算法设计与分析 Design and Analysis of Algorithms由北大教授Wanling Qu在coursera讲授的一门算法课程。首先介绍一些与算法有关的基础知识,然后阐述经典的算法设计思想和分析技术,主要涉及的算法设计技术是:分治策略、动态规划、贪心法、回溯与分支限界等。每个视频都配有相应的讲义(pdf文件)以便阅读和复习。
1.最短路(Floyd、Dijstra,BellmanFord) 2.最小生成树(先写个prim,kruscal要用并查集,不好写) 3.大数(高精度)加减乘除 4.二分查找. (代码可在五行以内) 5.叉乘、判线段相交、然后写个凸包. 6.BFS、DFS,同时熟练hash表(要熟,要灵活,代码要简) 7.数学上的有:辗转相除(两行内),线段交点、多角形面积公式...
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I've recommended this before. I'm going to start with what I think is probably the best—I'm just going to give you resources here. I'm not going to go into a whole spiel about this. If you want to see how to actually learn algorithms and whatnot, I do have a Pluralsight course...
Sorting algorithms such as bubble sort and quicksort are used to arrange data in a particular order.(诸如冒泡排序和快速排序之类的排序算法用于将数据按特定顺序排列。)Bubble sort is a simple but not very efficient algorithm.(冒泡排序是一种...
algorithms-learn浅奏**離歌 上传 Java Python leetcode算法练习是一种在线编程挑战,它要求参与者解决各种编程问题。这些问题通常涉及数据结构和算法,以提高编程技能和解决问题的能力。 在leetcode上,你可以找到各种各样的问题,包括: 1. 动态规划 2. 图论 3. 字符串处理 4. 排序算法 5. 搜索算法 6. 机器学习...
Some of these algorithms implicitly use the predicate X < Y. Other predicates that typically satisfy the strict weak ordering requirement are X > Y, less(X, Y), and greater(X, Y). Note, however, that predicates such as X <= Y and X >= Y don't satisfy this requirement....
(technically: aLTSM network). Because RNNs have the ability to store state information, and give different outputs as a function of that state, it is theoretically possible for them to learn arbitrary computable algorithms: in other words, they have the potential to be Turing complete. Using ...
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Data Structures and Algorithms (DSA) are fundamental for creating efficient and optimized software solutions. It's used in: Software Development System Design Data Engineering Algorithmic Trading Competitive Programming and more However, there are certain fields where focusing heavily on DSA might not be...