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POJ 3318-matrix multiplication (compression matrix with O (n^2) method to find matrix equality)

Title Address: POJ 3318Test instructions: There are 3 n*n matrix a,b,c, q AB is equal to C.Idea: The topic description is very simple, is to use matrix multiplication, but it is obvious that the time complexity of matrix multiplication is O (n^3), obviously timed out. How does that improve? is to use the compression matrix

Channel coding for the physical layer of LTE--Data information coding: Turbo coded __lte

The Turbo code skillfully constructs the long code with pseudo random character by the parallel cascade of two simple component codes through pseudo random interleaving, and realizes pseudo random decoding by multiple iterations between two soft/soft out (SISO) decoders. His performance is far more than other coding methods, and has received wide attention and development. Turbo Coding Principle The

Matrix and transformation, as well as the use of the matrix in DirectX and OpenGL: Left multiplication/right multiplication, row precedence/column precedence ,...

(1) first, regardless of DX or OpenGL, the vectors and matrices expressed are defined according to the standard in Linear Algebra:"The product of matrix A and B the element C (ij) in column J of row I of matrix C is equal to the sum of the product of the corresponding elements in column J of row I of." (Practical mathematics manual, Science Press, Second Edition)For example, C12 = A11 * B11 + A12 * B21 + A1

Matrix Transpose and matrix multiplication

Preface The reason for writing this blog is to record the implementation code for matrix transpose and matrix multiplication, for future contingencies. The direct reason is that tonight (2016.09.13) participated in the Baidu 2017 school recruit's written test (C + + post), there is a matrix transpose after the online programming problem. In view of the future wr

[Sparse Coding] Sparse Coding sparse expression paper list

Http://www.sigvc.org/bbs/thread-57-1-1.html 1 What is the goal of sensory coding:This paper introduces two sensory coding methods, PCA and Sparse Coding, compares their advantages and disadvantages, and points out that for most biological information processing, Sparse Coding is usually used.2 Sparse Coding with an ove

Linear algebra: Fifth chapter The eigenvalues of the inner product matrices of the similarity matrix and the two-second vector (1) and the similarity matrix _ linear algebra of eigenvectors

The inner product of the first section of a vector. Mathematical Concepts 1. Inner product: With n-dimensional vector Make It is called [X,y] as the inner product of the vector x and Y. 2. Norm: A norm (or length) called a vector x. 3. Unit vector: The vector x is called the unit vector. 4. When, when, said is the angle between the vector x and Y. 5. Orthogonal vector group: refers to a group of 22 orthogonal unit vectors. 6. Standard orthogonal Base: The n-dimensional vector is a base of the

PHP implements clockwise print matrix (spiral matrix) method example, matrix example

PHP implements clockwise print matrix (spiral matrix) method example, matrix example This example describes how PHP implements a clockwise print matrix. We will share this with you for your reference. The details are as follows: Problem Enter a matrix and print each number i

Multiply the HDU 4920 matrix multiplication matrix. Sparse Matrix

Matrix Multiplication Time Limit: 4000/2000 MS (Java/others) memory limit: 131072/131072 K (Java/Others)Total submission (s): 1775 accepted submission (s): 796Problem descriptiongiven two matrices A and B of size n × N, find the product of them. Bobo hates big integers. So you are only asked to find the result modulo 3. Inputthe input consists of several tests. For each tests: The first line contains N (1 ≤ n ≤800 ). each of the following n lines co

Understanding Matrix (Read Csdn Meng understanding matrix) _ Photos

A few months ago, I happened to see Meng's blog, and after reading it, unlike a deeper understanding of the matrix. Now let's summarize and share. "According to current international standards, linear algebra is expressed by axiomatic, it is the second generation mathematical model, ..., which brings about teaching difficulties." "In fact, when we started to learn linear algebra, unknowingly entered the" second-generation Mathematical model "category

OpenCV region coding and threshold coding to achieve image compression (8*8DCT transform, retain 50% coefficient) _ Image processing

section is as follows: The above program uses 8*8 matrix G less than the coefficient of the median to 0 as the mask, do not understand why the G matrix, even if so, C=median (b) This procedure also has problems, for example: B=[-3-2-1 0 1 2 3], then median (b) is 0, which obviously does not achieve the effect of removing the coefficients less than the median value, so the C=median (b) should be converte

Paths in the offoffoffer matrix and the offoffer Matrix

Paths in the offoffoffer matrix and the offoffer Matrix [Disclaimer: All Rights Reserved. indicate the source for reprinting. Do not use it for commercial purposes. Contact mailbox: libin493073668@sina.com] Question link: http://www.nowcoder.com/practice/c61c6999eecb4b8f88a98f66b273a3cc? Rp = 4 ru =/ta/coding-interviews qru =/ta/

The Learning-matrix and matrix fast power of the provincial selection algorithm

0x00 IntroductionMatrix, as the name implies, is a rectangular array composed of numbersLike this: $\begin{array}{l}\begin{bmatrix}234\0713\c\alpha\sqrt5\end{bmatrix}\\end{. array}$is a 3*3 matrix.The use of matrices in informatics and even mathematics is very extensive, the following is to introduce some of its basic knowledge, as well as the commonly used places. In this paper, we also introduce the fast matrix multiplication.0x01 What is the defini

"Video codec • Learning note" 7. Entropy Coding algorithm: basic knowledge & Huffman coding

First, the concept of entropy coding:The bigger the entropy, the more chaotic.Entropy in Informatics: Used to measure the entropy of messages, and the uncertainty of information The more random and irrelevant information, the higher the entropy Source code theorem: This shows the relationship between the entropy of Shannon and the probability of the source sign. Entropy of information is the lower limit of average code length after lossless

[Multimedia] arithmetic coding and travel Coding

Both arithmetic coding and program encoding are lossless compression. Arithmetic Coding) Arithmetic coding is a lossless data compression method and an entropy encoding method. Different from other entropy coding methods, other entropy coding methods usually divide input mes

Introduction to image compression coding and JPEG compression coding standards

commonly used in pixel encoding: 1. pulse Code Modulation (PCM); 2. entropy Coding; 3. run Length Coding; 4. bit Plane Coding (Bit Plane Coding ). Here, we will introduce the Huffman encoding and travel encoding in entropy (taking reading the. PCX file as an example ).The so-called predictive encoding is to remove the

Matrix Transformation of two-dimensional graphics (II) -- basis of matrix transformation in WPF

In the previous article, matrix transformation of two-dimensional images (I)-basic concepts have introduced some basic knowledge about matrix transformation of two-dimensional images. This article mainly introduces how to perform matrix transformation in WPF. Matrix Structure In WPF, the

Video coding and decoding 4: Video Processing and coding standards

computing Truncation parameter C BS = 4 More Obvious Block Effect More severe filtering is required to remove the block effect. Perform strong filter on the boundary when the following conditions are met: Modify when FilteringP0,P1,P2Pixel value Modify only when weak FilteringP0Pixel value Chapter 2 video encoding standards 1. International Standards Organization ITU (International Telecommunications Union): International Telecommunication Union ISO (International Standardi

Using C to implement arithmetic coding on Linux (iii)--Explanation of arithmetic coding theory

First, the arithmetic coding definition It is a non-grouping coding algorithm. It is based on the whole sequence, using recursive form of continuous coding. Instead of mapping a single source symbol into a code word, the symbol for the entire input sequence is mapped to a small interval within the interval [0 1] on the real axis, and a representativ

Huffman Coding (Huffman coding) __ Compression

Huffman Coding (Huffman coding) is a coding method, and Huffman coding is a variable-length encoding (VLC). Huffman code uses a variable-length coding table to encode a source symbol (such as a letter in a file). The Variable length codi

Path in the backtracking matrix in the path __ matrix

Topic: Please design a function to determine whether there is a path in a matrix that contains all the characters of a string. The path can start from any grid in the matrix, and each step can move one grid to the left, right, top, and bottom in the middle of the matrix. If a path passes through one of the squares of the matr

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