1·Some linear algebra.
一些线性代数。
2·More linear algebra.
更多的线性代数。
3·You do need to have very good linear algebra skills.
你需要有很好的线性代数技能。
4·Linear algebra content is more abstract, logic is stronger.
线性代数内容比较抽象，逻辑性比较强。
5·Matrix proofs of several theorems in linear algebra are given.
摘要给出了线性代数中几个定理的矩阵证法。
6·Fine, this is the first lecture in MIT's course 18.06: Linear Algebra.
很好，这是MIT课程18.06的第一讲：线性代数。
7·The text for the course is this book, Introduction to Linear Algebra.
该课程的教材是这本书：线代入门。
8·Recursion is a new effective method for computing dense linear algebra.
递归算法是计算稠密线性代数的一种新的有效方法。
9·A proof of a kind of linear algebra propositions is given in this paper.
本文给出一类线性代数命题的一种证明方法。
10·Mathematical Methods: Linear Algebra, Normed Spaces, Distributions, Integration.
数学方法：线性代数，赋范空间，分布，积分。