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数学计算 Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The require

Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The required precision is &#61541 &#61472 =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two methods
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3G开发 The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Proces

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires th ...
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数学计算 数值线性代数的Matlab应用程序包 共13个程序函数

数值线性代数的Matlab应用程序包 共13个程序函数,每个程序函数有相应的例子函数一一对应,以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram-Schmidt orthogonalization 格拉母-斯密特 MGrmSch.m QR因子分解 modified Gram-Schmidt iteration 修正格拉母-斯密特 househol ...
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matlab例程 % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input da

% EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input data, n=number of observations, d=dimension of variable % k - maximum number of Gaussian components allowed % ltol - percentage of the log likelihood difference between 2 iterations ([] for none) % ...
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人工智能/神经网络 function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 % Exponent fo

function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 % Exponent for U max_iter = 100 % Max. iteration min_impro =1e-5 % Min. improvement c=3 [center, U, obj_fcn] = fcm(data, c) for i=1:max_iter if F(U)>0.98 break else w_new=eye(in_n,in_n) center1=sum(cent ...
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人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p

% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a set of corresponding input-output pairs and an initial % network, % ...
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matlab例程 The False-Position method to solve a linear equation The Bisection method to solve linear equation

The False-Position method to solve a linear equation The Bisection method to solve linear equation Jacobi Iteration on a 3D plane
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数值算法/人工智能 program to solve a finite difference discretization of Helmholtz equation : (

program to solve a finite difference discretization of Helmholtz equation : (d2/dx2)u + (d2/dy2)u - alpha u = f using Jacobi iterative method. COMMENTS: OpenMP version 3: 1 PR outside the iteration loop, 4 Barriers Directives are used in this c ...
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文章/文档 A fractal is generally "a rough or fragmented geometric shape that can be split into parts, each of

A fractal is generally "a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole,"[1] a property called self-similarity. The term was coined by Beno&#238 t Mandelbrot in 1975 and was derived from the Latin fractus ...
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