Newton's method problem

1 次查看(过去 30 天)
Prozka
Prozka 2011-10-7
clear all; close all;
a=4;
b=3;
x=zeros();
x(1)=1;
for i=1:1000;
f(x(i))=(x(i)-a)^2+b;
x(i+1) =x(i)-(f(x(i))/diff(f(x(i))));
end
  4 个评论
Prozka
Prozka 2011-10-7
Yeah
Actually I need to write code for solve optimization problem
using Newtons Method
the problem is
Minimizing the f(x)=(x-4)^2+9
Walter Roberson
Walter Roberson 2011-10-7
Code that has a "clear all" statement is broken 99 times out of 100.

请先登录,再进行评论。

回答(3 个)

Andrei Bobrov
Andrei Bobrov 2011-10-7
for your case EDITED
f = @(x)(x - 4)^2 + 9;
syms x
ex = (x - 4)^2 + 9;
cf = double(coeffs(ex));
distxp = (4*prod(cf([1 end]))-cf(2)^2)/4/cf(3);
fun = matlabFunction(ex - distxp);
df = matlabFunction(diff(ex));
x = 10;
xout = x;
while abs(fun(x)) > 1e-6
x1 = x - fun(x)/df(x);
x = x1;
xout = [xout;x];
end
ADD corrected
f = @(x)(x - 4)^2 + 9;
syms x
ex = (x - 4)^2 + 9;
cf = fliplr(double(coeffs(expand(ex))));
distxp = (4*prod(cf([1 end]))-cf(2)^2)/4/cf(1);
fun = @(x)f(x)-distxp;
dcf = polyder(cf);
df = @(x)polyval(dcf,x);
x = 10;
xout = x;
while abs(fun(x)) > 1e-6
x1 = x - fun(x)/df(x);
x = x1;
xout = [xout;x];
end
output for the first 10 iterations and optimal x
if numel(xout)<=10
out = xout;
else
out = [xout(1:10);xout(end)];
end
  7 个评论
Andrei Bobrov
Andrei Bobrov 2011-10-9
Proshka, include your head (brain) 10000 iterations is very many
Prozka
Prozka 2011-10-9
above case I agree with you we need 10 iterations
but I need to use this code for complex functions
like f(x)=cosx+sin2x+e-x
thanks

请先登录,再进行评论。


Andreas Goser
Andreas Goser 2011-10-7
This code isn't working because diff(f(x(i))) returns [] and thus a scalar can't be divide by [].
  1 个评论
Prozka
Prozka 2011-10-7
Actually I need to write code for solve optimization problem
using Newtons Method
the problem is
Minimizing the f(x)=(x-4)^2+9

请先登录,再进行评论。


Steve
Steve 2011-10-9
You can use this Newton function implementation in general.
function n = newton(f,fp,x0,tol,Nmax)
n=0;
test_val = abs(poly_val(f,x0));
num1 = 1;
while (test_val > tol && num1<Nmax)
n = x0 - poly_val(f,x0)/poly_val(fp,x0);
test_val = abs(poly_val(f,n));
x0=n;
num1=num1+1;
end
end

类别

Help CenterFile Exchange 中查找有关 Symbolic Math Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by