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描述 An illustration of the gradient descent method. I graphed this with Matlab
日期 2004年11月19號 (original upload date)
來源 Transferred from en.wikipedia to Commons.
作者 Olegalexandrov at 英文 維基百科
 
This diagram was created with MATLAB.

Moved from en:Wikipedia, converted to png, and added the matlab source code. Oleg Alexandrov 03:33, 23 June 2007 (UTC)

協議

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)

 

% Illustration of gradient descent
function main()

% the ploting window
   figure(1);
   clf; hold on;
   set(gcf, 'color', 'white');
   set(gcf, 'InvertHardCopy', 'off');
   axis equal; axis off;

% the box 
   Lx1=-2; Lx2=2; Ly1=-2; Ly2=2;

% the function whose contours will be plotted
   N=60; h=1/N;
   XX=Lx1:h:Lx2;
   YY=Ly1:h:Ly2;
   [X, Y]=meshgrid(XX, YY);
   f=inline('-((y+1).^4/25+(x-1).^4/10+x.^2+y.^2-1)');
   Z=f(X, Y);

% the contours
   h=0.3; l0=-1; l1=20;
   l0=h*floor(l0/h);
   l1=h*floor(l1/h);
   v=[l0:1.5*h:0 0:h:l1 0.8 0.888];
   [c,h] = contour(X, Y, Z, v, 'b'); 

% graphing settings
   small=0.08;
   small_rad = 0.01;
   thickness=1; arrowsize=0.06; arrow_type=2;
   fontsize=13;
   red = [1, 0, 0];
   white = 0.99*[1, 1, 1];

% initial guess for gradient descent
   x=-0.6498; y=-1.0212;

   % run several iterations of gradient descent
   for i=0:4
      H=text(x-1.5*small, y+small/2, sprintf('x_%d', i));
      set(H, 'fontsize', fontsize, 'color', 0*[1 1 1]);

     % the derivatives in x and in y, the step size
      u=-2/5*(x-1)^3-2*x;
      v=-4/25*(y+1)^3-2*y;
      alpha=0.11;
      
      if i< 4
	 plot([x, x+alpha*u], [y, y+alpha*v]);
	 arrow([x, y], [x, y]+alpha*[u, v], thickness, arrowsize, pi/8, ...
	       arrow_type, [1, 0, 0])
	 x=x+alpha*u; y=y+alpha*v;
      end
      
   end
   
% some dummy text, to expand the saving window a bit
   text(-0.9721, -1.5101, '*', 'color', white);
   text(1.5235,   1.1824, '*', 'color', white);
   
% save to eps
   saveas(gcf, 'Gradient_descent.eps', 'psc2')

function arrow(start, stop, thickness, arrow_size, sharpness, arrow_type, color)

% Function arguments:
% start, stop:  start and end coordinates of arrow, vectors of size 2
% thickness:    thickness of arrow stick
% arrow_size:   the size of the two sides of the angle in this picture ->
% sharpness:    angle between the arrow stick and arrow side, in radians
% arrow_type:   1 for filled arrow, otherwise the arrow will be just two segments
% color:        arrow color, a vector of length three with values in [0, 1]

% convert to complex numbers
   i=sqrt(-1);
   start=start(1)+i*start(2); stop=stop(1)+i*stop(2);
   rotate_angle=exp(i*sharpness);

% points making up the arrow tip (besides the "stop" point)
   point1 = stop - (arrow_size*rotate_angle)*(stop-start)/abs(stop-start);
   point2 = stop - (arrow_size/rotate_angle)*(stop-start)/abs(stop-start);

   if arrow_type==1 % filled arrow

% plot the stick, but not till the end, looks bad
      t=0.5*arrow_size*cos(sharpness)/abs(stop-start); stop1=t*start+(1-t)*stop;
      plot(real([start, stop1]), imag([start, stop1]), 'LineWidth', thickness, 'Color', color);

% fill the arrow
      H=fill(real([stop, point1, point2]), imag([stop, point1, point2]), color);
      set(H, 'EdgeColor', 'none')

   else % two-segment arrow
      plot(real([start, stop]), imag([start, stop]),   'LineWidth', thickness, 'Color', color);
      plot(real([stop, point1]), imag([stop, point1]), 'LineWidth', thickness, 'Color', color);
      plot(real([stop, point2]), imag([stop, point2]), 'LineWidth', thickness, 'Color', color);
   end

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');

Original upload log

The original description page was here. All following user names refer to en.wikipedia.
  • 2004-11-19 02:41 Olegalexandrov 471×492×8 (27067 bytes) An illustration of the gradient descent method. I graphed this with Matlab {{PD}}

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19 11 2004

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