任何人都可以通过MATLAB代码帮助我进行以下迭代方案,在 Mathbb r $ in Mathbb r $中,我们可以使用$ x in mathbb r $,然后使用概率$ p_1,p_2,p_2 = 1-p_2$,我们选择$ g_1 $和$ g_2 $,这样就以$ 10 $ times做同样的事情,然后我开始使用概率$ q_1,q_2 = 1-q_1 $从$ 11^{th} $ iTeration选择它们,何处$ p_1 ne p_2 ne q_1 ne q_2 $。
我确实喜欢这个,但似乎没有奏效我描述的情况。感谢您的帮助。
x0=something;
cumweight= [p_1; 1-p_1];
g1=x^2+1;
g2=3*x+x^2+1;
x = zeros(n,1);
y = zeros(n,1);
n=20;
for i=1:10
r = rand;
choice = find(cumweight >r, 1 );
switch (choice)
case 1
g1(i+1)=g1(x0);
case 2
g2(i+1)=g2(x0);
end
end
这是一个脚本,它独立于彼此而独立于概率选择G和Theta (i([p,1-p]对于I< = 10和(ii([q,1-q] for 11< = i< = 20
您可以在它上构建以执行所需的x(n 1(的确切计算。
clc
clear all
close all
%x0=something;
p_1 = 0.2;
q_1 = 0.3;
g1=1;
g2=2;
theta1 = 1;
theta2 = 2;
n = 20;
x = zeros(n,1);
y = zeros(n,1);
for i=1:20
r1 = rand; % random number of choice of g1/g2
r2 = rand; % random number of choice of theta1/theta2
if(i <= 10)
test = p_1;
elseif(i <= 20)
test = q_1;
end
choiceG = test <= r1;
choiceTheta = test <= r2;
% chose theta
if(choiceTheta)
theta = theta1;
else
theta = theta2;
end
% chose G
if(choiceG)
% the text below is chosen with probability p_1 for i <=10 and
% with probability q_1 for 11 <= i <= 20
g = g1;
else
% the text below is chosen with probability (1 - p_1) for i <=10 and
% with probability (1-q_1) for 11 <= i <= 20
g = g2;
end
disp([' chose g' num2str(g) ' and theta' num2str(theta)]) % only for ilustration purpose
% you can set the required computation for x_{n+1} here
end