 6.33 Anagrams
• 7. Binary Search
• 7.1 Sqrt(x)
• 7.2 Search Insert Position
• 7.3 Search in Rotated Sorted Array
• 7.4 Search in Rotated Sorted Array II
• 7.5 Search for a Range
• 7.6 Search a 2D Matrix
• 7.7 Pow(x, n)
• 7.8 Median of Two Sorted Arrays
• 7.9 Find Peak Element
• 7.10 Find Minimum in Rotated Sorted Array
• 7.11 Find Minimum in Rotated Sorted Array II
• 7.12 Dungeon Game
• 7.13 Divide Two Integers
• 8. Divide and Conquer
• 8.1 Merge k Sorted Lists
• 8.2 Median of Two Sorted Arrays
• 8.3 Maximum Subarray
• 8.4 Majority Element
• 9. Dynamic Programming
• 9.1 Word Break
• 9.2 Word Break II
• 9.3 Wildcard Matching
• 9.4 Unique Paths
• 9.5 Unique Paths II
• 9.6 Unique Binary Search Trees
• 9.7 Unique Binary Search Trees II
• 9.8 Triangle
• 9.9 Scramble String
• 9.10 Regular Expression Matching
• 9.11 Palindrome Partitioning II
• 9.12 Minimum Path Sum
• 9.13 Maximum Subarray
• 9.14 Maximum Product Subarray
• 9.15 Maximal Rectangle
• 9.16 Longest Valid Parentheses
• 9.17 Interleaving String
• 9.18 House Robber
• 9.19 Edit Distance
• 9.20 Dungeon Game
• 9.21 Distinct Subsequences
• 9.22 Decode Ways
• 9.23 Climbing Stairs
• 9.24 Best Time to Buy and Sell Stock
• 9.25 Best Time to Buy and Sell Stock IV
• 9.26 Best Time to Buy and Sell Stock III
• 10. Backtracking
• 10.1 Word Search
• 10.3 Word Break II
• 10.4 Wildcard Matching
• 10.5 Sudoku Solver
• 10.6 Subsets
• 10.7 Subsets II
• 10.9 Regular Expression Matching
• 10.10 Permutations
• 10.11 Permutations II
• 10.12 Permutation Sequence
• 10.13 Palindrome Partitioning
• 10.14 N-Queens
• 10.15 N-Queens II
• 10.16 Letter Combinations of a Phone Number
• 10.17 Gray Code
• 10.18 Generate Parentheses
• 10.19 Combinations
• 10.20 Combination Sum
• 10.21 Combination Sum II
• 11. Stack
• 11.1 Valid Parentheses
• 11.2 Trapping Rain Water
• 11.3 Simplify Path
• 11.4 Min Stack
• 11.5 Maximal Rectangle
• 11.6 Largest Rectangle in Histogram
• 11.7 Evaluate Reverse Polish Notation
• 11.8 Binary Tree Zigzag Level Order Traversal
• 11.9 Binary Tree Preorder Traversal
• 11.10 Binary Tree Postorder Traversal
• 11.11 Binary Tree Inorder Traversal
• 11.12 Binary Search Tree Iterator
• 12. Heap
• 12.1 Merge k Sorted Lists
• 13. Greedy
• 13.1 Wildcard Matching
• 13.2 Jump Game
• 13.3 Jump Game II
• 13.4 Gas Station
• 13.5 Candy
• 13.6 Best Time to Buy and Sell Stock II
• 14. Sort
• 14.1 Sort List
• 14.2 Sort Colors
• 14.3 Merge Intervals
• 14.4 Maximum Gap
• 14.5 Largest Number
• 14.6 Insertion Sort List
• 14.7 Insert Interval
• 15. Bit Manipulation
• 15.1 Subsets
• 15.2 Single Number
• 15.3 Single Number II
• 15.4 Reverse Bits
• 15.5 Repeated DNA Sequences
• 15.6 Number of 1 Bits
• 15.7 Majority Element
• 15.8 Bitwise AND of Numbers Range
• 16. Tree
• 16.1 Validate Binary Search Tree
• 16.2 Unique Binary Search Trees
• 16.3 Unique Binary Search Trees II
• 16.4 Symmetric Tree
• 16.5 Sum Root to Leaf Numbers
• 16.6 Same Tree
• 16.7 Recover Binary Search Tree
• 16.8 Populating Next Right Pointers in Each Node
• 16.9 Populating Next Right Pointers in Each Node II
• 16.10 Path Sum
• 16.11 Path Sum II
• 16.12 Minimum Depth of Binary Tree
• 16.13 Maximum Depth of Binary Tree
• 16.14 Flatten Binary Tree to Linked List
• 16.15 Convert Sorted Array to Binary Search Tree
• 16.16 Construct Binary Tree from Preorder and Inorder Traversal
• 16.17 Construct Binary Tree from Inorder and Postorder Traversal
• 16.18 Binary Tree Zigzag Level Order Traversal
• 16.19 Binary Tree Right Side View
• 16.20 Binary Tree Preorder Traversal
• 16.21 Binary Tree Postorder Traversal
• 16.22 Binary Tree Maximum Path Sum
• 16.23 Binary Tree Level Order Traversal
• 16.24 Binary Tree Level Order Traversal II
• 16.25 Binary Tree Inorder Traversal
• 16.26 Binary Search Tree Iterator
• 16.27 Balanced Binary Tree
• 17. Depth-first Search
• 17.1 Validate Binary Search Tree
• 17.2 Symmetric Tree
• 17.3 Sum Root to Leaf Numbers
• 17.4 Same Tree
• 17.5 Recover Binary Search Tree
• 17.6 Populating Next Right Pointers in Each Node
• 17.7 Populating Next Right Pointers in Each Node II
• 17.8 Path Sum
• 17.9 Path Sum II
• 17.10 Number of Islands
• 17.11 Minimum Depth of Binary Tree
• 17.12 Maximum Depth of Binary Tree
• 17.13 Flatten Binary Tree to Linked List
• 17.14 Convert Sorted List to Binary Search Tree
• 17.15 Convert Sorted Array to Binary Search Tree
• 17.16 Construct Binary Tree from Preorder and Inorder Traversal
• 17.17 Construct Binary Tree from Inorder and Postorder Traversal
• 17.18 Clone Graph
• 17.19 Binary Tree Right Side View
• 17.20 Binary Tree Maximum Path Sum
• 17.21 Balanced Binary Tree
• 18.3 Surrounded Regions
• 18.4 Number of Islands
• 18.5 Clone Graph
• 18.6 Binary Tree Zigzag Level Order Traversal
• 18.7 Binary Tree Right Side View
• 18.8 Binary Tree Level Order Traversal
• 18.9 Binary Tree Level Order Traversal II
• 19. Graph
• 19.1 Clone Graph
• 20. Data Structure
• 20.1 Min Stack
• 20.2 LRU Cache

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