Some linear algebra.

一些线性代数。

More linear algebra.

更多的线性代数。

You do need to have very good linear algebra skills.

你需要有很好的线性代数技能。

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。

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。

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。

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。

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。

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。

Mathematical Methods: Linear Algebra, Normed Spaces, Distributions, Integration.

数学方法：线性代数，赋范空间，分布，积分。

It's a general fact that you will see more in detail in linear algebra if you take it.

如果你学线性代数的话,就会学到更多细节。

Compared with Linear Algebra (18.06), more emphasis is placed on theory and proofs.

相较之线性代数(18.06)，本堂课更注重于定理及其证明。

Warning: The following USES generic linear algebra libraries; use it only as a guideline.

警告：下面使用了普通的线性代数库；使用它只是作为一个参考。

Linear algebra and probability book looked, thresh of the example on the book a lot of.

线性代数和概率书看了一遍，书上例题反复做了好多次。

This archetype generating set is just like the based solution corollary in the linear algebra.

此基模生成集相当于数学线性空间的基础解析。

Systems of linear differential equations can be handled by using the methods of linear algebra.

线性微分方程组可以应用线性代数中的方法求解。

The main means used in the paper are group theory, Galois field, module algebra and linear algebra.

文中涉及的主要理论有群论，伽罗华域，模代数和线性代数。

Familiarity with multivariable calculus, linear algebra, and probability and statistics is required.

熟悉多变量微积分，线性代数，概率和统计是必需的。

A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.

因子分析的基本知识是必要的，对线性代数的工作经验是有益的。

Its main advantage over traditional mathematical notation for linear algebra is that it's much easier to type.

同线性代数传统的数学标记法相比，其主要优点是更易于输入。

, this is my plan, the fundamental problem of linear algebra, which is to solve a system of linear equations.

，这是我的计划：线代的基本问题是用来解线性方程组（system of linear equations）。

The matrix factorization and its modification is one of the most effective techniques in numerical linear algebra.

矩阵分解的校正技术是数值线性代数中最有效的工具之一。

No particular prerequisites are needed though a proficiency in linear algebra and basic probability will be assumed.

学这门课没有特别的先修课程，但会假定你已经熟练掌握线性代数和基本机率。

College: Differential and Integral Calculus, Differential Equations, Linear Algebra, Probability and Statistics, Discrete Math.

大学：微积分，微分公式，线性代数，概率和统计，离散数学。

This paper describes the relationship between the rank of matrix, the rank of vector group and liner equation group in the linear algebra.

讨论了线性代数中矩阵的秩、向量组的秩与线性方程组的秩之间的关系。

This paper discussed the matrix of elementary transformation in the higher elementary algebra linear algebra and number theory in wide use.

本论文主要讨论了矩阵的初等变换在高等代数线性代数以及初等数论中的广泛运用。

Linear relation of vector group is an important concept in linear algebra and is also an important theoretical foundation of solving problems.

向量组的线性相关性是线性代数中的重要概念，也是解决问题的重要的理论根据。

According to the teaching characteristic of linear algebra, discuss some teaching problems of linear algebra should be attached importance to.

根据线性代数的教学特点，讨论了线性代数教学中应重视的几个问题。