void expm(SiconosMatrix& A, SiconosMatrix& Exp, bool computeAndAdd)
{
// Implemented only for dense matrices.
// Note FP : Maybe it works for others but it has not been
// tested here --> to be done
// Do not work with sparse.
A.resetLU();
Exp.resetLU();
assert(Exp.num() == 1 || A.num() == 1);
if(computeAndAdd)
*Exp.dense() += expm_pad(*A.dense());
else
*Exp.dense() = expm_pad(*A.dense());
}
void SimpleMatrix::trans(const SiconosMatrix &m)
{
if (m.isBlock())
SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, not yet implemented for m being a BlockMatrix.");
if (&m == this)
trans();//SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, m = this, use this->trans().");
else
{
unsigned int numM = m.num();
switch (numM)
{
case 1:
if (_num != 1)
SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, try to transpose a dense matrix into another type.");
noalias(*mat.Dense) = ublas::trans(*m.dense());
break;
case 2:
if (_num != 1)
SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, try to transpose a triangular matrix into a non-dense one.");
noalias(*mat.Dense) = ublas::trans(*m.triang());
break;
case 3:
*this = m;
break;
case 4:
if (_num == 1)
noalias(*mat.Dense) = ublas::trans(*m.sparse());
else if (_num == 4)
noalias(*mat.Sparse) = ublas::trans(*m.sparse());
else
SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, try to transpose a sparse matrix into a forbidden type (not dense nor sparse).");
break;
case 5:
if (_num == 1)
noalias(*mat.Dense) = ublas::trans(*m.banded());
else if (_num == 5)
noalias(*mat.Banded) = ublas::trans(*m.banded());
else
SiconosMatrixException::selfThrow("SimpleMatrix::trans(m) failed, try to transpose a banded matrix into a forbidden type (not dense nor banded).");
break;
case 6:
*this = m;
break;
case 7:
*this = m;
}
// unsigned int tmp = _dimRow;
// _dimRow = _dimCol;
// _dimCol = tmp;
resetLU();
}
}
void SimpleMatrix::PLUForwardBackwardInPlace(SiconosMatrix &B)
{
if (B.isBlock())
SiconosMatrixException::selfThrow("SimpleMatrix PLUForwardBackwardInPlace(B) failed at solving Ax = B. Not yet implemented for a BlockMatrix B.");
int info = 0;
if (_num == 1)
{
if (!_isPLUFactorized) // call gesv => LU-factorize+solve
{
// solve system:
if (!_ipiv)
_ipiv.reset(new VInt(size(0)));
else
_ipiv->resize(size(0));
info = lapack::gesv(*mat.Dense, *_ipiv, *(B.dense()));
_isPLUFactorized = true;
/*
ublas::vector<double> S(std::max(size(0),size(1)));
ublas::matrix<double, ublas::column_major> U(size(0),size(1));
ublas::matrix<double, ublas::column_major> VT(size(0),size(1));
int ierr = lapack::gesdd(*mat.Dense, S, U, VT);
printf("info = %d, ierr = %d, emax = %f, emin = %f , cond = %f\n",info,ierr,S(0),S(2),S(0)/S(2));
*/
// B now contains solution:
}
else // call getrs: only solve using previous lu-factorization
if (B.num() == 1)
info = lapack::getrs(*mat.Dense, *_ipiv, *(B.dense()));
else
SiconosMatrixException::selfThrow(" SimpleMatrix::PLUInverseInPlace: only implemented for dense matrices in RHS.");
}
else
{
if (!_isPLUFactorized) // call first PLUFactorizationInPlace
{
PLUFactorizationInPlace();
}
// and then solve
if (B.num() == 1)
{
inplace_solve(*sparse(), *(B.dense()), ublas::lower_tag());
inplace_solve(ublas::trans(*sparse()), *(B.dense()), ublas::upper_tag());
}
else if (B.num() == 4)
{
inplace_solve(*sparse(), *(B.sparse()), ublas::lower_tag());
inplace_solve(ublas::trans(*sparse()), *(B.sparse()), ublas::upper_tag());
}
else
SiconosMatrixException::selfThrow(" SimpleMatrix::PLUInverseInPlace: only implemented for dense ans sparse matrices in RHS.");
info = 0 ;
}
// SiconosMatrixException::selfThrow(" SimpleMatrix::PLUInverseInPlace: only implemented for dense matrices.");
if (info != 0)
SiconosMatrixException::selfThrow("SimpleMatrix::PLUForwardBackwardInPlace failed.");
}
void SimpleMatrix::addBlock(unsigned int row_min, unsigned int col_min, const SiconosMatrix& m)
{
// add m to current matrix elements, starting from row row_min and column col_min, to the values of the matrix m.
// m may be a BlockMatrix.
if (_num == 6 || _num == 7)
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(pos,..., m) forbidden for zero or identity matrix.");
if (&m == this)
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(pos,..., m): m = this.");
if (row_min >= size(0))
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(row,col): row is out of range");
if (col_min >= size(1))
SiconosMatrixException::selfThrow("SimpleMatrix::addBloc(row,col)k: col is out of range");
unsigned int row_max, col_max;
row_max = m.size(0) + row_min;
col_max = m.size(1) + col_min;
if (row_max > size(0))
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(row,col,m): m.row + row is out of range.");
if (col_max > size(1))
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(row,col,m): m.col + col is out of range.");
unsigned int numM = m.num();
if (numM == 0) // if m is a block matrix ...
{
const BlockMatrix& mB = static_cast<const BlockMatrix&>(m);
BlocksMat::const_iterator1 it;
BlocksMat::const_iterator2 it2;
unsigned int posRow = row_min;
unsigned int posCol = col_min;
for (it = mB._mat->begin1(); it != mB._mat->end1(); ++it)
{
for (it2 = it.begin(); it2 != it.end(); ++it2)
{
addBlock(posRow, posCol, **it2);
posCol += (*it2)->size(1);
}
posRow += (*it)->size(0);
posCol = 0;
}
}
else if (numM == 6) // if m = 0
{
// nothing to do !
}
else // if m is a SimpleMatrix
{
if (_num == 1)
{
switch (numM)
{
case 1:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.dense());
break;
case 2:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.triang());
break;
case 3:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.sym());
break;
case 4:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.sparse());
break;
case 5:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.banded());
break;
case 7:
noalias(ublas::subrange(*mat.Dense, row_min, row_max, col_min, col_max)) += *(m.identity());
break;
default:
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(...,m): wrong matrix type for m.");
break;
}
}
else
SiconosMatrixException::selfThrow("SimpleMatrix::addBlock(...): implemeted only for dense matrices.");
resetLU();
}
}
