Grokking_Algorithms_算法图解_笔记
IMPLEMENTING THE ALGORITHM 搜索问题我们可以通过下图来先理解一下: 我们可以通过collections库中的deque数据结构处理这个问题 fromcollectionsimportdequesearch_queue=deque()search_queue+=graph["you"] graph["you"]得到的是一串邻居列表,我们可以通过这个方法加长我们的待搜索列表中,接下来看下我们如何进行循环遍历(key...
is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like ...
jiasonwang/grokking_algorithm master 1Branch0Tags Code README 二分搜索 要点:source 按顺序排列,可比大小。 代码要点:注意while 循环的终止条件和mid +/-1 复杂度:O(logn) 顺序匹配搜索:O(n) 选择排序 要点:双循环,内循环每次选择一个最大or最小值,并同时删除该值。
09_dijkstras_algorithm Add Dijkstra's algorithm to Kotlin (egonSchiele#268) Mar 23, 2024 10_greedy_algorithms reorg and add code for second edition Aug 9, 2023 11_dynamic_programming Update 01_longest_common_subsequence.py (egonSchiele#277) Mar 23, 2024 12_knn reorg and add code for secon...
Dijkstra’s algorithm Chapter 8. Greedy algorithms Chapter 9. Dynamic programming Chapter 10. K-nearest neighbors 代码片段和文件信息 属性 大小 日期 时间 名称--- --- --- --- --- 文件26021262 2018-09-04 01:50 Manning.Grokking.Algorithms.An.illustrated.guide.for.programmers.and.other.curious...
For software developers with high school–level algebra and calculus skills. about the author Rishal Hurbansis a technologist, founder, and international speaker. eBook $47.99$33.59 include audio$17.49 add to cart buy now free with subscription ...
Algorithm-SLAM_AND_PATH_PLANNING_ALGORITHMS.zip,这个存储库包含了mooc关于slam和路径规划算法的所有练习的解决方案,这些练习由莱布尼茨大学的claus brenner教授给出。这个存储库还包含我的个人笔记,其中大多数是pdf格式的,以及许多由我自己创建的矢量图形来说明理论概念。希望你喜欢!:),算法是为计算机程序高效、彻底地完...
2, Policy Improvement: motivation:是否可以通过上述的policy evaluation algorithm, 利用其计算后得到的start position的V值进行rank. 但存在的问题是不能通过随机生成很多策略分别并计算该策略下的V值,这样浪费了计算资源。更好的方式是利用Q value function. 通过给定的MDP和计算得到的V function,可以计算得到Q-funct...
原文地址:https://github.com/Kaixhin/grokking-pytorch PyTorchis a flexible deep learning framework that allowsautomatic differentiation(自动求导)through dynamic neural networks (i.e., networks that utilise dynamic control flow like if statements and while loops). It supports GPU acceleration,distributed...