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    6/12/2006

    数学学习线路

    到目前为止,5所数学牛校(MIT、Harvard、Princeton、Stanford、UCBerkeley)中,只有MIT将课程进行了拓扑排序。
    公共基础:微积分,常微分方程;
    连续应用数学:高等微积分,应用数学引论,数学模型,数值分析,偏微分方程,混沌,闭连集;
    复分析:复分析Ⅰ,复分析Ⅱ;
    实分析:分析导论,数学分析原理,流形分析,测度论,实分析,连续与离散的相互影响;
    几何拓扑:拓扑学,微分几何,代数拓扑;
    代数:线性代数Ⅰ,线性代数Ⅱ,抽象代数,数论,代数Ⅰ,代数Ⅱ,表示论;
    离散应用数学:离散数学Ⅰ,离散数学Ⅱ,组合数学,计算数学,代数组合;
    计算理论:复杂性理论,算法导论,可计算理论,计算理论,组合优化;
    逻辑:逻辑导论,数理逻辑;
    概率统计:概率论基础,统计。
     
    分析路线:数学分析I,II,III,复变函数,实变函数,测度论,泛函分析;
    代数路线:高等代数I,II,抽象代数,群表示论,李群,交换代数;
    几何与拓扑路线:拓扑学,同调论,微分拓扑;微分几何,微分流形,黎曼几何;
    方程路线:常微分方程,偏微分方程,微分动力系统;
    概率路线:概率论,数理统计,随机过程,多元统计,时间序列,应用回归;
    计算路线:数值分析,数值代数,偏微分方程数值解,最优化方法;理论力学,流体力学。

    Comments (1)

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    Picture of Anonymous
    Ayu wrote:
    好详细的线路。一个月多前老师就让把数学再好好学一下,后来我查了一下图形和几何设计方向所涉及的数学知识,发现其所涉程度之深范围之广绝非“学一下”所能解决的,估计得把自己当成一个数学专业的学生来要求才行,好在我没有打算知难而退,否则真得放弃。仅图形学一门就包括了线代、微积分、微分几何学、概率论、统计学、计算几何学、数值方法等知识,而数值方法里又包含抽样法理论、矩阵方程组、数值微分方程组和最优化,其中一部分几周前就已经下载下来(关于数值方法的电子版一本也没找着),只是一直忙着工作和VC总也没开始学,好在VC有了一点点进展,也许过几天就能分出精力来学数学了^0^
    June 14

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