LeetCode
  • Introduction
  • 第一章: 基本结构
    • 1.1 数组
      • Q11. Container With Most Water
      • Q16. 3Sum Closest
      • Q118. Pascal's Triangle
      • Q119. Pascal's Triangle II
      • Q120. Triangle
      • Q134. Gas Station
    • 1.2 链表
      • Q2: Add Two Numbers
      • Q19. Remove Nth Node From End of List
      • Q82. Remove Duplicates from Sorted List II
      • Q86: Partition List
      • Q92. Reverse Linked List II
      • Q141. Linked List Cycle
      • Q142. Linked List Cycle II
      • Q147. Insertion Sort List
      • Q160. Intersection of Two Linked Lists
      • Q206. Reverse Linked List
    • 1.3 哈希
      • Q1: Two Sum
      • Q3. Longest Substring Without Repeating Characters
    • 1.4 堆栈
      • Q84: Largest Rectangle in Histogram
      • Q155. Min Stack
      • Q20. Valid Parentheses
      • Q225. Implement Stack using Queues
      • Q232. Implement Queue using Stacks
    • 1.5 树
      • Q94. Binary Tree Inorder Traversal
      • Q100. Same Tree
      • Q101. Symmetric Tree
      • Q102. Binary Tree Level Order Traversal
      • Q103. Binary Tree Zigzag Level Order Traversal
      • Q104. Maximum Depth of Binary Tree
      • Q105. Construct Binary Tree from Preorder and Inorder Traversal
      • Q106. Construct Binary Tree from Inorder and Postorder Traversal
      • Q107. Binary Tree Level Order Traversal II
      • Q108. Convert Sorted Array to Binary Search Tree
      • Q109. Convert Sorted List to Binary Search Tree
      • Q110. Balanced Binary Tree
      • Q111. Minimum Depth of Binary Tree
      • Q112. Path Sum
      • Q113. Path Sum II
      • Q114. Flatten Binary Tree to Linked List
      • Q116. Populating Next Right Pointers in Each Node
      • Q117. Populating Next Right Pointers in Each Node II
      • Q129. Sum Root to Leaf Numbers
      • Q144. Binary Tree Preorder Traversal
    • 1.6 图
    • 1.7 二进制
      • Q89. Gray Code
      • Q136. Single Number
      • Q137. Single Number II
      • Q191. Number of 1 Bits
      • Q190. Reverse Bits
    • 1.8 字符串
      • Q5. Longest Palindromic Substring
      • Q14. Longest Common Prefix
      • Q125. Valid Palindrome
  • 第二章: 动态规划
    • Q85: Maximal Rectangle
    • Q91. Decode Ways
    • Q121. Best Time to Buy and Sell Stock
    • Q198. House Robber
  • 第三章: 递归
    • Q17. Letter Combinations of a Phone Number
    • Q78. Subsets
    • Q86. Scramble String
    • Q90: Subsets II
  • 第四章:贪心
    • Q122. Best Time to Buy and Sell Stock II
  • 第五章:分治法
  • 第六章:数学
    • Q6. ZigZag Conversion
    • Q7. Reverse Integer
    • Q9. Palindrome Number
    • Q168. Excel Sheet Column Title
    • Q171. Excel Sheet Column Number
  • 第七章:查找
    • Q15. Three Sum
    • Q167. Two Sum II
    • Q169. Majority Element
  • 第八章:排序
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  • C++代码
  • Python代码

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  1. 第二章: 动态规划

Q121. Best Time to Buy and Sell Stock

PreviousQ91. Decode WaysNextQ198. House Robber

Last updated 5 years ago

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直达:

Say you have an array for which theithelement is the price of a given stock on dayi.

If you were only permitted to complete at most one transaction (ie, buy one and sell one share of the stock), design an algorithm to find the maximum profit.

Example 1:

Input: [7, 1, 5, 3, 6, 4]
Output: 5

max. difference = 6-1 = 5 (not 7-1 = 6, as selling price needs to be larger than buying price)

Example 2:

Input: [7, 6, 4, 3, 1]
Output: 0

In this case, no transaction is done, i.e. max profit = 0.

分析

保存两个变量

  1. minPrice:当前遍历到的最少买入价格;

  2. maxProfit: 最大收益;

则更新公式为:

  1. minPrice = min(prices[i], minPrice);

  2. maxProfit = max(maxProfit, prices[i]-minPrice);

C++代码

class Solution {
public:
    int maxProfit(vector<int>& prices) {
        if(prices.size() <= 0) return 0;
        int minPrice = prices[0];
        int maxProfit = 0;
        for(int i=0; i< prices.size(); i++){
            minPrice = min(prices[i], minPrice);
            maxProfit = max(maxProfit, prices[i] - minPrice);
        }
        return maxProfit;
    }
};

Python代码

class Solution(object):
    def maxProfit(self, prices):
        """
        :type prices: List[int]
        :rtype: int
        """
        res = 0
        if (len(prices) <= 1):
            return 0
        minPrice = prices[0]
        maxProfit = 0
        for price in prices:
            minPrice = min(minPrice, price)
            maxProfit = max(maxProfit, price-minPrice)
        return maxProfit
https://leetcode.com/problems/best-time-to-buy-and-sell-stock/description/