📖
LeetCode
  • Introduction
  • Array
    • Best Time To Buy And Sell Stock
      • 121.Best-Time-to-Buy-and-Sell-Stock
      • 122.Best-Time-to-Buy-and-Sell-Stock-II
      • 123.Best-Time-to-Buy-and-Sell-Stock-III
      • 188.Best-Time-to-Buy-and-Sell-Stock-IV
    • 1.Two-Sum
    • 1007.Minimum-Domino-Rotations-For-Equal-Row
    • 1031.Maximum-Sum-of-Two-Non-Overlapping-Subarrays
    • 1052.Grumpy-Bookstore-Owner
    • 11.Container-With-Most-Water
    • 1122.Relative-Sort-Array
    • 1163.Last-Substring-in-Lexicographical-Order
    • [118.Pascal's-Triangle](Array/118.Pascal's-Triangle.md)
    • 1181.Before-and-After-Puzzle
    • 1231.Divide-Chocolate
    • 1296.Divide-Array-in-Sets-of-K-Consecutive-Numbers
    • 1304.Find-N-Unique-Integers-Sum-up-to-Zero
    • 134.Gas-Station
    • 135.Candy
    • 1352.Product-of-the-Last-K-Numbers
    • 136.Single-Number
    • 14.Longest-Common-Prefix
    • 1477.Find-Two-Non-overlapping-Sub-arrays-Each-With-Target-Sum
    • 15.3Sum
    • 152.Maximum-Product-Subarray
    • 16.3Sum-Closest
    • 163.Missing-Ranges
    • 169.Majority-Element
    • 18.4Sum
    • 189.Rotate-Array
    • 204.Count-Primes
    • 215.Kth-Largest-Element-in-an-Array
    • 217.Contains-Duplicate
    • 219.Contains-Duplicate-II
    • 220.Contains-Duplicate-III
    • 228.Summary-Ranges
    • 229.Majority-Element-II
    • 238.Product-of-Array-Except-Self
    • 239.Sliding-Window-Maximum
    • 243.Shortest-Word-Distance
    • 252.Meeting-Rooms
    • 266.Palindrome-Permutation
    • 268.Missing-Number
    • 273.Integer-to-English-Words
    • 279.Perfect-Squares
    • 283.Move-Zeroes
    • 287.Find-the-Duplicate-Number
    • 29.Divide-Two-Integers
    • 299.Bulls-and-Cows
    • 31.Next-Permutation
    • 325.Maximum-Size-Subarray-Sum-Equals-k
    • 334.Increasing-Triplet-Subsequence
    • 340.Longest-Substring-with-At-Most-K-Distinct-Characters
    • 347.Top-K-Frequent-Elements
    • 349.Intersection-of-Two-Arrays
    • 350.Intersection-of-Two-Arrays-II
    • 354.Russian-Doll-Envelopes
    • 367.Valid-Perfect-Square
    • 378.Kth-Smallest-Element-in-a-Sorted-Matrix
    • 38.Count-and-Say
    • 383.Ransom-Note
    • 387.First-Unique-Character-in-a-String
    • 4.Median-of-Two-Sorted-Arrays
    • 406.Queue-Reconstruction-by-Height
    • 410.Split-Array-Largest-Sum
    • 412.Fizz-Buzz
    • 419.Battleships-in-a-Board
    • 435.Non-overlapping-Intervals
    • 438.Find-All-Anagrams-in-a-String
    • 442.Find-All-Duplicates-in-an-Array
    • 457.Circular-Array-Loop
    • 509.Fibonacci-Number
    • 53.Maximum-Subarray
    • 539.Minimum-Time-Difference
    • 540.Single-Element-in-a-Sorted-Array
    • 56.Merge-Intervals
    • 560.Subarray-Sum-Equals-K
    • 57.Insert-Interval
    • 575.Distribute-Candies
    • 581.Shortest-Unsorted-Continuous-Subarray
    • 593.Valid-Square
    • 6.ZigZag-Conversion
    • 609.Find-Duplicate-File-in-System
    • 611.Valid-Triangle-Number
    • 621.Task-Scheduler
    • 628.Maximum-Product-of-Three-Numbers
    • 632.Smallest-Range-Covering-Elements-from-K-Lists
    • 659.Split-Array-into-Consecutive-Subsequences
    • 67.Add-Binary
    • 670.Maximum-Swap
    • 7.Reverse-Integer
    • 717.1-bit-and-2-bit-Characters
    • 722.Remove-Comments
    • 724.Find-Pivot-Index
    • 763.Partition-Labels
    • 811.Subdomain-Visit-Count
    • 845.Longest-Mountain-in-Array
    • 846.Hand-of-Straights
    • 862.Shortest-Subarray-with-Sum-at-Least-K
    • 866.Prime-Palindrome
    • 881.Boats-to-Save-People
    • 937.Reorder-Data-in-Log-Files
    • 953.Verifying-an-Alien-Dictionary
    • 957.Prison-Cells-After-N-Days
    • 973.K-Closest-Points-to-Origin
    • 974.Subarray-Sums-Divisible-by-K
    • 995.Minimum-Number-of-K-Consecutive-Bit-Flips
    • Interleaving Positive And Negative Numbers
    • Maximum Subarray Difference
    • Maximum Subarray Ii
    • Merge Sorted Array Ii
    • Minimum Subarray
    • Partition Array
    • Recover Rotated Sorted Array
    • Subarray Sum Closest
    • Subarray Sum Zero
  • Basic Knowledge
    • Binary Tree
    • Bit Operation
    • Heapify
    • Java Syntax
    • Monotonous Stack
    • Trie Tree
  • Binary Search
    • 1011.Capacity-To-Ship-Packages-Within-D-Days
    • 1044.Longest-Duplicate-Substring
    • 1062.Longest-Repeating-Substring
    • 153.Find-Minimum-in-Rotated-Sorted-Array
    • 162.Find-Peak-Element
    • 278.First-Bad-Version
    • 33.Search-in-Rotated-Sorted-Array
    • 34.Find-First-and-Last-Position-of-Element-in-Sorted-Array
    • 35.Search-Insert-Position
    • [50.Pow(x,-n)](Binary-Search/50.Pow(x,-n).md)
    • [69.Sqrt(x)](Binary-Search/69.Sqrt(x).md)
    • 704.Binary-Search
    • 74.Search-a-2D-Matrix
    • 785.Is-Graph-Bipartite?
    • 796.Rotate-String
    • 81.Search-in-Rotated-Sorted-Array-II
    • Count Of Smaller Number
    • Median
    • Search In A Big Sorted Array
  • Binary Tree
    • Serialize And Deserialize
      • 297.Serialize-and-Deserialize-Binary-Tree
      • 428.Serialize-and-Deserialize-N-ary-Tree
      • 449.Serialize-and-Deserialize-BST
    • 100.Same-Tree
    • 101.Symmetric-Tree
    • 1038.Binary-Search-Tree-to-Greater-Sum-Tree
    • 105.Construct-Binary-Tree-from-Preorder-and-Inorder-Traversal
    • 106.Construct-Binary-Tree-from-Inorder-and-Postorder-Traversal
    • 108.Convert-Sorted-Array-to-Binary-Search-Tree
    • 1110.Delete-Nodes-And-Return-Forest
    • 114.Flatten-Binary-Tree-to-Linked-List
    • 1145.Binary-Tree-Coloring-Game
    • 116.Populating-Next-Right-Pointers-in-Each-Node
    • 117.Populating-Next-Right-Pointers-in-Each-Node-II
    • 129.Sum-Root-to-Leaf-Numbers
    • 144.Binary-Tree-Preorder-Traversal
    • 199.Binary-Tree-Right-Side-View
    • 222.Count-Complete-Tree-Nodes
    • 226.Invert-Binary-Tree
    • 230.Kth-Smallest-Element-in-a-BST
    • 257.Binary-Tree-Paths
    • 270.Closest-Binary-Search-Tree-Value
    • 285.Inorder-Successor-in-BST
    • 337.House-Robber-III
    • 426.Convert-Binary-Search-Tree-to-Sorted-Doubly-Linked-List
    • 510.Inorder-Successor-in-BST-II
    • 543.Diameter-of-Binary-Tree
    • 617.Merge-Two-Binary-Trees
    • 652.Find-Duplicate-Subtrees
    • 653.Two-Sum-IV---Input-is-a-BST
    • 662.Maximum-Width-of-Binary-Tree
    • 669.Trim-a-Binary-Search-Tree
    • 889.Construct-Binary-Tree-from-Preorder-and-Postorder-Traversal
    • 938.Range-Sum-of-BST
    • 94.Binary-Tree-Inorder-Traversal
    • 951.Flip-Equivalent-Binary-Trees
    • 958.Check-Completeness-of-a-Binary-Tree
    • 979.Distribute-Coins-in-Binary-Tree
    • 987.Vertical-Order-Traversal-of-a-Binary-Tree
    • Search Range In Binary Search Tree
  • Bit
    • 307.Range-Sum-Query---Mutable
    • 308.Range-Sum-Query-2D---Mutable
    • 315.Count-of-Smaller-Numbers-After-Self
    • 493.Reverse-Pairs
  • Data Structure
    • Basic Calculator
      • 224.Basic-Calculator
      • 227.Basic-Calculator-II
      • 772.Basic-Calculator-III
      • Basic Claculator Iv
    • 1146.Snapshot-Array
    • 1152.Analyze-User-Website-Visit-Pattern
    • 1167.Minimum-Cost-to-Connect-Sticks
    • 1172.Dinner-Plate-Stacks
    • 1236.Web-Crawler
    • 128.Longest-Consecutive-Sequence
    • 146.LRU-Cache
    • 155.Min-Stack
    • 158.Read-N-Characters-Given-Read4-II---Call-multiple-times
    • 225.Implement-Stack-using-Queues
    • 232.Implement-Queue-using-Stacks
    • 253.Meeting-Rooms-II
    • 263.Ugly-Number
    • 271.Encode-and-Decode-Strings
    • [28.Implement-strStr()](Data-Structure/28.Implement-strStr().md)
    • 281.Zigzag-Iterator
    • 284.Peeking-Iterator
    • 295.Find-Median-from-Data-Stream
    • 314.Binary-Tree-Vertical-Order-Traversal
    • 332.Reconstruct-Itinerary
    • 341.Flatten-Nested-List-Iterator
    • 346.Moving-Average-from-Data-Stream
    • 348.Design-Tic-Tac-Toe
    • 353.Design-Snake-Game
    • 359.Logger-Rate-Limiter
    • 362.Design-Hit-Counter
    • [380.Insert-Delete-GetRandom-O(1)](Data-Structure/380.Insert-Delete-GetRandom-O(1).md)
    • [381.Insert-Delete-GetRandom-O(1)---Duplicates-allowed](Data-Structure/381.Insert-Delete-GetRandom-O
    • 384.Shuffle-an-Array
    • 41.First-Missing-Positive
    • 460.LFU-Cache
    • [470.Implement-Rand10()-Using-Rand7()](Data-Structure/470.Implement-Rand10()-Using-Rand7().md)
    • 49.Group-Anagrams
    • 523.Continuous-Subarray-Sum
    • 528.Random-Pick-with-Weight
    • 535.Encode-and-Decode-TinyURL
    • 545.Boundary-of-Binary-Tree
    • 572.Subtree-of-Another-Tree
    • 588.Design-In-Memory-File-System
    • 622.Design-Circular-Queue
    • 642.Design-Search-Autocomplete-System
    • 692.Top-K-Frequent-Words
    • 706.Design-HashMap
    • 707.Design-Linked-List
    • 729.My-Calendar-I
    • 731.My-Calendar-II
    • 759.Employee-Free-Time
    • 794.Valid-Tic-Tac-Toe-State
    • 84.Largest-Rectangle-in-Histogram
    • 843.Guess-the-Word
    • 900.RLE-Iterator
    • 937.Reorder-Data-in-Log-Files
    • 981.Time-Based-Key-Value-Store
    • 99.Recover-Binary-Search-Tree
    • Add And Search Word Data Structure Design
    • Heapify
    • Max Tree
    • Rehashing
    • Subarray Sum Zero
  • Divide Conquer
    • 102.Binary-Tree-Level-Order-Traversal
    • 103.Binary-Tree-Zigzag-Level-Order-Traversal
    • 104.Maximum-Depth-of-Binary-Tree
    • 107.Binary-Tree-Level-Order-Traversal-II
    • 110.Balanced-Binary-Tree
    • 124.Binary-Tree-Maximum-Path-Sum
    • 173.Binary-Search-Tree-Iterator
    • 218.The-Skyline-Problem
    • 236.Lowest-Common-Ancestor-of-a-Binary-Tree
    • 450.Delete-Node-in-a-BST
    • 973.K-Closest-Points-to-Origin
    • 98.Validate-Binary-Search-Tree
    • Inorder
    • Insert Node In A Binary Search Tree
    • Postorder
    • Preorder
  • Dynamic Programming
    • 1.position
      • 1048.Longest-String-Chain
      • 198.House-Robber
      • 256.Paint-House
      • 265.Paint-House-II
      • 32.Longest-Valid-Parentheses
      • 338.Counting-Bits
      • 361.Bomb-Enemy
      • 403.Frog-Jump
      • 45.Jump-Game-II
      • 518.Coin-Change-2
      • 55.Jump-Game
      • 62.Unique-Paths
      • 63.Unique-Paths-II
      • 64.Minimum-Path-Sum
      • 70.Climbing-Stairs
      • 72.Edit-Distance
      • 85.Maximal-Rectangle
      • 871.Minimum-Number-of-Refueling-Stops
      • 91.Decode-Ways
      • 97.Interleaving-String
      • 980.Unique-Paths-III
    • 2.sequence
      • Sell Stock
        • 188.Best-Time-to-Buy-and-Sell-Stock-IV
        • 309.Best-Time-to-Buy-and-Sell-Stock-with-Cooldown
      • 115.Distinct-Subsequences
      • 132.Palindrome-Partitioning-II
      • 300.Longest-Increasing-Subsequence
      • 472.Concatenated-Words
      • 516.Longest-Palindromic-Subsequence
      • 727.Minimum-Window-Subsequence
      • 801.Minimum-Swaps-To-Make-Sequences-Increasing
      • K Sum
      • Long Common Sequence
      • Maximum Subarray Iii
      • Minimum Adjustment Cost
    • Backpack Problem
      • 1155.Number-of-Dice-Rolls-With-Target-Sum
      • 322.Coin-Change
      • 416.Partition-Equal-Subset-Sum
      • Backpack Ii
      • Backpack Iii
      • Backpack
    • 区间型
      • 1000.Minimum-Cost-to-Merge-Stones
      • 1335.Minimum-Difficulty-of-a-Job-Schedule
      • 375.Guess-Number-Higher-or-Lower-II
      • 87.Scramble-String
      • Coins In A Line Iii
    • 矩阵坐标
      • 1277.Count-Square-Submatrices-with-All-Ones
      • 221.Maximal-Square
      • 741.Cherry-Pickup
    • 1049.Last-Stone-Weight-II
    • 1140.Stone-Game-II
    • 1235.Maximum-Profit-in-Job-Scheduling
    • 1320.Minimum-Distance-to-Type-a-Word-Using-Two-Fingers
    • 1406.Stone-Game-III
    • 774.Minimize-Max-Distance-to-Gas-Station
    • Longest Arithmetic Sequence
  • Graph Search
    • Word Ladder
      • 126.Word-Ladder-II
      • 127.Word-Ladder
    • 10.Regular-Expression-Matching
    • 1041.Robot-Bounded-In-Circle
    • 1066.Campus-Bikes-II
    • 1087.Brace-Expansion
    • 1102.Path-With-Maximum-Minimum-Value
    • 113.Path-Sum-II
    • 1192.Critical-Connections-in-a-Network
    • 1197.Minimum-Knight-Moves
    • 1219.Path-with-Maximum-Gold
    • 1239.Maximum-Length-of-a-Concatenated-String-with-Unique-Characters
    • 1284.Minimum-Number-of-Flips-to-Convert-Binary-Matrix-to-Zero-Matrix
    • 1293.Shortest-Path-in-a-Grid-with-Obstacles-Elimination
    • 131.Palindrome-Partitioning
    • 133.Clone-Graph
    • 1345.Jump-Game-IV
    • 1376.Time-Needed-to-Inform-All-Employees
    • 139.Word-Break
    • 140.Word-Break-II
    • 1416.Restore-The-Array
    • 17.Letter-Combinations-of-a-Phone-Number
    • 179.Largest-Number
    • 200.Number-of-Islands
    • 212.Word-Search-II
    • 22.Generate-Parentheses
    • 248.Strobogrammatic-Number-III
    • 286.Walls-and-Gates
    • 289.Game-of-Life
    • 298.Binary-Tree-Longest-Consecutive-Sequence
    • 301.Remove-Invalid-Parentheses
    • 312.Burst-Balloons
    • 317.Shortest-Distance-from-All-Buildings
    • 320.Generalized-Abbreviation
    • 323.Number-of-Connected-Components-in-an-Undirected-Graph
    • 329.Longest-Increasing-Path-in-a-Matrix
    • 364.Nested-List-Weight-Sum-II
    • 386.Lexicographical-Numbers
    • 39.Combination-Sum
    • 399.Evaluate-Division
    • 40.Combination-Sum-II
    • 417.Pacific-Atlantic-Water-Flow
    • 430.Flatten-a-Multilevel-Doubly-Linked-List
    • 437.Path-Sum-III
    • 44.Wildcard-Matching
    • 463.Island-Perimeter
    • 465.Optimal-Account-Balancing
    • 489.Robot-Room-Cleaner
    • 490.The-Maze
    • 494.Target-Sum
    • 51.N-Queens
    • 515.Find-Largest-Value-in-Each-Tree-Row
    • 524.Longest-Word-in-Dictionary-through-Deleting
    • 529.Minesweeper
    • 547.Number-of-Provinces
    • 568.Maximum-Vacation-Days
    • 675.Cut-Off-Trees-for-Golf-Event
    • 679.24-Game
    • 695.Max-Area-of-Island
    • 698.Partition-to-K-Equal-Sum-Subsets
    • 721.Accounts-Merge
    • 733.Flood-Fill
    • 737.Sentence-Similarity-II
    • 743.Network-Delay-Time
    • 752.Open-the-Lock
    • 753.Cracking-the-Safe
    • 773.Sliding-Puzzle
    • 79.Word-Search
    • 802.Find-Eventual-Safe-States
    • 815.Bus-Routes
    • 818.Race-Car
    • 854.K-Similar-Strings
    • 863.All-Nodes-Distance-K-in-Binary-Tree
    • 864.Shortest-Path-to-Get-All-Keys
    • 909.Snakes-and-Ladders
    • 93.Restore-IP-Addresses
    • 95.Unique-Binary-Search-Trees-II
    • 96.Unique-Binary-Search-Trees
    • 994.Rotting-Oranges
  • Linked List
    • Add Two Numbers
      • 2.Add-Two-Numbers
      • 445.Add-Two-Numbers-II
    • 109.Convert-Sorted-List-to-Binary-Search-Tree
    • 138.Copy-List-with-Random-Pointer
    • 141.Linked-List-Cycle
    • 142.Linked-List-Cycle-II
    • 143.Reorder-List
    • 148.Sort-List
    • 160.Intersection-of-Two-Linked-Lists
    • 19.Remove-Nth-Node-From-End-of-List
    • 206.Reverse-Linked-List
    • 21.Merge-Two-Sorted-Lists
    • 23.Merge-k-Sorted-Lists
    • 234.Palindrome-Linked-List
    • 237.Delete-Node-in-a-Linked-List
    • 24.Swap-Nodes-in-Pairs
    • 25.Reverse-Nodes-in-k-Group
    • 328.Odd-Even-Linked-List
    • 369.Plus-One-Linked-List
    • 61.Rotate-List
    • 82.Remove-Duplicates-from-Sorted-List-II
    • 83.Remove-Duplicates-from-Sorted-List
    • 86.Partition-List
    • 876.Middle-of-the-Linked-List
    • 92.Reverse-Linked-List-II
    • Remove Duplicates From Unsorted List Geeksforgeeks
  • Matrix
    • Spiral Matrix
      • 54.Spiral-Matrix
      • 59.Spiral-Matrix-II
    • 1074.Number-of-Submatrices-That-Sum-to-Target
    • 1292.Maximum-Side-Length-of-a-Square-with-Sum-Less-than-or-Equal-to-Threshold
    • 240.Search-a-2D-Matrix-II
    • 296.Best-Meeting-Point
    • 304.Range-Sum-Query-2D---Immutable
    • 311.Sparse-Matrix-Multiplication
    • 36.Valid-Sudoku
    • 363.Max-Sum-of-Rectangle-No-Larger-Than-K
    • 37.Sudoku-Solver
    • 48.Rotate-Image
    • 498.Diagonal-Traverse
    • 562.Longest-Line-of-Consecutive-One-in-Matrix
    • 723.Candy-Crush
    • 73.Set-Matrix-Zeroes
    • 835.Image-Overlap
    • 939.Minimum-Area-Rectangle
    • 963.Minimum-Area-Rectangle-II
    • 986.Interval-List-Intersections
    • Friend Circles
  • Mergesort
    • Algorithm Swap
  • Numbers
    • 1088.Confusing-Number-II
    • 13.Roman-to-Integer
    • 166.Fraction-to-Recurring-Decimal
    • 202.Happy-Number
    • 65.Valid-Number
    • 681.Next-Closest-Time
    • 780.Reaching-Points
    • 829.Consecutive-Numbers-Sum
    • 914.X-of-a-Kind-in-a-Deck-of-Cards
    • 991.Broken-Calculator
  • Other
    • 1185.Day-of-the-Week
    • 149.Max-Points-on-a-Line
    • 176.Second-Highest-Salary
    • 20.Valid-Parentheses
    • 277.Find-the-Celebrity
    • 612.Shortest-Distance-in-a-Plane
    • [8.String-to-Integer-(atoi)](Other/8.String-to-Integer-(atoi).md)
  • Permutation And Combination
    • 46.Permutations
    • 47.Permutations-II
    • 60.Permutation-Sequence
    • 77.Combinations
    • 78.Subsets
    • 90.Subsets-II
  • Queue
    • 480.Sliding-Window-Median
    • 853.Car-Fleet
    • 862.Shortest-Subarray-with-Sum-at-Least-K
    • 950.Reveal-Cards-In-Increasing-Order
  • Sort Algorithm
    • 1057.Campus-Bikes
    • 969.Pancake-Sorting
    • Bubble Sort
    • Merge Sort
    • Quick Sort
  • Stack
    • 1130.Minimum-Cost-Tree-From-Leaf-Values
    • 1249.Minimum-Remove-to-Make-Valid-Parentheses
    • 379.Design-Phone-Directory
    • 394.Decode-String
    • 402.Remove-K-Digits
    • 456.132-Pattern
    • 496.Next-Greater-Element-I
    • 503.Next-Greater-Element-II
    • 636.Exclusive-Time-of-Functions
    • 71.Simplify-Path
    • 739.Daily-Temperatures
    • 844.Backspace-String-Compare
    • 917.Reverse-Only-Letters
    • 946.Validate-Stack-Sequences
  • String
    • 1055.Shortest-Way-to-Form-String
    • 1096.Brace-Expansion-II
    • 1100.Find-K-Length-Substrings-With-No-Repeated-Characters
    • 1153.String-Transforms-Into-Another-String
    • 12.Integer-to-Roman
    • 125.Valid-Palindrome
    • 151.Reverse-Words-in-a-String
    • 161.One-Edit-Distance
    • 165.Compare-Version-Numbers
    • 168.Excel-Sheet-Column-Title
    • 171.Excel-Sheet-Column-Number
    • 205.Isomorphic-Strings
    • 214.Shortest-Palindrome
    • 242.Valid-Anagram
    • 3.Longest-Substring-Without-Repeating-Characters
    • 344.Reverse-String
    • 415.Add-Strings
    • 43.Multiply-Strings
    • 443.String-Compression
    • 459.Repeated-Substring-Pattern
    • 482.License-Key-Formatting
    • 5.Longest-Palindromic-Substring
    • 556.Next-Greater-Element-III
    • 557.Reverse-Words-in-a-String-III
    • 567.Permutation-in-String
    • 640.Solve-the-Equation
    • 68.Text-Justification
    • 726.Number-of-Atoms
    • 736.Parse-Lisp-Expression
    • 767.Reorganize-String
    • 784.Letter-Case-Permutation
    • 792.Number-of-Matching-Subsequences
    • 809.Expressive-Words
    • 819.Most-Common-Word
    • 833.Find-And-Replace-in-String
  • Toposort
    • 1136.Parallel-Courses
    • 207.Course-Schedule
    • 210.Course-Schedule-II
    • 269.Alien-Dictionary
    • 444.Sequence-Reconstruction
    • 468.Validate-IP-Address
    • Topological Sorting
  • Trie Tree
    • 1032.Stream-of-Characters
    • 1268.Search-Suggestions-System
    • [208.Implement-Trie-(Prefix-Tree)](Trie-Tree/208.Implement-Trie-(Prefix-Tree).md)
    • 336.Palindrome-Pairs
  • Two Pointers
    • 1004.Max-Consecutive-Ones-III
    • 1099.Two-Sum-Less-Than-K
    • 159.Longest-Substring-with-At-Most-Two-Distinct-Characters
    • 167.Two-Sum-II---Input-array-is-sorted
    • 26.Remove-Duplicates-from-Sorted-Array
    • 27.Remove-Element
    • 340.Longest-Substring-with-At-Most-K-Distinct-Characters
    • 42.Trapping-Rain-Water
    • 647.Palindromic-Substrings
    • 680.Valid-Palindrome-II
    • 75.Sort-Colors
    • 76.Minimum-Window-Substring
    • 88.Merge-Sorted-Array
    • Sort Colors Ii
  • Union Find
    • 1168.Optimize-Water-Distribution-in-a-Village
    • 803.Bricks-Falling-When-Hit
    • 924.Minimize-Malware-Spread
    • 947.Most-Stones-Removed-with-Same-Row-or-Column
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  • 1376. Time Needed to Inform All Employees
  • 题目地址
  • 题目描述
  • 代码
  • Approach #1 Top down DFS
  • Approach #2 Bottom Up DFS
  • Approach #3 BFS

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1376.Time-Needed-to-Inform-All-Employees

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1376. Time Needed to Inform All Employees

题目地址

题目描述

A company has n employees with a unique ID for each employee from 0 to n - 1. The head of the company has is the one with headID.

Each employee has one direct manager given in the manager array where manager[i] is the direct manager of the i-th employee, manager[headID] = -1. Also it's guaranteed that the subordination relationships have a tree structure.

The head of the company wants to inform all the employees of the company of an urgent piece of news. He will inform his direct subordinates and they will inform their subordinates and so on until all employees know about the urgent news.

The i-th employee needs informTime[i] minutes to inform all of his direct subordinates (i.e After informTime[i] minutes, all his direct subordinates can start spreading the news).

Return the number of minutes needed to inform all the employees about the urgent news.

Example 1:
Input: n = 1, headID = 0, manager = [-1], informTime = [0]
Output: 0
Explanation: The head of the company is the only employee in the company.

Example 2:
Input: n = 6, headID = 2, manager = [2,2,-1,2,2,2], informTime = [0,0,1,0,0,0]
Output: 1
Explanation: The head of the company with id = 2 is the direct manager of all the employees in the company and needs 1 minute to inform them all.
The tree structure of the employees in the company is shown.

Example 3:
Input: n = 7, headID = 6, manager = [1,2,3,4,5,6,-1], informTime = [0,6,5,4,3,2,1]
Output: 21
Explanation: The head has id = 6. He will inform employee with id = 5 in 1 minute.
The employee with id = 5 will inform the employee with id = 4 in 2 minutes.
The employee with id = 4 will inform the employee with id = 3 in 3 minutes.
The employee with id = 3 will inform the employee with id = 2 in 4 minutes.
The employee with id = 2 will inform the employee with id = 1 in 5 minutes.
The employee with id = 1 will inform the employee with id = 0 in 6 minutes.
Needed time = 1 + 2 + 3 + 4 + 5 + 6 = 21.

Example 4:
Input: n = 15, headID = 0, manager = [-1,0,0,1,1,2,2,3,3,4,4,5,5,6,6], informTime = [1,1,1,1,1,1,1,0,0,0,0,0,0,0,0]
Output: 3
Explanation: The first minute the head will inform employees 1 and 2.
The second minute they will inform employees 3, 4, 5 and 6.
The third minute they will inform the rest of employees.

Example 5:
Input: n = 4, headID = 2, manager = [3,3,-1,2], informTime = [0,0,162,914]
Output: 1076

Constraints:
1 <= n <= 10^5
0 <= headID < n
manager.length == n
0 <= manager[i] < n
manager[headID] == -1
informTime.length == n
0 <= informTime[i] <= 1000
informTime[i] == 0 if employee i has no subordinates.
It is guaranteed that all the employees can be informed.

代码

Approach #1 Top down DFS

dfsfind out the time needed for each employees. The time for a manager =max(manager's employees) + informTime[manager]

Time O(N), Space O(N)

class Solution {
  public int numOfMinutes(int n, int headID, int[] manager, int[] informTime) {
        Map<Integer, List<Integer>> graph = new HashMap<>();
    int total = 0;
    for (int i = 0; i < manager.length; i++) {
      int j = manager[i];
      if (!graph.containsKey(j)) {
        graph.put(j, new ArrayList<>()); // j -> i
      }
      graph.get(j).add(i);
    }
    return dfs(graph, informTime, headID);
  }

  private int dfs(Map<Integer, List<Integer>> graph, int[] informTime, int cur) {
    int max = 0;
    if (!graph.containsKey(cur)) {
      return max;
    }
    for (int i = 0; i < graph.get(cur).size(); i++) {
      max = Math.max(max, dfs(graph, informTime, graph.get(cur).get(i)));
    }
    return max + informTime[cur];
  }
}

Approach #2 Bottom Up DFS

class Solution {
  public int numOfMinutes(int n, int headID, int[] manager, int[] informTime) {
    int res = 0; 
    for (int i = 0; i < n; i++) {
      res = Math.max(res, dfs(i, manager, informTime));
    }
    return res;
  }

  private int dfs(int i, int[] manager, int[] informTime) {
    if (manager[i] != -1) {
      infromTime[i] += dfs(manager[i], manger, informTime);
      manager[i] = -1;
    }
    return informTime[i];
  }
}

Approach #3 BFS

class Solution {
  public int numOfMinutes(int n, int headID, int[] manager, int[] informTime) {
    List<Integer>[] graph = new List[n];
    for (int i = 0; i < n; i++) {
      graph[i] = new ArrayList<>();
    }
    for (int i = 0; i < n; i++) {
      if (manager[i] != -1) {
        graph[manager[i]].add(i);
      }
    }

    Queue<int[]> q = new LinkedList<>();
    q.offer(new int[]{headID, 0});
    int ans = 0;
    while (!q.isEmpty()) {
      int[] top = q.poll();
      int u = top[0];
      int w = top[1];
      ans = Math.max(w, ans);

      for (int v: graph[u]) {
        q.offer(new int[]{v, w + informTime[u]});
      }
    }

    return ans;
  }
}
https://leetcode.com/problems/time-needed-to-inform-all-employees/