conjugateg.m

共轭梯度法

function [b1,k]=conjugateG(x0,y0)
esp=1*10^(-6);
k=0;
b0=zeros(2,1);
b0(1,1)=x0;
b0(2,1)=y0;
b1=zeros(2,1);
g_aim=zeros(2,1);
g_aim=gradient(x0,y0);
while(norm(g_aim)>esp&k<10)
    if k==0
        g_aim=gradient(x0,y0);
        p0=-g_aim;
        %t=(norm(g_aim))^2/(p0'*p0);
        %b1=b0+t*p0;
        b1=erfenfa(x0,y0,p0);
    else 
        g_aim=gradient(b1(1,1),b1(2,1));
        g_aim0=gradient(b0(1,1),b0(2,1));
    betal=(norm(g_aim))^2/(norm(g_aim0))^2;
    p=-g_aim+betal*p0;
   % t=(norm(g_aim))^2/(p'*p);
%     b0=b1;
     b1=erfenfa(b1(1,1),b1(2,1),p);
     b0=b1;
    p0=p;
    end
    k=k+1;
end