e692.m

matlab算法集 matlab算法集

%------------------------------------------------------------------------
% Example 6.9.2: Transportation Planning 
%------------------------------------------------------------------------

% Initialize

   clear
   clc
   n = 6;               % number of variables 
   r = 5;               % equality constraints 
   s = n;		         % inequality constraints 
   m = 100;	         	% maximum iterations  
   trials = 5;		      % number of runs   
   tol = 1.0e-5;        % error tolerance 
   x0 = [666,666,667,400,400,400]';  
   x = zeros (n,1);	 
   u = zeros (r,1);
   g = fopen ('e692.dat','w');
	
% Compute optimal solution for different penalty parameters 
   
   fprintf ('Example 6.9.2: Transportation Planning\n');
   for j = 1 : trials
      mu = 10^(j-2);
      fprintf ('\nFinding optimal x when mu = %g ...\n',mu)
      [x,ev,k] = penalty (x0,mu,tol,m,'funf692','funp692','funq692');
      u = funp692(x);
      fprintf (g,'\n%10.1f & %10.2f & %10.4f \\\\',mu,funf692(x),norm(u,inf));
      fprintf (g,'\n & & \\\\'); 
      show ('Iterations',k)
      show ('Function evaluations',ev)
      show ('x',x)
      show ('f(x)',funf692(x))
      show ('||p(x)||',norm(u,inf))
   end
   fclose(g);
%------------------------------------------------------------------------