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算法设计与分析 Design and Analysis of Algorithms
by Wanling Qu- 4.7
Approx. 25 hours to complete
课程教学目标 针对实际问题需求,进行数学建模并选择高效求解算法的训练,为提高学生的素质和创新能力打下必要的基础。主要内容涉及:面对实际问题建立数学模型、设计正确的求解算法、算法的效率估计、改进算法的途径、问题计算复杂度的估计、难解问题的确定和应对策略等等。本课程是算法课程的基础部分,主要涉及算法的设计、分析与改进途径,其他有关计算复杂性的内容将在后续课程中加以介绍。 课程内容安排 本课程的内容分成两大部分:算法的基础知识、通用算法设计技术与分析方法。 第一部分是算法基础知识,约占20%,主要介绍算法相关的基本概念和数学基础。比如,什么是算法的伪码描述?什么是算法最坏情况下和平均情况下的时间复杂度?算法时间复杂度函数的主要性质,算法复杂度估计中常用的数学方法,如序列求和及递推方程求解。 第二部分是通用的算法设计技术与分析方法,主要介绍分治策略、动态规划、贪心法、回溯与分支限界。主要介绍这些设计技术的使用条件、分析方法、改进途径,并给出一些重要的应用。 算法基础 001本周教学内容简介 002算法设计的两个例子 003问题的计算复杂度:排序问题 004货郎问题与计算复杂性 005算法及其时间复杂度 006算法的伪码表示 007函数的渐近的界 008有关函数渐近的界的定理 009几类重要的函数 第一周作业 序列求和与递推方程 010本周教学内容简介 011序列求和的方法 012递推方程与算法分析 013迭代法求解递推方程 014差消法求解递推方程 015递归树 016主定理及其证明 017主定理的应用 第二周作业 分治算法的设计与分析 018本周教学内容简介 019分治策略的设计思想 020分治算法的一般描述和分析方法 021芯片测试 022快速排序 023幂乘算法及应用 024改进分治算法的途径1:减少子问题数 025改进分治算法的途径2:增加预处理 第三周作业 分治算法的典型应用 026本周教学内容简介(01:19) 027选最大与选最小 028选第二大 029一般选择问题的算法设计 030一般选择问题的算法分析 031卷积及应用 032卷积计算 033快速傅立叶变换FFT算法 034平面点集的凸包 第四周作业 动态规划算法 035本周教学内容简介 036动态规划算法的例子...
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