portrait of linear algebra

Link:http://www.cnblogs.com/redmoon/archive/2011/03/29/1999242.htmlFor the engineering class, graphics and other professional software, need a lot of mathematical calculations, and the most used is the calculation of linear algebra.So, on top of. NET, and above all, how do you complete the related linear algebra calculations above. NET 4.0 and VS2010? I think the

For professional software such as engineering and graphics, a large amount of mathematical computation is required, and linear algebra is the most used. So, on top of. net, especially on. NET 4.0 and vs2010, how can we complete Related Linear Algebra computing? I want to use the following methods: I. self-built and

coefficient determinant must be zero. 1.12 homogeneous and non-homogeneous equations Definition: Linear Equations with zero constants are called homogeneous linear equations; otherwise, they are called non-homogeneous linear equations. Conclusion: homogeneous linear equations always have solutions, because (0, 0 ,...

inner product can also be applied naturally to any dimension of space.With the concept of distance, of course we have to do something interesting with it. or from the concept of geometry, we can use distance to calculate the perimeter and area of a plane graph and the volume of the spatial graph. For example, we can calculate the coordinates of a point in a line or a plane that is closest to the nearest point on the straight or flat plane. The two applications in mathematics, the former produce

To pick up the flowers Don't forget beginner's mind Apply 've seen Bit by bit Linear algebra is the combination of a group of numbers by linear combinations to get another set of numbers. The so-called linear combination, like the purchase of vegetables, I can buy half a catty of vegetables, two ca

Finally, I read the book Linear Algebra and Its Application David C. Lay intermittently. I have to say that it is indeed a classic book. There is a sense of mutual sorrow (in fact, I thought the book was quite good at the beginning ). I feel that the books written by foreigners are very popular. They really want to teach people to understand and learn something, rather than reading a lot of textbooks in Chi

??Recently in the implementation of the algorithm, the feeling of lack of knowledge of mathematics, here -------------------------------------------------- calculus --------------------------------------------- ------------- Calculus Open Class: mit: univariate calculus http://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/ Http://v.163.com/special/sp/singlevariablecalculus.html mit: Many variable Calculus Http://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-c

This week has focused on a number of topics, including:1) from the perceptual knowledge of what is linear algebra, and from the ideological realization that linear algebra is useful.2) Simple understanding of the addition, subtraction, multiplication of the matrix. These are some of the rules that people prescribe. Mas

, single non-zero vector linearly independent;27) The sufficient and necessary condition for the linear correlation of a vector group is that one of the vectors can be linearly represented by the remaining vectors;28) The sufficient and necessary condition for the linear correlation of two vectors is that their components correspond proportionally;29) The vector group is linearly correlated with the partial

PCA Dimension Reduction-- Minimum Variance interpretation (linear algebra see PCA) Note: According to the online data collation, welcome to discussThe complexity of the machine learning algorithm is closely related to the dimensionality of the data, even with the dimension number of the exponential association. So we have to dimensionality the data.dimensionality, of course, means the loss of information,

Chapter 2 determining factors § 1 Introduction Solving equations is a basic problem in algebra. Especially in the algebra learned by Middle School, solving equations plays an important role. This chapter and the next chapter mainly discuss the General Multivariate equations, that is, linear equations. The theory of linear