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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complexity-analysis/
课程评论：没有评论
课程名称：时间和空间复杂度分析（大O符号） 课程概述： 本课程旨在帮助学习者深入理解和掌握时间和空间复杂度分析，这是一项在计算机科学和算法竞赛中的必备技能。即使您在这一领域遇到困难，本课程也将提供详尽的理论知识和实践练习。 课程内容涵盖： * **复杂度分析基础：** 学习大O、大Omega和大Theta符号，了解最佳、平均和最坏情况。 * **复杂度层级与类别：** 探讨复杂度的层级结构，以及P vs NP问题等概念。 * **算法分析方法：** 教授如何分析算法的时间和空间复杂度，并比较不同算法的效率。 * **高级主题：** 涉及摊销复杂度分析、递归函数、数据结构基本操作的复杂度分析。 * **实践应用：** 分析搜索算法、排序算法以及常见面试编程问题的复杂度。 * **常见误区：** 讲解在复杂度分析中常见的错误和概念误解。 学习体验： 为了提升学习效果，课程提供多种学习资源，包括： * 测验 * 额外资源 * 字幕 * 动画 * 幻灯片 * 高质量音视频 **请注意：** 当前讲师暂不提供课程答疑服务。 本课程经过 Hours and hours of researching, writing, animating, and recording，致力于提供一个出色的学习体验。切勿错过！
WARNING: The instructor is not currently available to answer questions regarding this courseYou have issues with time and space complexity analysis? No worries, get ready to take a detailed course on time and space complexity analysis that will teach you how to analyze the time and space complexity of an algorithm, an important skill to have in computer science and competitive programming!The course contains both theory and practice, theory to get all the knowledge you need to know about complexity analysis (notations, input cases, amortized complexity, complexity analysis of data structures...) and practice to apply that knowledge to analyze the time and space complexity of different algorithms!And to make your learning experience better, the course will have quizzes, extra resources, captions, animations, slides, good audio/video quality...et cetera. And most importantly, the ability to ask the instructor when you don't understand something! Hours and hours of researching, writing, animating, and recording, to provide you with this amazing course, don't miss it out!The course will cover:Complexity analysis basicsBig-O, big-Omega, and big-Theta notationsBest, average, and worst caseComplexities hierarchyComplexity classes (P vs NP problem)How to analyze the time and space complexity of an algorithmHow to compare algorithms efficiencyAmortized complexity analysisComplexity analysis of searching algorithmsComplexity analysis of sorting algorithmsComplexity analysis of recursive functionsComplexity analysis of data structures main operationsCommon mistakes and misconceptionsComplexity analysis of some popular interview coding problemsHope to see you in the course!
