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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   =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two methods
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 ...
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 ...
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)
% ...
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 ...
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,
% ...
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
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 ...
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 ...