algebra for idiots

The past year has been dedicated to the IEEE 802.3BJ Forward Error Correction coding Module (FEC), and found that my dual synthesis work can be extended to FEC, including the formal validation and dual synthesis of FEC.This led me to the need to learn the error-correcting code, and the related polynomial ring and finite field operations need to operate on the computational algebra system, which led me to learn computational

limit is 1 million lines, but flexible analysis when users often do not have that large amount of data.The OLAP system, which is traditionally modeled, is like a cumbersome train model that runs much faster, but is too rigid. and users need more flexible car mode, I do not need to pull so much to run so fast, I need to go where I want to go.We look at Excel, I don't care about its formatting ability, is not able to make a good-looking report out, I only care about its ability to calculate the d

The core of Linear Algebra: Vector Model Is linear algebra an objective natural law or a human design? The commonality of all programming languages is that a set of models are established, a set of syntaxes are defined, and each syntax is mapped to specific semantics. Compliance between programmers and language implementersLanguage contract: the programmer ensures that the Code conforms to the language synt

To pick up the flowers Don't forget beginner's mind Apply 've seen Bit by bit Linear algebra is a compulsory course in the University of Science, I am ashamed to say that I have not learned, throughout the semester all the classes I was thinking about one thing: this thing is very complex, what can be used to do? Think back to the math lesson I had since I was a kid:Primary school is subtraction, solves the problem of number, and

Σ algebraSo that X is a subset of the set of all subsets (subsets) of a sample space, the set X is called the Σ Algebra (Σ-algebra) and is called the σ domain (Σ-field).It has the following properties: (1) φ∈x; (Φ is an empty set)(2) If a∈x, then A's complement set a^c∈x;(3) If ai∈x (i=1,2,... ) is ∪ai∈x; Measurable spaceΩ is an arbitrary set, and X is a set of a subset of Ω that is stripped o

era is not easy to deal with. You're faced with a plethora of users who want to provide continuous service to a wide range of users in the cloud.Second, the separation of . Data in different times and places is separate, and data management requires federalism, not unitary. For example, Beijing's data, below the Haidian, Chaoyang these, but you want to replace Hebei province, the middle of a layer of Shijiazhuang, Baoding these cities, the level is not the same, not to make them into the same d

Original address Mathematics is the foundation of computer technology, linear algebra is the basis of machine learning and deep learning, the best way to understand the knowledge of the data I think is to understand the concept, mathematics is not only used for exams in school, but also the essential basic knowledge of the work, in fact, there are many interesting math classes in the school There are many expanding class of data can let us divergent t

Linear algebra is the basis of machine learning, as early as six months ago we carried out linear algebra learning, of course, for machine learning, linear algebra is not the degree of mastery can be, more of the concept of understanding and cognition. So it's easy to learn. Today did a brief summary, the first time the Mind Guide picture here, the follow-up wil

key is declared with the primary key, the key of a single attribute can be described after the attribute. If multiple attributes constitute a primary key, the preceding method must be used. The attribute of primary key must not be the same and cannot be null. Unique must be unique but can be null. Note that null cannot be compared with null. If the unique attribute is not null, multiple null values may exist. 2.4 relational algebra 2.4.1 relational

Raster-based data analysis has become one of the important aspects of spatial data analysis. It is widely used in site selection, planning, hydrology, and other fields. I have learned and summarized some articles by myself, and hope to share them with you to learn and make progress together. In the first article, we will start with the algebraic arithmetic operation of raster data to give you a perceptual knowledge of raster data.1. Data Preparation To perform map

The microblog, touched a pile of treasure: about the linear algebra study of the article. First found Chen (Http://weibo.com/acumon), former senior engineer Baidu, lifelong learners. Then find the "Renaissance" (Http://weibo.com/weidagang). This is the man's clue. The clue of the article, first saw the "linear algebra under the procedural point of view". From the perspective of application, this paper tre

The parallel execution of SQL queries has been extended from the learning of Dremel and Impala, so I took this opportunity to learn more about the parallel computing of relational databases and relational algebra. Speedup and ScaleupSpeedup are two times the hardware for half the execution time. Scaleup refers to two times of hardware in exchange for two times of tasks within the same period of time. But often things are not so simple The parallel exe

Directory Navigation1.1 Matrix and its operations ( i ): Creating a Matrix Class1.2 Matrix and its operations ( two ): operation of matrices1.3 Matrix and its operations ( three ): Transpose of matrices2.1 determinant ( i ): Create a determinant class2.2 determinant ( two ): full permutation and reverse order number2.3 determinant ( three ):n -Step determinant2.4 determinant ( four ): Upper triangular determinant3.1 matrix inversion ( i ): adjoint matrix3.2 matrix inversion ( two ): inverse of m

Chapter 2 Solving Linear equations2.1 Vectors and Linear equationsthe core problem of linear algebra : Solving the equation system. ------------"but slope are important in calculus and this islinear algebra".a*x=b two kinds of viewpoints: The line space of a and the inner product of x, or a linear combination of the column spaces of a. -------key IssueCommon matrix decomposition : LU, QR, SVD (most commonly

??Recently, when implementing algorithms. Feel the lack of knowledge of mathematics, here-------------------------------------------------- calculus --------------------------------------------- -------------Calculus Open Class:mit: univariate calculushttp://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/Http://v.163.com/special/sp/singlevariablecalculus.htmlmit: Many variable CalculusHttp://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/inde

This article is a basic learning blog from the University of Paris, PhD Hadrien Jean, which aims to help beginners/Advanced Beginners Master the concept of linear algebra based on deep learning and machine learning. Mastering these skills can improve your ability to understand and apply a variety of data science algorithms.For beginners, the theoretical underpinnings of deep learning (Ian Goodfellow, Yoshua Bengio, Aaron Courville) may be too simplist

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

Copyright Notice The architecture Architect's tutorial, "The 4th edition" of the architect's exam, is the author of the "School of soft test for Greek games". Complete the relevant reading notes for later self-examination, only for personal learning and use, not for any commercial purposes. Copyright Notice Fourth section relationship algebra and differential Cartesian product projection theta Connection apart fourth section relational

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 there are several ways:One, self-action, food and clothing: according to the needs of their o

This article reprinted address : http://www.cnblogs.com/zuoxiaolong/p/computer6.htmlBitwise operations on Boolean algebraBoolean algebra is a mathematical knowledge system that evolves from binary values of 0 and 1.We do not need to thoroughly understand this knowledge system, but in the definition of several binary operations, but we also encountered in the normal programming process. These four operations are or, are, are not and XOR . The definitio