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To implement the following functions: Upload the source code to the web site. First, use Upload. exp to implement automatic FTP upload] #! /Usr/bin/empty CT Because my space is hosted in free Godaddy space, all pages are embedded with Godaddy ads, and all source code files need to be processed, the function is to replace [Upload. Sh] #! /Bin/sh Usage: ./Upload. Sh test. cpp Files are stored in the CPP

. ------Solution-------------------- discuss You can also use the Define page to refer to the definition of the define file to determine whether the define exists. ------Solution-------------------- discuss Reference: You can also use the Define page to refer to the definition of the define file to determine whether the define exists. Anti-jumps over Ah, but others files are directly downloaded static files, here is not used. ------Soluti

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Principle of principal component analysis and its Python implementation preface:This article mainly refers to Andrew Ng's machine learning course handout, I translated, and with a Python demo demo to deepen understanding.This paper mainly introduces a dimensionality reduction algorithm, principal component analysis method, Principal components analyses, referred to as PCA, the goal of this method is to find a sub-space of the approximate concentration of data, as to how to find this subspace, th

sampled.3, some basic functions of the arrayZeros (m): M-Order all zeros policyZeros (m,n): m*n-Order all zeros policyEye (m): M-Order Unit matrixMatrix operations:Left except \ ax=b; X=a-1 times the square is multiplied by BRight divide/xa=b;x=b times A-1 Times SquareIn the operation of matrices and constants, constants are usually only used as divisorThe Inverse (ab=ba=e (unit matrix)) of the matrix is obtained, and there are corresponding methods.Inverse can be obtained by the function invTo

CLC; Clear all; A=xlsread (' C:\Users\d e l l\documents\matlab\problem four\problem-Two.xls ', ' c34:af61 '); A=size (a,1); B=size (a,2); For I=1:b SA (:, i) = (A (:, i)-mean (A (:, i)))/std (A (:, i)) ,%%% standard processing end Cm=corrcoef (SA); [V,d]=eig (CM); For j=1:b DS (j,1) =d (b+1-j,b+1-j); End for i=1:b DS (i,2) =ds (i,1)/sum (DS (:, 1)); DS (i,3) =sum (DS (1:i,1))/sum (DS (:, 1)); End t=0.85; For k=1:b if DS (k,3) >=t

covariance matrix; 2. Calculate the feature values of S and sort them in ascending order; 3. Select the feature vectors corresponding to the first n feature values to form a transformation matrix E = [E1, E2 ,..., En ']; 4. Finally, for each n-dimensional feature vector X can be converted to n-dimensional new feature vector Y: Y = transpose (E) (X-m) Finally, I have to do it myself to remember: I did it with Python numpy. If I do it with C, it's okay to look for things. It's too t

. pinv(X) Returns the pseudo-inverse B of matrix X. norm(X , ref) The ref specifies the type of the matrix or vector to be solved. cond(X, p) Returns the condition number of the P-norm of matrix X. If P = 2 corresponds to 2 norm [v,d]=eig(X) Calculate the matrix feature value and feature vector. If the equation XV = VD has a non-zero solution, V is the feature vector and D is the feature value.

]; D = 0; G1 = SS (A, B, C, D) % Model 1 G2 = TF (G1) % Model 2 A = X1 X2 X3 X1-2 0 1 X2 0-1 0 X3 0 1 0 B = U1 X1 0 X2 2 X3 0 C = X1 X2 X3 Y1 2 0 0 D = U1 Y1 0 Continuous-time model. Transfer Function: 4 ----------------- S ^ 3 + 3 s ^ 2 + 2 S 4. Establish complex mathematical models For a negative feedback system, the forward channel is composed of G1 and G2, and the feedback channel is represented by H. G1 = TF ([1 7 24], [1 10 35 50 24]); G2 = TF ([10, 5], [1, 0]); H = TF ([1], [0.01,

Matrix Creation I. Matrix Definition Example:> A = [1 2 3; 4 5 6; 7 8 9]1. The matrix is enclosed by square brackets []. 2. Elements in the same row of the matrix are separated by spaces or commas. 3. columns and rows are separated by semicolons. 4. Direct input., you can use carriage return to replace 2. assign values to matrix elements 1. assign values to matrix elements separately. Example:> X (5) = ABS (x (1 ))2. A large matrix can use a small matrix as its element. Example:> A = [A; 11 12 1

weight vector.Attention:In this case, it is possible to replace A with the eigenvector of the maximum feature root, possibly in order to maximize the amount of information (a) of the original data (not sure ...). ）3. Conformance TestingConsistency test, the specific also involves the combination of consistency test.Third, the realization of MATLABHere first search the data, see this code, the code is very clear, here directly posted here.Clc;clear; A=[1 1.2 1.5 1.5;0.833 1 1.2 1.2;0.667 0.833

(Size (G01)); Case 0, Dx = zeros (Size (G00)); Dy = zeros (Size (G00)); End Else Dx = expand (dx); dy = expand (dy); DX = dx. * 2; dy = dy. * 2; End switch (l) Case 4, W = Warp (G04, Dx, Dy); [Vx, Vy] = Estimatemotion (W, G14, half_window_size); Case 3, W = Warp (G03, Dx, Dy); [Vx, Vy] = Estimatemotion (W, G13, half_window_size); Case 2, W = Warp (G02, Dx, Dy); [Vx, Vy] = Estimatemotion (W, G12, half_window_size); Case 1, W = Warp (

., 2.]) Merge arrays Use the vstack and hstack functions in numpy: The code is as follows: >>> A = np. ones (2, 2 ))>>> B = np. eye (2)>>> Print np. vstack (a, B ))[[1. 1.][1. 1.][1. 0.][0. 1.]>>> Print np. hstack (a, B ))[[1. 1. 1. 0.][1. 1. 0. 1.] Check whether the two functions involve the shortest copy problem: The code is as follows: >>> C = np. hstack (a, B ))>>> Print c[[1. 1. 1. 0.][1. 1. 0. 1.]>>> A [1, 1] = 5>>> B [1, 1] = 5>>> Print c[[1. 1. 1. 0.][1. 1. 0. 1.] We can see that the

eigenvectors of P, resulting in XX (k,1), resulting in a projection matrix Z (KXN) of X on K eigenvectors.5. Reconstruct xx with Z and compare with X to calculate the reconstruction error4. MATLAB implementation of PCA[V, E] = Eig (cov (X ')) [E index] = sort (Diag (e), ' descend '); v = V (:, index); Meanx = mean (X ') '; P=v (:, [1:k]) [r,c] = size (X); Y = P ' * (X-repmat (meanx,1,c)); [R,c] = size (Y); XX = P * Y + repmat (Meanx, 1, c);5. PCA mai

1 #import2 3 intMainintargcConst Char*argv[]) {4 @autoreleasepool {5 //Create and set the number of array elements6Nsmutablearray *arr1=[nsmutablearray arraywithcapacity:7];7 //Copying an array8Nsarray *[email protected][@"Mon",@"Tue",@"Wed",@"Thu",@"Fri",@"Sat",@"Sun"];9Nsmutablearray *arr3=[Nsmutablearray arraywitharray:arr2];Ten //add an element to an array One[Arr3 AddObject:@"Eig"]; A //inserts an element according