My Algorithm Summary
  • Introduction
  • Data Structure
    • Linked List
    • Stack
      • Monotone Stack
        • 42 Trapping Rain Water
        • 84 Largest Rectangle in Histogram
        • 85 Maximal Rectangle
        • 255 Verify Preorder Sequence in Binary Search Tree
        • 316 Remove Duplicate Characters
        • 402 Remove K Digits
        • 456 132 Pattern
        • 496 Next Greater Element I
        • 503 Next Greater Element II
      • 20 Valid Parentheses
      • 71 Simplify Path
      • 150 Evaluate Reverse Polish Notation
      • 155 Min Stack
      • 173 Binary Search Tree Iterator
      • 224 Basic Calculator
      • 227 Basic Calculator II
      • 232 Implement Queue using Stacks
      • 341 Flatten Nested List Iterator
      • 394 Decode String
      • 439 Ternary Expression Parser
      • 636 Exclusive Time of Functions
    • Heap
    • Trie
    • Segment Tree
    • Tree
      • 94 Binary Tree Inorder Traversal
      • 104 Maximum Depth of Binary Tree
      • 144 Binary Tree Preorder Traversal
      • 145 Binary Tree Postorder Traversal
      • 199 Binary Tree Right Side View
      • 226 Invert Binary Tree
      • 272 Closest Binary Search Tree Value II
      • 508 Most Frequent Subtree Sum
      • 513 Find Bottom Left Tree Value
      • 515 Find Largest Value in Each Tree Row
      • 617 Merge Two Binary Trees
      • 637 Average of Levels in Binary Tree
      • 653 Two Sum IV - Input is a BST
      • 654 Maximum Binary Tree
      • 669 Trim a Binary Search Tree
      • 666 Path Sum IV
      • 230 Kth Smallest Element in a BST
      • 250 Count Univalue Subtrees
      • 538 Convert BST to Greater Tree
      • 404 Sum of Left Leaves
      • 582 Kill Process
      • 112 Path Sum
      • 108 Convert Sorted Array to Binary Search Tree
      • 111 Minimum Depth of Binary Tree
      • 501 Find Mode in Binary Search Tree
      • 102 Binary Tree Level Order Traversal
      • 107 Binary Tree Level Order Traversal II
      • 103 Binary Tree Zigzag Level Order Traversal
      • 113 Path Sum II
      • 437 Path Sum III
      • 99 Recover Binary Search Tree
      • 687 Longest Univalue Path
      • 285 Inorder Successor in BST
      • 101 Symmetric Tree
      • 129 Sum Root to Leaf Numbers
      • 298 Binary Tree Longest Consecutive Sequence
      • 270 Closest Binary Search Tree Value
      • 549 Binary Tree Longest Consecutive Sequence II
      • 98 Validate Binary Search Tree
      • 652 Find Duplicate Subtrees
      • 314 Binary Tree Vertical Order Traversal
      • 333 Largest BST Subtree
      • 563 Binary Tree Tilt
      • 110 Balanced Binary Tree
    • Graph
      • Detect Cycle
  • Algorithms
    • Union Find
      • 695 Max Area of Island
      • 684 Redundant Connection
    • Binary Search
    • Topological Sorting
    • Breadth-First Search
      • 694 Number of Distinct Islands
    • Depth-First Search
    • Two Pointers
    • Sorting
    • Backtacking
    • Dynamic Programming
      • Interval DP
        • Matrix Chain Multiplication
        • Merge Stone
      • KnapSack Problem
        • 0-1 KnapSack
        • Unbounded KnapSack
      • Longest Increasing Subsequence
      • Longest Common Subsequence
    • Reservior Sampling
    • Bipartite Graph
      • Check Bipartite Graph
      • Maximal Matching - Hungarian Algorithm
    • String Pattern Matching
      • KMP Algorithm
      • Rabin Karp Algorithm
  • System Design
    • Consistent Hashing
    • Bloom Filter
    • Caching
      • LRU
      • LFU
    • Mini Twitter
    • Tiny Url
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On this page
  • Stack
  • 1.单调栈
  • 2. 树的遍历顺序
  • 3. 表达式转换
  • 4. Simulate Recursion

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  1. Data Structure

Stack

Stack

1.单调栈

(1) 使用单调栈的情景:

a. 输出的string的字母按照lexicographical order(Leetcode #316)

b. 处理的问题的具有单调性,比如Leetcode #456, #496

(2) 模板

// 单调递增栈
for (int num : nums) {
            while (!stack.isEmpty() && stack.peek() > num) {
               stack.pop();
            }
            stack.push(num);
        }

// 单调递减栈
for (int num : nums) {
            while (!stack.isEmpty() && stack.peek() < num) {
               stack.pop();
            }
            stack.push(num);
        }

2. 树的遍历顺序

涉及到树的三种遍历顺序问题也很适合用stack, 比如Leetcode #173和#255

3. 表达式转换

许多表达式适合用stack,尤其之前的计算结果之后可能需要,比如Leetcode #150, #224 和 #439

4. Simulate Recursion

许多表达式适合用stack,尤其之前的计算结果之后可能需要

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Last updated 5 years ago

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