File:Newton optimization vs grad descent.svg

Original file (SVG file, nominally 813 × 936 pixels, file size: 48 KB)

Description
English: A comparison of gradient descent (green) and Newton's method (red) for minimizing a function (with small step sizes). Newton's method uses curvature information to take a more direct route.
Polski: Porównanie metody najszybszego spadku(linia zielona) z metodą Newtona (linia czerwona). Na rysunku widać linie poszukiwań minimum dla zadanej funkcji celu. Metoda Newtona używa informacji o krzywiźnie w celu zoptymalizowania ścieżki poszukiwań.
Date (UTC)
Source self-made with en:Matlab. 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

% Comparison of gradient descent and Newton's method for optimization
function main()

% the ploting window
   figure(1); clf; hold on; axis equal; axis off;

% 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];

% graphing settings
   lw=3; arrowsize=0.06; arrow_type=2;
   fs=13;

% the function whose contours will be plotted, and its partials
   C = [0.2, 4, 0.4, 1, 1.5]; % Tweak f by tweaking C
   f=inline('(C(1)*(x-0.4).^4+C(2)*x.^2+C(3)*(y+1).^4+C(4)*y.^2+C(5)*x.*y-1)', 'x', 'y', 'C');
   fx=inline('(4*C(1)*(x-0.4).^3+2*C(2)*x+C(5)*y)', 'x', 'y', 'C');
   fy=inline('(4*C(3)*(y+1).^3+2*C(4)*y+C(5)*x)', 'x', 'y', 'C');

   fxx=inline('(12*C(1)*(x-0.4).^2+2*C(2))', 'x', 'y', 'C');
   fxy=inline('C(5)', 'x', 'y', 'C');
   fyy=inline('(12*C(3)*(y+1).^2+2*C(4))', 'x', 'y', 'C');

   plot_contours(f, C, blue, white, lw);

% step size
   alpha=0.025;
   
% initial guess
   V0=[-0.2182,  -1.2585];
   x=V0(1); y = V0(2);
   z=x; w=y;

   % run several iterations of gradient descent and Newton's method
   X=[x]; Y=[y]; Z = [z]; W=[w];
   for i=0:200

      % grad descent
      u=fx(x, y, C);
      v=fy(x, y, C);

      x=x-alpha*u; y=y-alpha*v;
	  X = [X, x]; Y = [Y, y];
	  
      % newton's method
      u=fx(z, w, C);
      v=fy(z, w, C);
      mxx=fxx(z, w, C);
      mxy=fxy(z, w, C);
      myy=fyy(z, w, C);
      M = [mxx, mxy; mxy, myy];

      V = M\[u; v];
      u = V(1);
      v = V(2);

      z=z-alpha*u; w=w-alpha*v;
	  Z = [Z, z]; W = [W, w];

   end

   plot(X, Y, 'color', green, 'linewidth', lw);
   plot(Z, W, 'color', red,   'linewidth', lw);


% plot text
   small = 0.03;
   m = length(Z); V = [Z(m), W(m)];
   text(V0(1)-2*small, V0(2)-2*small, 'x_0', 'fontsize', fs);
   text(V(1)+small, V(2)+small, 'x', 'fontsize', fs);

% some small balls, to hide some imperfections
   small_rad= 0.015;
   ball(V0(1),V0(2), small_rad, blue);
   ball(V(1),V(2),   small_rad, blue);
   
% save to eps ans svg
   saveas(gcf, 'Newton_optimization_vs_grad_descent.eps', 'psc2')
%   plot2svg('Newton_optimization_vs_grad_descent.svg')

function plot_contours(f, C, color, color2, lw)
   
   % Calculate f on a grid
   Lx1=-2; Lx2=2; Ly1=-2; Ly2=2;
   N=60; h=1/N;
   XX=Lx1:h:Lx2;
   YY=Ly1:h:Ly2;
   [X, Y]=meshgrid(XX, YY);
   Z=f(X, Y, C);

% the contours
   h=0.3; l0=-1; l1=0.7;
   l0=h*floor(l0/h);
   l1=h*floor(l1/h);
   Levels=-[l0:1.5*h:0 0:h:l1 0.78];


% 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; axis equal; axis off;
   xmin = 1000; ymin = xmin; xmax = -xmin; ymax = -ymin;
   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', 0.66*lw);

		 xmin = min(xmin, min(x)); xmax = max(xmax, max(x));
		 ymin = min(ymin, min(y)); ymax = max(ymax, max(y));
      end
   end
   figure(1);

% some dummy text, to expand the saving window a bit
   small = 0.04;
   plot(xmin-small, ymin-small, '*', 'color', color2);
   plot(xmax+small, ymax+small, '*', 'color', color2);

   
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');

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Date/TimeThumbnailDimensionsUserComment
current04:58, 23 June 2007Thumbnail for version as of 04:58, 23 June 2007813 × 936 (48 KB)Oleg Alexandrov{{Information |Description= |Source=self-made with en:Matlab. Tweaked in en:Inkscape |Date= ~~~~~ |Author= Oleg Alexandrov }} {{PD-self}}

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