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Apache-2.0

leet-code-rust

A collection of LeetCode problems that I've solved in Rust.

特性(Features)

  • 按照数据结构、算法划分模块(而不是常规的每一道题一个模块,大大减少了模块数量),更加便于解题和后期归纳总结;
  • 解题数量达400+,并且还在快速增长;
  • 一题多解,广泛吸取其他开源库的优秀代码,不断精益求精

开发进度(Development progress)

相关代码及文档,请查看如下文档:

leetcode实战总结

  1. 条条大路通罗马

条条大路通罗马,但有的道路崎岖难走,有的路途遥远困难重重,如何在有限的时间内付出有限的代价到达罗马呢? 因此合理规划好一条路线,选择合适的交通工具,采用巧妙的方法解决路途中的各种问题就显得十分重要。 解决力扣题也是如此,好的算法就好比选择了一条比较快捷的路线,采用合理的数据结构就好比选择了恰当的交通工具, 而数学方面的公式、定理、方法往往能为解决遇到的各种问题提供有力地支持,往往达到事半功倍的效果。

问题  
  |--分类:排序、查找、
  |--特点:前置条件、
  
解决方案  
   |--计算机方面  
          |--编程语言  
          |--设计模式:状态模式
          |--数据结构:字符串、数组、向量、双端队列、哈希集合、哈希表、二叉堆、链表、栈(最小栈、单调栈)
          |--算法:KMP(Knuth-Morris-Pratt)算法、Rabin-Karp算法、排序算法(归并排序)、查询算法(二分查找、深度优先搜索、广度优先搜索)、动态规划、分治算法、递归算法、回溯法、位运算(Brian Kernighan 算法、SWAR算法)、摩尔投票法、滑动窗口、旋转(rotate)、快慢指针、DFA算法  		  
   |--数学方面
          |--概念:质数、合数、快乐数、不快乐数、丑数、完全平方数、完美数、梅森数、约瑟夫环
          |--公式:阶乘、幂运算和对数运算、算术平方根、一元二次方程、 
          |--定理:欧几里得-欧拉定理、四平方和定理、、、 
	   |--方法:数学归纳法、牛顿迭代法、厄拉多塞筛法(埃氏筛)、快速乘(俄罗斯农夫乘法)、快速幂、
  1. 八仙过海各显神通

针对同一个问题,前人已经在计算机、数学方面积累了大量的解决方案,同时每个解决方案可能还适用于解决特定或其他的问题, 只要我们善于归纳总结,熟练掌握各种解决方案、抓住问题的关键,就能够做到举一反三,触类旁通。 此外,每个开发者的知识储备各不相同,各有所长。只有找到适合自己的解决方案就是好的方案。 在解决具体问题的过程中,可能要综合运用多种解决方案。

  1. 注意事项
  • 定义辅助函数需要在主函数及“impl Solution {” 前定义
  • 递归函数的写法
  • 数字是否溢出(overflow) (1)注意各种数字类型(uszie,i32,i64等)的范围,特别是rust用作下标的usize类型。 (2)相乘、幂运算等运算容易溢出。
  1. 刷题攻略

刷题攻略

大一计算机学生如何高效刷力扣? 对于刷题,我们都是想用最短的时间把经典题目都做一篇,这样效率才是最高的! leetcode-master RustBook Rust数据结构和算法

代码阅读

  • 代码按照数据结构、算法、数学等分成大小不同的模块写在对应的.rs文件中;
  • 相同级别的题目又按照题目编号从小到大,自上而下排序;
  • 每题的方法都写有相应的备注、链接方便快速查找;
  • 题目如果有多种解法,则在原方法名后加“_v2”之类的后缀进行区分。
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简介

Rust语言解答力扣题——极致的性能带来不一样的刷题体验。 展开 收起
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