Dynamic-Calibration/utils/SDPT3-4.0/Solver/sqlpmisc.m

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2019-12-18 11:25:45 +00:00
%%*****************************************************************
%% sqlpmisc:
%% unscale and produce infeasibility certificates if appropriate
%%*****************************************************************
%% SDPT3: version 4.0
%% Copyright (c) 1997 by
%% Kim-Chuan Toh, Michael J. Todd, Reha H. Tutuncu
%% Last Modified: 16 Sep 2004
%%*****************************************************************
function [X,y,Z,termcode,resid,reldist,msg] = sqlpmisc(blk,At,C,b,X,y,Z,permZ,param)
termcode = param.termcode;
iter = param.iter;
obj = param.obj;
relgap = param.relgap;
prim_infeas = param.prim_infeas;
dual_infeas = param.dual_infeas;
homRd = param.homRd;
homrp = param.homrp;
AX = param.AX;
ZpATynorm = param.ZpATynorm;
m0 = param.m0;
indeprows = param.indeprows;
normX0 = param.normX0;
normZ0 = param.normZ0;
inftol = param.inftol;
maxit = param.maxit;
scale_data = param.scale_data;
printlevel = param.printlevel;
%%
resid = []; reldist = []; msg = [];
if (scale_data)
normA = param.normA; normC = param.normC; normb = param.normb;
else
normA = 1; normC = 1; normb = 1;
end
Anorm = ops(At,'norm'); xnorm = ops(X,'norm'); ynorm = norm(y);
infeas = max(prim_infeas,dual_infeas);
%%
if (iter >= maxit)
termcode = -6;
msg = 'sqlp stop: maximum number of iterations reached';
if (printlevel); fprintf('\n %s',msg); end
end
if (termcode <= 0)
%%
%% To detect near-infeasibility when the algorithm provides
%% a "better" certificate of infeasibility than of optimality.
%%
err = max(infeas,relgap);
iflag = 0;
if (obj(2) > 0)
if (homRd < 0.1*sqrt(err*inftol))
iflag = 1;
msg = sprintf('prim_inf,dual_inf,relgap = %3.2e, %3.2e, %3.2e',...
prim_infeas,dual_infeas,relgap);
if (printlevel); fprintf('\n %s',msg); end
termcode = 1;
end
end
if (obj(1) < 0)
if (homrp < 0.1*sqrt(err*inftol))
iflag = 1;
msg = sprintf('prim_inf,dual_inf,relgap = %3.2e, %3.2e, %3.2e',...
prim_infeas,dual_infeas,relgap);
if (printlevel); fprintf('\n %s',msg); end
termcode = 2;
end
end
if (iflag == 0)
if (scale_data == 1)
X = ops(ops(X,'./',normA),'*',normb);
y = y*normC;
Z = ops(ops(Z,'.*',normA),'*',normC);
end
end
end
if (termcode == 1) & (iter > 3)
msg = 'sqlp stop: primal problem is suspected of being infeasible';
if (printlevel); fprintf('\n %s',msg); end
if (scale_data == 1)
X = ops(X,'./',normA); b = b*normb;
end
rby = 1/(b'*y); y = rby*y; Z = ops(Z,'*',rby);
resid = ZpATynorm * rby;
reldist = ZpATynorm/(Anorm*ynorm);
end
if (termcode == 2) & (iter > 3)
msg = 'sqlp stop: dual problem is suspected of being infeasible';
if (printlevel); fprintf('\n %s',msg); end
if (scale_data == 1)
C = ops(C,'.*',normC);
Z = ops(Z,'.*',normA);
end
tCX = blktrace(blk,C,X);
X = ops(X,'*',1/(-tCX));
resid = norm(AX)/(-tCX);
reldist = norm(AX)/(Anorm*xnorm);
end
if (termcode == 3)
maxblowup = max(ops(X,'norm')/normX0,ops(Z,'norm')/normZ0);
msg = sprintf('sqlp stop: primal or dual is diverging, %3.1e',maxblowup);
if (printlevel); fprintf('\n %s',msg); end
end
[X,Z] = unperm(blk,permZ,X,Z);
if ~isempty(indeprows)
ytmp = zeros(m0,1);
ytmp(indeprows) = y;
y = ytmp;
end
%%*****************************************************************************
%% unperm: undo the permutations applied in validate.
%%
%% [X,Z] = unperm(blk,permZ,X,Z);
%%
%% undoes the permutation introduced in validate.
%%*****************************************************************************
function [X,Z] = unperm(blk,permZ,X,Z)
%%
for p = 1:size(blk,1)
if (strcmp(blk{p,1},'s') & ~isempty(permZ{p}))
per = permZ{p};
X{p} = X{p}(per,per);
Z{p} = Z{p}(per,per);
end
end
%%*****************************************************************************