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📄 tfqmr.m

📁 This folder contains all the codes based on Matlab Language for the book <《Iterative Methods for
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function [x, error, total_iters] = ...                     tfqmr(x0, b, atv, params)% TFQMR solver for linear systems%% C. T. Kelley, December 28, 1994%% This code comes with no guarantee or warranty of any kind.%% function [x, error, total_iters]%                    = tfqmr(x0, b, atv, params)%%% Input:        x0=initial iterate%               b=right hand side%               atv, a matrix-vector product routine%			atv must return Ax when x is input%			the format for atv is%                       function ax = atv(x)%               params = two dimensional vector to control iteration%                        params(1) = relative residual reduction factor%                        params(2) = max number of iterations%% Output:       x=solution%               error = vector of iteration residual norms%               total_iters = number of iterations%% %%% initialization%n=length(b); errtol = params(1)*norm(b); kmax = params(2); error=[]; x=x0;%if norm(x)~=0    r=b-feval(atv,x);else    r=b;enderror=[];%u=zeros(n,2); y=zeros(n,2); w = r; y(:,1) = r; k=0; d=zeros(n,1); v=feval(atv,y(:,1)); u(:,1)=v;theta=0; eta=0; tau=norm(r); error=[error,tau];rho=tau*tau;%% TFQMR iteration%while( k < kmax)    k=k+1;    sigma=r'*v; %    if sigma==0        error('TFQMR breakdown, sigma=0')    end%    alpha=rho/sigma;%% %    for j=1:2%%   Compute y2 and u2 only if you have to%        if j==2             y(:,2)=y(:,1)-alpha*v;            u(:,2)=feval(atv,y(:,2));        end        m=2*k-2+j;        w=w-alpha*u(:,j);        d=y(:,j)+(theta*theta*eta/alpha)*d;        theta=norm(w)/tau; c=1/sqrt(1+theta*theta);        tau=tau*theta*c; eta=c*c*alpha;        x=x+eta*d;%%   Try to terminate the iteration at each pass through the loop%        if tau*sqrt(m+1) <= errtol            error=[error, tau];            total_iters=k;            return        end    end%%%    if rho==0        error('TFQMR breakdown, rho=0')    end%    rhon=r'*w; beta=rhon/rho; rho=rhon;    y(:,1)=w + beta*y(:,2);    u(:,1)=feval(atv,y(:,1));    v=u(:,1)+beta*(u(:,2)+beta*v);    error=[error, tau];    total_iters=k;end

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