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Linear algebra should learn this way

On the Internet to see an article, looked after the feeling quite deep. He tells the nature of linear algebra, and intuitively describes linear spaces, vectors, and matrices. The linear algebra course, whether you start from the determinant or directly from the matrix, is riddled with inexplicable beginnings. For example, in the national General Engineering Department of teaching the most widely used in Tongji linear algebra textbook (now to the four

Understanding the Matrix "Go" Author: Meng Yan

matrices, isn't that a wonderful thing? Is there some fundamental law of the world under the rule of matrix multiplication that seems inexplicable? If so, what are these essential laws?6. What is a determinant? Why is there such a strange rule of calculation? What is the relationship between determinant and its corresponding phalanx in nature? Why only the Phalanx has the corresponding determinant, and the general matrix does not (do not think this p

The nature of linear algebra

nature (dimension) of the object's representation, what is the matrix?3, if we think that the matrix is a set of columns (row) vector composed of a new composite vector expansion, then why this expansion has such a wide range of applications? In particular, why is the two-dimensional expansion so useful?4, if each element of the matrix is a vector, then we expand once again, become three-dimensional square, is not more useful?5. Why is the multiplication rule of matrix so stipulated? Why would

GPU programming of OpenGL core technology

buffer object (Uniform), which enables us to declare a series of global Uniform variables that are consistent across several shader programs. The associated uniform can only be set once when the object is buffered with uniform. We still need to manually set a unique uniform for each shader. Creating and configuring a uniform buffer object takes a bit of effort. Because the UNIFORM buffer object is a buffer, we can use Glgenbuffers to create one, bind to the Gl_uniform_buffer buffer target, and

MATLAB matrix [Z]

Part 1: Basic matrix knowledgeI. Create a Matrix Direct Input MethodUse Matlab functions to create a MatrixCreate a matrix using a fileIi. Matrix splitting Matrix ElementMatrix splittingSpecial MatrixIii. Matrix Operations Arithmetic OperationsRelational operationLogical operationIv. Matrix Analysis Diagonal ArrayTriangle ArrayTranspose and rotating a MatrixMatrix flipMatrix Inverse and pseudo inverseThe determining factor of the Square MatrixRank and trace of a MatrixVector and matrix normMatri

Android Matrix Source Detailed _android

matrices does not satisfy the Exchange law, so the first multiplication, the multiplier must be strictly differentiated. The first multiplication corresponds to the right multiplication in the matrix operation. Post is a multiplier because the multiplication of matrices does not satisfy the commutative law, so the first multiplication and the back multiplication must be strictly differentiated. The multip

Using Python for deep neural Networks 2

matrix, or even disgust at something very strange about the algorithm. But I hope you can change your view of matrices and linear algebra in the future, and don't let bad textbooks and teachers ' bad ppt ruin the chance that linear algebra might give you a huge boost (yes, it's not an exaggeration). Matrix is very very useful, in every corner of modern science, almost can see the figure of the matrix, deep learning is more so.Confined to space, this

Bwlabel function and Regionprops function usage detailed __matlab notes

rectangle for each part of the region is the following figure. Note: Please familiarize yourself with the use of function rectangle here. ' centroid ': a vector of 1 rows of Ndims (L), giving the center of mass (center of gravity) of each region. Note: The first element of the centroid is the horizontal center of gravity (X-coordinate) and the second element is the vertical coordinate of the center of gravity (y-coordinate). Centroid all other elements are arranged in a dimension order. The fol

Strassen matrix multiplication of Virgo algorithm (from O (n^3) to O (n^2.81)) __ algorithm

Matrix multiplication is one of the most common problems in linear algebra, and it is widely used in numerical computation. For a long time, the matrix multiplication algorithm is as straightforward as its own definition. > Set A is the matrix of MXN, B is the NXP matrix, then C=ab is the product of matrix A and matrix B, and C is the MXP matrix. The specific algorithm of > i.e. C[i][j]=∑a[i][k]xb[k][j] (k from 1 to N) is described as: for (int i = 1;i The algorithm is simple and straightfo

(serial) Drinking coffee and Learning unity--chapter II Preparatory Knowledge System (2)

What is a matrix?A rectangular table formed by the number of MN rows n columns is called a MXN matrix.Row vector and column vectorBecause vectors we can be seen as a special matrix, that is, only one row or only a single column of the Special matrix. So we call a vector of only one row, and a single column of vectors is called a column vector.Note that our program actually stores the MN number in a linear table when the matrix is stored, so getting the elements in the first few rows of a matrix

Three-dimensional reconstruction interview 13X: Some algorithm questions-today's headline ai-lab__ algorithm

, but this time L is not unique. In particular, if a is a symmetric matrix of real numbers, then the elements of L are certainly also real numbers. In addition, satisfying the above two conditions means that the eigenvalues of a matrix are positive real numbers because AX = Lamda * x, (x*) ax = Lamda * (x*) x > 0, lamda > 0. -QR decomposition is the product of a matrix into an orthogonal matrix and an upper triangular matrix. The QR decomposition can be graphically represented by a picture:In wh

A.kaw Matrix Algebra Preliminary study Note 3. Binary Matrix Operations

"Matrix Algebra Preliminary" (Introduction to Matrix ALGEBRA) course by Prof. A.k.kaw (University of South Florida) is designed and taught.PDF format Learning note Download (academia.edu)3rd. Download the course handout (PDF)Summary addition of matricesThe matrices $[a]$ and $[b]$ can is added only if they is the same size. The addition is then shown as $$[c]=[a]+[b]$$ where $ $c _{ij}=a_{ij} + b_{ij}$$ for example $$\begin{bmatrix}5 2 3\\ 1 2 7\e

Matrix Popular Understanding (II.)

different energy-level orbits, which happen instantaneously and have such a transition behavior. Therefore, there is no such movement phenomenon in nature, but we cannot observe it on the macroscopic. But anyway, the word "movement" is used here, it is easy to produce ambiguity, more precisely, should be "jump". So this sentence can be changed to: "Matrices are the description of transitions in linear spaces." But this is too physical, that is, too s

Matrix in MATLAB

Matrix in MATLAB we know that solving linear equations is the core content of linear algebra, and the matrix plays an important role in solving linear equations. Next we will use the scientific computing software MATLAB to demonstrate how to use the matrix, while also making the students' understanding of linear algebra more rational. 1. Matrix construction in MATLAB, there are two methods to construct a matrix. One is the direct method, which is to directly construct the matrix through keyboard

Opencv cvcreateglcm () is used to calculate the memory error of the gray level co-occurrence matrix.

I wrote a post on the Internet to say this problem. I didn't call it at the beginning. Later, I tried debugging in the source code, which is really troublesome. After debugging the original cvtexture. CPP, the problem is found in the icvcreateglcm_lookuptable_8u_c1r function, which is caused by out-of-bounds memory allocation. After browsing the code, the following questions are raised: 1. When the cvglcm struct is dynamically created in the cvcreateglcm function: 1. cv_call (newglcm = (cvglcm *

[Post] the essence of matrix-Description of motion

some subsequent courses, such as numerical analysis, mathematical planning, and matrix theory. Even so, even if many people are skilled in using linear algebra as a tool for scientific research and application, however, the questions raised by beginners of many courses seem to be very basic, but they are not clear. For example: * What is a matrix? A vector can be considered as a representation of n mutually independent objects (dimensions). What is a matrix? If we think that a matrix is a new

Basic knowledge of arrays

range of subscripts for a one-dimensional array is the closed interval [l,h], where each array element occupies a C storage unit, and the storage address of any of its elements AI can be determined by the following formula: Loc (AI) =loc (AL) + (I-L) XC the sequential representation and implementation of the array-two-D common mapping methods have two kinds: priority by row: First, after the column, the row number is stored in the smaller element, the row number of the same person first stor

Matrix calculation rules

It is meaningless to record a set of numbers into a matrix. The key to learning a matrix is to understand the operations between matrices.1. matrix addition Matrices can also be added. Add a single element at the corresponding position of the two matrices. The new matrix is the result of matrix addition. According to its algorithm, addition can be performed only

From 3D Studio Max to Direct 3D: Introduction to plugin Development

make the utilization of matrices, points and quaternions easier. since the manipulation of points is not really a big challenge, I'm not going to overview the point3 class. talking about quaternions wocould go beyond the scope of this article, as they are mostly used when dealing with animation. so only fundamentals of matrices are explained. here we go. Transformation

Introduction to MATLAB---numerical calculation

Getting started with matlab-numerical calculation All of MATLAB's operations are based on matrices, and most of the data in MATLAB is almost always matrices. In the following introduction, mainly from these aspects of MATLAB basic numerical calculation instructions:1. Creation of matrices2. Operation of The Matrix3. Operation of the polynomial4. Linear interpolation 1. Creation of

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