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  • Introduction
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    • Maximum Product of Three Numbers
    • Set Mismatch
    • Find the Duplicate Number
    • Find All Duplicates in an Array
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    • Missing Number
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  • Binary Search
    • First Bad Version
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    • Search a 2D Matrix
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    • 1 Forward
      • Moving Zeros
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      • Replace all Occurrences of String AB with C
    • 2 Oppsite
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      • 01 Matrix
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  • DFS
    • 0 Basic
      • Subsets
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      • Permutations
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      • Combination Sum
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    • 1 Enumeration
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      • Letter Combinations of a Phone Number
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      • Generate Parentheses
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    • 2 Search
      • N-Queens
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    • 3 Flood Fill
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    • 4 Path
      • Longest Increasing Path in a Matrix
      • Unique Paths III
    • 5 Memo
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    • # Word Big Four
      • Word Break
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  • Tree
    • 0 Binary Search Tree
      • Validate Binary Search Tree
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      • Verify Preorder Sequence in Binary Search Tree
      • Unique Binary Search Trees
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      • Trim a Binary Search Tree
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    • 1 Traversal
      • Binary Tree Inorder Traversal
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    • 2 Divide and Conquer
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    • 3 SubTree
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      • Equal Tree Partition
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    • 4 Path
      • Path Sum
      • Path Sum II
      • Path Sum III
      • Path Sum IV
      • Path Sum with Digits Representation
      • Binary Tree Paths
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      • Binary Tree Longest Consecutive Sequence II
      • Binary Tree Maximum Path Sum
      • Sum Root to Leaf Numbers
      • Boundary of Binary Tree
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    • 5 Level Order
      • Level Order Traversal
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      • Binary Tree Vertical Order Traversal
    • 6 LCA
      • LCA
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      • LCA III
      • LCA IV
      • Smallest Deepest Subtree
      • LCA of a BST
      • Cousins in Binary Tree
    • 7 Build Tree
      • Build Maximum Binary Tree
      • Convert Sorted List to Binary Search Tree
      • Serialize Deserialize
      • Verify Preorder Serialization of a Binary Tree
      • Construct Binary Tree from Traversals
    • 8 Distance
      • Closest Leaf in a Binary Tree
      • All Nodes Distance K in Binary Tree
    • 9 Structure
      • Flatten Binary Tree to Linked List
      • Binary Tree Upside Down
      • BST to Doubly LinkedList
      • Populating Next Right Pointers in Each Node
      • Populating Next Right Pointers in Each Node II
      • Invert Binary Tree
    • # N-ary Tree
  • String
    • 1 Pattern
      • Is Subsequence
      • One Edit Distance
      • Backspace String Compare
    • 2 Implementation
      • Reverse
      • Find the Closest Palindrome
      • Reverse Words in a String
      • Text Justification
    • 3 Substring
      • Implement Str
      • Longest Substring with At Least K Repeating Characters
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    • 4 Number
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      • Compare Version Numbers
      • String to Integer (atoi)
      • Integer to English Words
      • Integer to Roman
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    • 5 Decode
      • Decode String
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    • 6 Palindrome
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      • Palindrome Number
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      • Longest Palindromic Subsequence
      • Longest Palindromic Substrings
    • 7 Evaluation
      • Solve the Equation
      • Simplify Path
      • Valid Number
    • 8 Binary String
      • Count Binary Substrings
    • 9 Parenthesis
      • Valid Parenthesis String
      • Valid Parentheses
  • Data Structures
    • 0 Design
      • LRU
      • LFU
    • 1 LinkedList
      • Merge Sort
      • Find Cycle
      • Palindrome Linked List
      • Remove Duplicates
      • Flatten a Multilevel Doubly Linked List
      • Copy List with Random Pointer
    • 2 Stack
      • Min Stack
      • Max Stack
      • Implement Queue by Stacks
      • Implement Stack by Queues
    • 3 Queue/Deque
      • Moving Average
      • Design Circular Queue
      • Design Circular Deque
    • 4 Heap
      • Median for Data Stram
      • Kth Largest Data Stream
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    • 5 Interval
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      • Maximum Length of Pair Chain
      • Meeting Room
      • Merge Two Sorted Interval List
      • Merge K Sorted Interval List
      • Intersection of Two Sorted Intervals
      • Meeting Room II
    • 6 Matrix
      • Multiply Sparse Matrix
      • Matrix Diagonal Traverse
      • Valid Sudoku
      • Spiral Matrix
    • 7 Iterator
      • Flatten 2D Vector
      • Pair Iterator
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      • Zigzag Iterator
    • 8 Hash
      • Design HashSet
      • Design HashMap
      • Hash Function
      • ReHash
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      • Bloom Filter
      • Robin-Karp Algorithm
  • Advanced Data Structures
    • 1 Trie
      • Implement Trie
      • Stream of Characters
    • 2 Union Find
      • Number of Islands II
      • [Union Find]Graph Connect Tree
      • Minimum Spanning Tree
      • Bricks Falling When Hit
      • Most Stones Removed with Same Row or Column
      • Satisfiability of Equality Equations
    • 3 Monotonous Stack
      • Increasing Triplet Subsequence
      • Largest Rectangle in Histogram
      • Maximal Rectangle
      • Remove K Digits
      • Remove Duplicate Letters
      • Next Greater Element I
      • Next Greater Element II
    • 4 TreeSet/TreeMap
      • My Calendar I
      • My Calendar II
    • 5 Random
      • Shuffle an Array
      • Random Pick with Weight
      • Random Pick Index
    • 6 Binary Index Tree
    • 7 Segment Tree
      • Range Sum Query - Mutable
  • Graph
    • 1 General
      • Graph Deep Copy
    • 2 Topological Sorting
      • Course Schedule
      • Sequence Reconstruction
      • Alien Dictionary
    • 3 Bipartition
      • Is Graph Bipartition
      • Possible Bipartition
    • Detect Cycle in an Undirected Graph
    • Shortest Path in Undirected Graph
    • All Paths From Source to Target
    • Graph Valid Tree
    • Number of Connected Components in an Undirected Graph
    • Minimum Height Trees
  • Dynamic Programming
    • 0 Basic DP
      • Triangle
      • House Robber
      • House Robber II
      • Paint Fence
      • Paint House
    • 1 Sequence DP
      • Decode Ways
    • 2 Match Sequence DP
      • Edit Distance
      • K Edit Distance
      • Longest Common Subsequence
      • Minimum Swaps To Make Sequences Increasing
      • Scramble String
    • 3 Interval DP
      • Burst Ballons
      • Stone Game
    • 4 Matrix DP
      • Number Of Corner Rectangles
      • Max Square
      • Longest Increasing Path in a Matrix
    • 5 Backpack
      • K-Sum
      • Backpack1-01
      • Backpack2-01
      • Backpack4-Complete
      • Backpack3-Complete
      • Backpack7-Multiply
    • 6 Game DP
      • Predict the Winner
      • Can I Win
      • Coins In Line I
      • Coins In Line II
      • Coins In Line III
  • Common Methods
    • 1 Presum
      • Subarray Sum Equals K
      • Continuous Subarray Sum
      • Path Sum II
      • Min/Max Subarry
      • Contiguous 01-Array
      • Flip 01String to Monotone Increasing
      • Maximum Sum of Two Non-Overlapping Subarrays
    • 2 Bucket
      • Maximum Gap
    • 3 Simulation
      • Pour Water
    • 4 Buffer
      • Read N Characters Given Read4 II - Call multiple times
      • Read N Characters Given Read4
      • Third Maximum Number
    • 5 Merge/Union
      • Merge k Sorted Lists
      • Merge k Sorted Arrays
      • Merge k Sorted Intervals
      • Intersection of Three Sorted Array
      • Intersection of Two Arrays
      • Intersection of Two Arrays II
    • 6 Geometry
      • Max Points on a Line
    • 7 Math
      • GCD
      • Matrix Coordinate
      • Sqrt(x)
      • Divide Two Integers
      • pow(x, n)
    • 8 Sorting
      • Merge Sort
      • Quick Sort
      • Quick Select
  • Design/OOD
    • Design Rate Limiter
    • Design Hit Counter
    • Design Twitter
    • Design MapWithExpiration
    • Design Tiny URL
  • Appendix
    • Java Built-in
      • Comparator
      • Stream
      • String Pool
    • Multithreading
      • Synchronized
      • Producer-Consumer
      • CountDownLatch
      • Semaphore
      • Thread Pool
      • DeadLock
      • Inter-thread Communication
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  • Example
  • Note
  1. Tree
  2. 4 Path

Path Sum III

Your are given a binary tree in which each node contains a value. Design an algorithm to get all paths which sum to a given value. The path does not need to start or end at the root or a leaf, but it must go in a straight line down.

Example

Given a binary tree:

    1
   / \
  2   3
 /   /
4   2

for target =6, return

[
  [2, 4],
  [1, 3, 2]
]

Note

在2的基础上要求输出所有路径了

分为三个问题:

  1. path在左

  2. path在右

  3. path以root开始

难的是一定以1开始, 和为6, 又是一个分治, 分为: 一定以2出发和一定以3出发的

O(n^2)

从路径列表最后开始遍历,和为目标值则deep copy一个加入结果

public class Solution {
    /*
     * @param root: the root of binary tree
     * @param target: An integer
     * @return: all valid paths
     */
    public List<List<Integer>> binaryTreePathSum(TreeNode root, 
                                                  int target) {
        List<List<Integer>> result = new ArrayList<>();
        if (root != null) {
            helper(root, target, new ArrayList<Integer>(), result);
        }
        return result;
    }

    private void helper(TreeNode root, int target, List<Integer> path, List<List<Integer>> result) {
        if (root == null) {
            return;
        }
        path.add(root.val);
        int sum = 0;
        for (int i = path.size() - 1; i >= 0; i--) {
            sum += path.get(i);
            if (sum == target) {
                result.add(new ArrayList<Integer>(path.subList(i, path.size())));
            }
        }
        helper(root.left, target, path, result);
        helper(root.right, target, path, result);
        path.remove(path.size() - 1);
    }
}
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Last updated 6 years ago