public override void init()
{
qqpsettingsuser = new qqpsolver.qqpsettings();
qqpsettingscurrent = new qqpsolver.qqpsettings();
qpbleicsettingsuser = new qpbleicsolver.qpbleicsettings();
qpbleicsettingscurrent = new qpbleicsolver.qpbleicsettings();
a = new cqmodels.convexquadraticmodel();
sparsea = new sparse.sparsematrix();
b = new double[0];
bndl = new double[0];
bndu = new double[0];
s = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
xorigin = new double[0];
startx = new double[0];
cleic = new double[0,0];
xs = new double[0];
tmp0 = new double[0];
qpbleicbuf = new qpbleicsolver.qpbleicbuffers();
qqpbuf = new qqpsolver.qqpbuffers();
qpcholeskybuf = new qpcholeskysolver.qpcholeskybuffers();
estimator = new normestimator.normestimatorstate();
}
public minqpstate()
{
a = new cqmodels.convexquadraticmodel();
b = new double[0];
bndl = new double[0];
bndu = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
xorigin = new double[0];
startx = new double[0];
cmatrix = new double[0,0];
cr = new double[0];
ct = new int[0];
cleic = new double[0,0];
xc = new double[0];
gc = new double[0];
xn = new double[0];
pg = new double[0];
activelin = new bool[0];
activeb = new bool[0];
activecm = new double[0,0];
activecr = new double[0];
workbndl = new double[0];
workbndu = new double[0];
workcleic = new double[0,0];
tmp0 = new double[0];
tmp1 = new double[0];
tmpfeas = new double[0];
tmpm0 = new double[0,0];
lstransform = new double[0,0];
lagrangesystem = new double[0,0];
lagrangesystemtmp = new double[0,0];
prevactiveb = new bool[0];
prevactivelin = new bool[0];
lsrightpart = new double[0];
lsrightparttmp = new double[0];
lagrangecoeffs = new double[0];
lstmp0 = new double[0];
lstmp1 = new double[0];
estimator = new normestimator.normestimatorstate();
}
public override void init()
{
a = new cqmodels.convexquadraticmodel();
b = new double[0];
bndl = new double[0];
bndu = new double[0];
s = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
xorigin = new double[0];
startx = new double[0];
cleic = new double[0,0];
sas = new sactivesets.sactiveset();
gc = new double[0];
xn = new double[0];
pg = new double[0];
workbndl = new double[0];
workbndu = new double[0];
workcleic = new double[0,0];
xs = new double[0];
tmp0 = new double[0];
tmp1 = new double[0];
tmpb = new bool[0];
rctmpg = new double[0];
estimator = new normestimator.normestimatorstate();
}
public override void init()
{
a = new cqmodels.convexquadraticmodel();
sparsea = new sparse.sparsematrix();
b = new double[0];
bndl = new double[0];
bndu = new double[0];
s = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
xorigin = new double[0];
startx = new double[0];
cleic = new double[0,0];
sas = new sactivesets.sactiveset();
gc = new double[0];
xn = new double[0];
pg = new double[0];
workbndl = new double[0];
workbndu = new double[0];
workcleic = new double[0,0];
xs = new double[0];
tmp0 = new double[0];
tmp1 = new double[0];
tmpb = new bool[0];
rctmpg = new double[0];
tmpi = new int[0];
estimator = new normestimator.normestimatorstate();
solver = new minbleic.minbleicstate();
solverrep = new minbleic.minbleicreport();
}
