public override void init()
{
sas = new sactivesets.sactiveset();
pg = new double[0];
gc = new double[0];
xs = new double[0];
xn = new double[0];
workbndl = new double[0];
workbndu = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
workcleic = new double[0,0];
rctmpg = new double[0];
tmp0 = new double[0];
tmp1 = new double[0];
tmpb = new bool[0];
}
public override void init()
{
densea = new double[0,0];
sparsea = new sparse.sparsematrix();
b = new double[0];
bndl = new double[0];
bndu = new double[0];
havebndl = new bool[0];
havebndu = new bool[0];
cleic = new double[0,0];
xs = new double[0];
gc = new double[0];
xp = new double[0];
dc = new double[0];
dp = new double[0];
cgc = new double[0];
cgp = new double[0];
sas = new sactivesets.sactiveset();
activated = new bool[0];
densez = new double[0,0];
sparsecca = new sparse.sparsematrix();
yidx = new int[0];
regdiag = new double[0];
regx0 = new double[0];
tmpcn = new double[0];
tmpcni = new int[0];
tmpcnb = new bool[0];
tmp0 = new double[0];
stpbuf = new double[0];
sbuf = new sparse.sparsebuffers();
}
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()
{
sas = new sactivesets.sactiveset();
s = new double[0];
diagh = new double[0];
x = new double[0];
g = new double[0];
rstate = new rcommstate();
ugc = new double[0];
cgc = new double[0];
xn = new double[0];
ugn = new double[0];
cgn = new double[0];
xp = new double[0];
d = new double[0];
cleic = new double[0,0];
hasbndl = new bool[0];
hasbndu = new bool[0];
bndl = new double[0];
bndu = new double[0];
xstart = new double[0];
solver = new snnls.snnlssolver();
tmpprec = new double[0];
tmp0 = new double[0];
work = new double[0];
lstate = new linmin.linminstate();
bufyk = new double[0,0];
bufsk = new double[0,0];
bufrho = new double[0];
buftheta = new double[0];
}
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();
}
