portrait of linear algebra

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Linear Algebra related libraries

BlasThe BLAS (Basic Linear Algebra subprograms) is routines, provide standard building blocks for performing Basic vector and matrix operations. The level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, a nd the Level 3 BLAS perform matrix-matrix operations. Because the BLAS is efficient, portable, and widely available, they is commonly used in

"Linear algebra" essay: Picking up flowers at dusk

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 su

Machine learning-1, linear algebra

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 unders

Introduction to Linear Algebra (Chapter2)

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 pr

Learning notes TF062: TensorFlow linear algebra compiling framework XLA, tf062tensorflow

Learning notes TF062: TensorFlow linear algebra compiling framework XLA, tf062tensorflow XLA (Accelerated Linear Algebra), a specialized Linear Algebra compiler (demain-specific compiler), optimizes TensorFlow computing. Real-time

"Directory Navigation" linear Algebra Series blog post

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

Calculus based on algorithm--linear algebra--Discrete mathematics

??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

Calculus based on algorithm--linear algebra--Discrete mathematics

 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

[Mathematical basics of machine learning] basics of Linear Algebra

Directory Linear Algebra I. Basic Knowledge Ii. vector operations Iii. Matrix Operations Linear Algebra 1. Basic Knowledge All vectors in this book are in the form of column vectors:\ [\ Mathbf {\ VEC x} = (x_1, x_2, \ cdots, X_n) ^ t = \ begin {bmatrix} X_1 \ X_2 \ vdots \ x_n \ end {bmatrix} \] all

Resources | Learn the basics of linear algebra in deep learning with Python and numpy

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

"Determinant"-Graphical linear algebra 04

This paper turns from the public number---meets the mathematical---graphic mathematical---linear algebra partThank you for meeting the Math Working Group to explain the obscure and acting knowledgeable mathematical knowledge of university textbooks in an easy-to-understand and lively and interesting way.This time we mainly do a review, and then further the determinant of the geometric meaning of the animati

Mastering linear algebra within ten days: an amazing speeding learning experiment

Mastering linear algebra in 10 days: astoundin Translator: mapleflying Recently, my friend Scott Young made an amazing feat: within a year, he completed all 33 of the legendary mit computer science curriculum, from Linear Algebra to Computational Theory. The most important thing is that he is self-taught. He watches

Linear algebra (1)--the same solution deformation of a set of equations

The first self-taught Tongji 5 version of the linear algebra, from the beginning to look, also a little puzzled, suddenly there are many determinant appear, in fact, the definition of the real does not understand.Refer to the Li Shangzhi teacher's linear Algebra 2 video and make some notes to enhance understanding.1. T

Introduction to Linear Algebra (Chapter1)

Chapter 1 introduce to VectorsTwo core operations of linear algebra: vector addition and multiplication. Combining these two operations is a linear combination of vectors.1.1 Vector and Linear combinationsTwo basic operations: vector addition and multiplication.two x vector v and W

A review of Linear Algebra

of the lectures Started by this teacher are very good, because our linear algebra textbooks are similar. They all start from the determinant, followed by the matrix followed by the vector, I didn't quite understand the arrangement of books before, but now I am wearing it all at once: Linear Algebra is used as a too

Opengles Correlation-10-Day linear Algebra Learning Summary

Make a mark and have time to summarize the knowledge of the linear algebra obtained in the 10-day course to finish a book.1. Determinant: The value can be evaluated2, Matrix: There is a corresponding determinant, the matrix itself can not calculate a value, but can be by the equivalent determinant of the value of the matrix and the adjoint matrix, whether reversible, is also a

Mastering linear algebra within ten days: an amazing speeding learning experiment

Mastering linear algebra in 10 days: astoundin Translator: mapleflying Recently, my friend Scott Young made an amazing feat: within a year, he completed all 33 of the legendary mit computer science curriculum, from Linear Algebra to Computational Theory. The most important thing is that he is self-taught. He watches

"Vector"-Schematic linear algebra 01

This paper turns from the public number---meets the mathematical---graphic mathematical---linear algebra partThank you for meeting the Math Working Group to explain the obscure and acting knowledgeable mathematical knowledge of university textbooks in an easy-to-understand and lively and interesting way.The concept of vectorsIn real life, we put a few values together, as a whole to analyze, and this has vec

"Linear algebra" graph and Network

The previous articles on linear algebra are all explained in terms of mathematics. This article will be a different angle to explain the problem.The tutor often tells me that everything has to think about its physical or practical significance, through the phenomenon to see the essence, so that can be more profound understanding, so you can see what the actual use of li

Linear algebra Notes (feature problems are similar to matrices)

) Elementary factor:?? Use?? The elementary transformation of the lambda matrix will be a characteristic matrix?? The λe-a is transformed into a diagonal matrix, and then each diagonal element is decomposed into the product of a non-identical one-power-exponent, then all of these power-of-one-powers are referred to as the elementary factors of A;The sufficient and necessary condition for the similarity of N-order matrices A and B is that their elementary factors are the same;20) about when the m

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