📄 pcg.m
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%PCG Preconditioned conjugate gradient method
%
% [X,RESIDS,ITS]=PCG(A,B,X0,RTOL,PRTOL,MAX_IT,MAX_TIME,MAX_MFLOP)
% solves the system AX = B using the preconditioned conjugate gradient
% method with the given tolerances and limits. A should be symmetric
% positive definite.
%
% James Bordner and Faisal Saied
% Department of Computer Science
% University of Illinois at Urbana-Champaign
% 10 April 1995
% Modified for Matlab Version 6 Compatability
% Ryan McKenzie
% University of Kentucky Center for Computational Sciences
% April 2004
%
% For some reason, locally generated variables cannot be seen outside the scope of a
% particular function in version 6 unless they have a global reference. This seems to
% only occur when the newly generated variable is passed as a parameter. I have taken
% locally generated variables throughout MGLab and "bridged" them to their destination
% routines using global references. It's an ugly fix, so maybe someone should come up
% with a more centralized solution.
%
% Removed stopping criteria and other solver information from the parameter list since
% they are all stored in global constants anyway.
function [x,resids,its] = pcg(A,b,x0)
include_globals
include_bridge_globals
% gobally referencing variables from the solve routine "bridge"
b = b_in_sol_method;
A = A_in_sol_method;
x0 = x_in_sol_method;
x = x0;
r = b - A*x;
z = precondition(A,r);
prn = norm(z);
iter = 0;
results=update_results([],'PCG',iter,prn);
bn = 1;
rn = 1;
pbn = precondition(A,b);
% z could be named pr but we use the more common notation.
while (~converged(bn,pbn,rn,prn,iter,rtol,prtol,max_it,max_time))
rho = r' * z;
if iter == 0
p = z;
else
beta = rho / rho_old;
p = z + beta * p;
end
rho_old = rho;
Ap = A*p;
mu = p' * Ap;
alpha = rho / mu;
x = x + alpha * p;
r = r - alpha * Ap;
z = precondition (A,r);
prn = norm(z);
iter = iter+1;
results=update_results(results,'PCG',iter,prn);
end
its=results(:,1);
resids=results(:,4);
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