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File:Conjugate gradient illustration.svg

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Description Illustration of en:Conjugate gradient method
Date (UTC)
Source self-made, with en:Matlab, and then tweaked in en:Inkscape
Author Oleg Alexandrov
Public domain 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.

Source code (MATLAB)

% A comparision of gradient descent and conjugate gradient (guess who wins)

function main()

   % data
   A=[17, 2; 2, 7];  % the matrix 
   b=[2, 2]';        % right-hand side
   x0=[0, 0]';       % the initial guess  

   % linewidth and font size
   lw= 2; 
   fs = 25;

% 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];

   % Set up the plotting window
   figure(1); clf; set(gca, 'fontsize', fs); hold on; axis equal; axis off; 
   s = 0.16; x = A\b;
   Ax = x(1)-s; Bx = x(1)+s; Ay = x(2)-2.0*s; By =  x(2)+s;
   plot([Ax Bx Bx Ax Ax], [Ay Ay By By Ay], 'color', blue, 'linewidth', lw/2); % plot a blue box
   s=0.005; plot(Ax-s, Ay-s, '*', 'color', white); plot(Bx+0.5*s, By+0.5*s, '*', 'color', white); %markers
   Box = [Ax Bx Ay By];
   axis (Box);
   
   % plot the contours of the quadratic form associated with A and b
   plot_contours(A, b, Box, lw, blue);

% Do conjugate gradient and gradient descent.
% For the first one, start a bit shifted so that the two graphs don't overlap.
   shift = 0.0015*[1, -1];
   small_rad=0.002;
   tol = eps;
   x = conj_gradient(A, b, x0, tol, lw, red,   small_rad,  shift);
   x = grad_descent (A, b, x0, tol, lw, green, small_rad);

% text
   small = 0.015;
   text(x0(1)-2*small, x0(2)-1.6*small, 'x', 'fontsize', fs); 
   text(x0(1)-0.5*small, x0(2)-3*small, '0', 'fontsize', floor(0.7*fs)); 
   text(x(1)+small, x(2)+small, 'x', 'fontsize', fs);

% some balls for beauty
   small_rad = 0.003;
   ball(x0(1)+shift(1)/2, x0(2)+shift(2)/2, small_rad, blue)
   ball(x(1), x(2), small_rad, blue)

% save to disk as eps and svg
   saveas(gcf, 'Conjugate_gradient_illustration.eps', 'psc2');
   plot2svg('Conjugate_gradient_illustration.svg');
   
   
function x = conj_gradient(A, b, x, tol, lw, color, small_rad, shift)

   r=A*x - b;
   d=-r;

   while norm(r) > tol

      % a pretty ball for beauty, to cover imperfections when two segments are joined
      ball(x(1)+shift(1), x(2)+shift(2), small_rad, color);

      alpha = -dot(r, d)/dot(A*d, d);
      x0 = x;
      x = x + alpha*d;
      
      r=A*x - b;
      beta = dot(A*r, d)/dot(A*d, d);
      d0 = d;
      d = -r + beta*d;

      plot([x0(1), x(1)]+shift(1), [x0(2), x(2)]+shift(2), 'color', color, 'linewidth', lw)

   end

function x = grad_descent(A, b, x, tol, lw, color, small_rad)

   r=A*x - b;
   d=-r;

   while norm(r) > tol

      % a pretty ball for beauty, to cover imperfections when two segments are joined
      ball(x(1), x(2), small_rad, color);
      
      alpha = -dot(r, d)/dot(A*d, d);
      x0 = x;
      x = x + alpha*d;
      
      r=A*x - b;
      beta = 0; %beta = dot(A*r, d)/dot(A*d, d);
      d0 = d;
      d = -r + beta*d;

      plot([x0(1), x(1)], [x0(2), x(2)], 'color', color, 'linewidth', lw)

   end

   

function plot_contours (A, b, Box, lw, color);

   N=200;  % number of points (don't make it big, code will be slow)

   E = A\b; % the exact solution, around which we will draw the contours
   B = 0.12;
   [X, Y]=meshgrid(linspace(Box(1)-B, Box(2)+B, N), linspace(Box(3)-B, Box(4)+B, N));     % X and Y coordinates

% the quadratic form f= (1/2)*x'*A*X-b'*x;
   f = inline('0.5*A(1, 1)*X.*X + A(1, 2)*X.*Y+0.5*A(2, 2)*Y.*Y-b(1)*X-b(2)*Y', 'X', 'Y', 'A', 'b');
   Z = 0.5*A(1, 1)*X.*X + A(1, 2)*X.*Y+0.5*A(2, 2)*Y.*Y-b(1)*X-b(2)*Y;

   
   % prepare to draw the contours
   x0 = A\b; f0 = f(x0(1), x0(2), A, b);
   No = 25; % number of contours
   Levels = (linspace(f0, 1, No)-f0).^2+f0;

% Plot the contours with 'contour' in figure(2), and then with 'plot' in figure(1).
% This is to avoid a bug in plot2svg, it can't save output of 'contour'.
   figure(2); clf; hold on;
   for i=1:length(Levels)

      figure(2);
      [c, stuff] = contour(X, Y, Z, [Levels(i), Levels(i)]);

      [m, n]=size(c);
      if m > 1 & n > 0

	 % extract the contour from the contour matrix and plot in figure(1)
	 l=c(2, 1);
	 x=c(1,2:(l+1));  y=c(2,2:(l+1)); 
	 figure(1); plot(x, y, 'color', color, 'linewidth', lw/2);

      end
   end
   figure(1);

function ball(x, y, r, color)
   Theta=0:0.1:2*pi;
   X=r*cos(Theta)+x;
   Y=r*sin(Theta)+y;
   H=fill(X, Y, color);
   set(H, 'EdgeColor', 'none');

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Date/TimeThumbnailDimensionsUserComment
current22:49, 23 March 2024Thumbnail for version as of 22:49, 23 March 2024804 × 1,212 (2 KB)Д.ИльинOptimization
01:49, 20 June 2007Thumbnail for version as of 01:49, 20 June 2007606 × 900 (179 KB)Oleg Alexandrov{{Information |Description=Illustration of en:Conjugate gradient method |Source=self-made, with en:Matlab, and then tweaked in en:Inkscape |Date= ~~~~~ |Author= Oleg Alexandrov }} {{PD-self}} [[Category:Numerical a

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