def solve(self):
bx = self.lp.bx.get_cvx()
bc = self.lp.bc.get_cvx()
X = coneqp(P=self.Q, q=self.lp.c)
X.aux.pushLinConstraint(bx['mat'], bx['vec'])
X.aux.pushLinConstraint(bc['mat'], bc['vec'])
return X.solve()
def solve(self):
c = numpy.concatenate([self.qp.lp.c, self.penalty.v])
Q = numpy.zeros((len(c), len(c)))
Q[0:len(self.qp.lp.c), 0:len(self.qp.lp.c)] = self.qp.Q
X = coneqp(P=Q, q=c)
bx = self.qp.lp.bx.get_cvx()
bc = self.qp.lp.bc.get_cvx()
p = self.penalty.getCVX()
X.aux.pushLinConstraint(numpy.hstack([bx['mat'], numpy.zeros(bx['mat'].shape)]), bx['vec'])
X.aux.pushLinConstraint(numpy.hstack([bc['mat'], numpy.zeros(bc['mat'].shape)]), bc['vec'])
X.aux.pushLinConstraint(p['mat'], p['vec'])
x = X.solve()
return x[0][0:len(self.qp.lp.c)], x[1]
