conjugate_grad_2d.rar_grad matl_grad matl_约束 条件 线性 规划_约束条件代码

%%共轭梯度法 %************************************************************************% %input this: %conjugate_grad_2d([2,2],0.05) %************************************************************************% function f=conjugate_grad_2d(x,t) x0=x; t0=t; syms xi yi a [f fx fy]=fun_x(xi,yi,x0); % fi=[fx fy]; count=0; while double(sqrt(fx^2+fy^2))>t0 s=-fi; if count<=0 s=-fi; else s=s1; end x=x+a*s; f=subs(f,{xi,yi},x); f1=diff(f); f1=solve(f1); if f1~=0 ai=double(f1); else break x,f=subs(f,{xi,yi},x),count end x=subs(x,a,ai); [f fxi fyi]=fun_x(xi,yi,x); % fii=[fxi fyi]; d=(fxi^2+fyi^2)/(fx^2+fy^2); s1=-fii+d*s; count=count+1; fx=fxi; fy=fyi; end x,f=subs(f,{xi,yi},x),count %*************************************************************************% function [ff f_x f_y]=fun_x(x_i,y_i,xx) ff=x_i^2+2*y_i^2-4*x_i-2*x_i*y_i; f_x=diff(ff,x_i); %对x求偏导 f_y=diff(ff,y_i); %对y求偏导 f_x=subs(f_x,{x_i,y_i},xx); f_y=subs(f_y,{x_i,y_i},xx); %*************************************************************************%