File:Gauss Newton illustration.png
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DescriptionGauss Newton illustration.png | Illustration of Gauss-Newton applied to a curve-fitting problem with noisy data. What is plotted is the best fit curve versus the data with the fitting parameters obtained via Gauss-Newton. |
Date | (UTC) |
Source | self-made with Matlab |
Author | Oleg Alexandrov |
Source code
[edit]function [X, Y] = main()
f=inline('beta1*x/(beta2+x)', 'beta1', 'beta2', 'x');
f1=inline('x/(beta2+x)', 'beta1', 'beta2', 'x');
f2=inline('-beta1*x/(beta2+x)^2', 'beta1', 'beta2', 'x');
X = [0.038 0.194 0.425 0.626 1.253 2.500 3.740];
Y = [0.05 0.127 0.094 0.2122 0.2729 0.2665 0.3317];
beta10 = 0.9; beta20 = 0.2;
m = length(X);
R = zeros(m, 1);
J = zeros(m, 2);
v = [beta10, beta20]';
for k=0:10 % iterate
for i=1:length(X)
R(i) = Y(i) - f (beta10, beta20, X(i));
J(i, 1) = -f1(beta10, beta20, X(i));
J(i, 2) = -f2(beta10, beta20, X(i));
end
disp(sprintf('%d %0.9g %0.9g %0.9g', k, v(1), v(2), norm(R)));
v = v - (J'*J)\(J'*R);
beta10 = v(1);
beta20 = v(2);
end
% KSmrq's colors
red=[0.867 0.06 0.14];
blue = [0, 129, 205]/256;
green = [0, 200, 70]/256;
black = [0, 0, 0];
white = 0.99*[1, 1, 1];
gray = 0.8*white;
fs = 30;
lw = 7;
figure(1); clf; hold on;
set(gca, 'fontsize', fs);
Hx=xlabel('[S]')
set(gca, 'linewidth', lw/2);
Hy=ylabel('reaction rate');
hold on; %axis equal;
h=0.1;
xs = 0; xl = max(X)+0.2;
Xe = xs:h:xl;
Ye = 0*Xe;
for i=1:length(Xe)
Ye(i) = f(beta10, beta20, Xe(i));
end
plot(Xe, Ye, 'color', blue, 'linewidth', lw);
for i=1:length(X)
plot(X(i), Y(i), 'color', red, 'marker', 'd', 'linewidth', lw);
end
axis([0 4 0 0.35]);
set(gca, 'XTick', [0 1 2 3 4]);
set(gca, 'YTick', [0 0.05 0.1 0.15 0.2 0.25 0.3 0.35]);
saveas(gcf, 'Gauss_Newton_illustration.eps', 'psc2'); % save as eps
return
Public domainPublic domainfalsefalse |
I, the copyright holder of this work, release this work into the public domain. This applies worldwide. In some countries this may not be legally possible; if so: I grant anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law. |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 21:36, 20 April 2008 | 1,532 × 1,236 (53 KB) | Oleg Alexandrov (talk | contribs) | {{Information |Description=Illustration of en:Gauss-Newton algorithm |Source=self-made with Matlab |Date=~~~~~ |Author= Oleg Alexandrov |Permission= see below |other_versions= }} ==Source code== <source lang="matlab"> funct |
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