ESymSolverStatus Ma27TSolverInterface::Backsolve(Index nrhs,
double *rhs_vals)
{
DBG_START_METH("Ma27TSolverInterface::Backsolve",dbg_verbosity);
IpData().TimingStats().LinearSystemBackSolve().Start();
ipfint N=dim_;
double* W = new double[maxfrt_];
ipfint* IW1 = new ipfint[nsteps_];
// For each right hand side, call MA27CD
for(Index irhs=0; irhs<nrhs; irhs++) {
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<dim_; i++) {
DBG_PRINT((2, "rhs[%5d] = %23.15e\n", i, rhs_vals[irhs*dim_+i]));
}
}
F77_FUNC(ma27cd,MA27CD)(&N, a_, &la_, iw_, &liw_, W, &maxfrt_,
&rhs_vals[irhs*dim_], IW1, &nsteps_,
icntl_, cntl_);
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<dim_; i++) {
DBG_PRINT((2, "sol[%5d] = %23.15e\n", i, rhs_vals[irhs*dim_+i]));
}
}
}
delete [] W;
delete [] IW1;
IpData().TimingStats().LinearSystemBackSolve().End();
return SYMSOLVER_SUCCESS;
}
ESymSolverStatus Ma57TSolverInterface::Backsolve(
Index nrhs,
double *rhs_vals)
{
DBG_START_METH("Ma27TSolverInterface::Backsolve",dbg_verbosity);
if (HaveIpData()) {
IpData().TimingStats().LinearSystemBackSolve().Start();
}
ipfint n = dim_;
ipfint job = 1;
ipfint nrhs_X = nrhs;
ipfint lrhs = n;
ipfint lwork;
double* work;
lwork = n * nrhs;
work = new double[lwork];
// For each right hand side, call MA57CD
// XXX MH: MA57 can do several RHSs; just do one solve...
// AW: Ok is the following correct?
if (DBG_VERBOSITY()>=2) {
for (Index irhs=0; irhs<nrhs; irhs++) {
for (Index i=0; i<dim_; i++) {
DBG_PRINT((2, "rhs[%2d,%5d] = %23.15e\n", irhs, i, rhs_vals[irhs*dim_+i]));
}
}
}
F77_FUNC (ma57cd, MA57CD)
(&job, &n, wd_fact_, &wd_lfact_, wd_ifact_, &wd_lifact_,
&nrhs_X, rhs_vals, &lrhs,
work, &lwork, wd_iwork_,
wd_icntl_, wd_info_);
if (wd_info_[0] != 0)
Jnlst().Printf(J_ERROR, J_LINEAR_ALGEBRA,
"Error in MA57CD: %d.\n", wd_info_[0]);
if (DBG_VERBOSITY()>=2) {
for (Index irhs=0; irhs<nrhs; irhs++) {
for (Index i=0; i<dim_; i++) {
DBG_PRINT((2, "sol[%2d,%5d] = %23.15e\n", irhs, i, rhs_vals[irhs*dim_+i]));
}
}
}
delete [] work;
if (HaveIpData()) {
IpData().TimingStats().LinearSystemBackSolve().End();
}
return SYMSOLVER_SUCCESS;
}
void TripletToCSRConverter::ConvertValues(Index nonzeros_triplet,
const Number* a_triplet,
Index nonzeros_compressed,
Number* a_compressed)
{
DBG_START_METH("TSymLinearSolver::ConvertValues",
dbg_verbosity);
DBG_ASSERT(initialized_);
DBG_ASSERT(nonzeros_triplet_==nonzeros_triplet);
DBG_ASSERT(nonzeros_compressed_==nonzeros_compressed);
for (Index i=0; i<nonzeros_compressed_; i++) {
a_compressed[i] = a_triplet[ipos_first_[i]];
}
for (Index i=0; i<num_doubles_; i++) {
a_compressed[ipos_double_compressed_[i]] +=
a_triplet[ipos_double_triplet_[i]];
}
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<nonzeros_triplet; i++) {
DBG_PRINT((2, "atriplet[%5d] = %24.16e\n", i, a_triplet[i]));
}
for (Index i=0; i<nonzeros_compressed; i++) {
DBG_PRINT((2, "acompre[%5d] = %24.16e\n", i, a_compressed[i]));
}
}
}
void TSymLinearSolver::GiveMatrixToSolver(bool new_matrix,
const SymMatrix& sym_A)
{
DBG_START_METH("TSymLinearSolver::GiveMatrixToSolver",dbg_verbosity);
DBG_PRINT((1,"new_matrix = %d\n",new_matrix));
double* pa = solver_interface_->GetValuesArrayPtr();
double* atriplet;
if (matrix_format_!=SparseSymLinearSolverInterface::Triplet_Format) {
atriplet = new double[nonzeros_triplet_];
}
else {
atriplet = pa;
}
//DBG_PRINT_MATRIX(3, "Aunscaled", sym_A);
TripletHelper::FillValues(nonzeros_triplet_, sym_A, atriplet);
if (DBG_VERBOSITY()>=3) {
for (Index i=0; i<nonzeros_triplet_; i++) {
DBG_PRINT((3, "KKTunscaled(%6d,%6d) = %24.16e\n", airn_[i], ajcn_[i], atriplet[i]));
}
}
if (use_scaling_) {
IpData().TimingStats().LinearSystemScaling().Start();
DBG_ASSERT(scaling_factors_);
if (new_matrix || just_switched_on_scaling_) {
// only compute scaling factors if the matrix has not been
// changed since the last call to this method
bool retval =
scaling_method_->ComputeSymTScalingFactors(dim_, nonzeros_triplet_,
airn_, ajcn_,
atriplet, scaling_factors_);
if (!retval) {
Jnlst().Printf(J_ERROR, J_LINEAR_ALGEBRA,
"Error during computation of scaling factors.\n");
THROW_EXCEPTION(ERROR_IN_LINEAR_SCALING_METHOD, "scaling_method_->ComputeSymTScalingFactors returned false.")
}
// complain if not in debug mode
if (Jnlst().ProduceOutput(J_MOREVECTOR, J_LINEAR_ALGEBRA)) {
for (Index i=0; i<dim_; i++) {
Jnlst().Printf(J_MOREVECTOR, J_LINEAR_ALGEBRA,
"scaling factor[%6d] = %22.17e\n",
i, scaling_factors_[i]);
}
}
just_switched_on_scaling_ = false;
}
void CachedResults<T>::DebugPrintCachedResults() const
{
#ifdef IP_DEBUG_CACHE
DBG_START_METH("CachedResults<T>::DebugPrintCachedResults", dbg_verbosity);
if (DBG_VERBOSITY()>=2 ) {
if (!cached_results_) {
DBG_PRINT((2,"Currentlt no cached results:\n"));
}
else {
typename std::list< DependentResult<T>* >::const_iterator iter;
DBG_PRINT((2,"Current set of cached results:\n"));
for (iter = cached_results_->begin(); iter != cached_results_->end(); iter++) {
DBG_PRINT((2," DependentResult:0x%x\n", (*iter)));
}
}
}
#endif
}
/* inline methods */
inline
Observer::~Observer()
{
#ifdef IP_DEBUG_OBSERVER
DBG_START_METH("Observer::~Observer", dbg_verbosity);
if (DBG_VERBOSITY()>=1) {
for (Index i=0; i<(Index)subjects_.size(); i++) {
DBG_PRINT((1,"subjects_[%d] = 0x%x\n", i, subjects_[i]));
}
}
#endif
// Detach all subjects
for (Int i=(Int)(subjects_.size()-1); i>=0; i--) {
#ifdef IP_DEBUG_OBSERVER
DBG_PRINT((1,"About to detach subjects_[%d] = 0x%x\n", i, subjects_[i]));
#endif
RequestDetach(NT_All, subjects_[i]);
}
}
bool Mc19TSymScalingMethod::ComputeSymTScalingFactors(Index n,
Index nnz,
const ipfint* airn,
const ipfint* ajcn,
const double* a,
double* scaling_factors)
{
DBG_START_METH("Mc19TSymScalingMethod::ComputeSymTScalingFactors",
dbg_verbosity);
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<nnz; i++) {
DBG_PRINT((2, "%5d A[%5d,%5d] = %23.15e\n", i, airn[i], ajcn[i], a[i]));
}
}
// First copy the symmetric matrix into an unsymmetric (MA28)
// format matrix
ipfint* AIRN2 = new ipfint[2*nnz];
ipfint* AJCN2 = new ipfint[2*nnz];
double* A2 = new double[2*nnz];
ipfint nnz2=0;
for (Index i=0; i<nnz; i++) {
if (airn[i]==ajcn[i]) {
AIRN2[nnz2] = airn[i];
AJCN2[nnz2] = ajcn[i];
/*
// ToDo decide if there should be a cut-off for small values in A
// probably based on maximal element in A
// DELETEME
if (fabs(a[i])<1e-10) {
A2[nnz2] = 0.;
}
else {
A2[nnz2] = a[i];
}
*/
A2[nnz2] = a[i];
nnz2++;
}
else {
AIRN2[nnz2] = airn[i];
AJCN2[nnz2] = ajcn[i];
/*
// DELETEME
if (fabs(a[i])<1e-10) {
A2[nnz2] = 0.;
}
else {
A2[nnz2] = a[i];
}
*/
A2[nnz2] = a[i];
nnz2++;
AIRN2[nnz2] = ajcn[i];
AJCN2[nnz2] = airn[i];
/*
// DELETEME
if (fabs(a[i])<1e-10) {
A2[nnz2] = 0.;
}
else {
A2[nnz2] = a[i];
}
*/
A2[nnz2] = a[i];
nnz2++;
}
}
if (DBG_VERBOSITY()>=3) {
for (Index i=0; i<nnz2; i++) {
DBG_PRINT((3, "A2[%5d] = %23.15e\n", i, A2[i]));
}
}
// Call MC19 to get the scaling factors (for the matrix in the
// general format)
float* R = new float[n];
float* C = new float[n];
float* W = new float[5*n];
F77_FUNC(mc19ad,MC19AD)(&n, &nnz2, A2, AIRN2, AJCN2, R, C, W);
delete[] W;
if (DBG_VERBOSITY()>=3) {
for (Index i=0; i<n; i++) {
DBG_PRINT((3, "R[%5d] = %23.15e C[%5d] = %23.15e\n",
i, R[i], i, C[i]));
}
}
// Get the symmetric scaling factors as mean of the general ones
// If some of the entries in A2 are too large, the scaling factors
// are NaN. Here, we check for this and return no scaling factors
// if that is the case
Number sum=0.;
for (Index i=0; i<n; i++) {
scaling_factors[i] = exp((double)((R[i]+C[i])/2.));
sum += scaling_factors[i];
}
if (!IsFiniteNumber(sum)) {
Jnlst().Printf(J_WARNING, J_LINEAR_ALGEBRA,
"Scaling factors are invalid - setting them all to 1.\n");
for (Index i=0; i<n; i++) {
scaling_factors[i] = 1.;
}
}
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<n; i++) {
DBG_PRINT((2, "scaling_factors[%5d] = %23.15e\n",
i, scaling_factors[i]));
}
}
// Clean up
delete[] C;
delete[] R;
delete[] A2;
delete[] AIRN2;
delete[] AJCN2;
return true;
}
Index TripletToCSRConverter::InitializeConverter(Index dim, Index nonzeros,
const Index* airn,
const Index* ajcn)
{
DBG_START_METH("TSymLinearSolver::InitializeStructure",
dbg_verbosity);
DBG_ASSERT(dim>0);
DBG_ASSERT(nonzeros>0);
delete[] ia_;
delete[] ja_;
delete[] ipos_first_;
delete[] ipos_double_triplet_;
delete[] ipos_double_compressed_;
dim_ = dim;
nonzeros_triplet_ = nonzeros;
// Create a list with all triplet entries
std::list<TripletEntry> entry_list(nonzeros);
std::list<TripletEntry>::iterator list_iterator = entry_list.begin();
for (Index i=0; i<nonzeros; i++) {
list_iterator->Set(airn[i], ajcn[i], i);
list_iterator++;
}
DBG_ASSERT(list_iterator == entry_list.end());
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<nonzeros; i++) {
DBG_PRINT((2, "airn[%5d] = %5d acjn[%5d] = %5d\n", i, airn[i], i, ajcn[i]));
}
}
// sort the list
entry_list.sort();
// Now got through the list and compute ipos_ arrays and the
// number of elements in the compressed format
Index* ja_tmp = new Index[nonzeros]; // overestimate memory requirement
Index* rc_tmp = NULL;
if (hf_ == Full_Format) {
rc_tmp = new Index[dim_+1];
}
ia_ = new Index[dim_+1];
Index* ipos_first_tmp = new Index[nonzeros]; // overestimate memory requirement
Index* ipos_double_triplet_tmp = new Index[nonzeros]; // overestimate memory requirement
Index* ipos_double_compressed_tmp = new Index[nonzeros]; // overestimate memory requirement
Index nonzeros_compressed_full = 0;
nonzeros_compressed_ = 0;
Index cur_row = 1;
if (hf_ == Full_Format) {
// Zero row counts
for (Index i=0; i<dim_+1; i++) {
rc_tmp[i] = 0;
}
}
// Take care of possible emply rows
list_iterator = entry_list.begin();
while (cur_row < list_iterator->IRow()) {
ia_[cur_row-1] = 0;
cur_row++;
}
ia_[cur_row-1] = 0;
ja_tmp[0] = list_iterator->JCol();
ipos_first_tmp[0] = list_iterator->PosTriplet();
if (hf_ == Full_Format) {
// Count in both lower and upper triangles. Count diagonal only once.
nonzeros_compressed_full++;
rc_tmp[cur_row-1]++;
if (cur_row!=list_iterator->JCol()) {
nonzeros_compressed_full++;
rc_tmp[list_iterator->JCol()-1]++;
}
}
list_iterator++;
Index idouble = 0;
Index idouble_full = 0;
while (list_iterator != entry_list.end()) {
Index irow = list_iterator->IRow();
Index jcol = list_iterator->JCol();
if (cur_row == irow && ja_tmp[nonzeros_compressed_] == jcol) {
// This element appears repeatedly, add to the double list
ipos_double_triplet_tmp[idouble] = list_iterator->PosTriplet();
ipos_double_compressed_tmp[idouble] = nonzeros_compressed_;
idouble++;
idouble_full++;
if (hf_==Full_Format && irow!=jcol) {
idouble_full++;
}
}
else {
// This is a new element
if (hf_==Full_Format) {
// Count in both lower and upper triangles. Count diagonal only once.
nonzeros_compressed_full++;
rc_tmp[jcol-1]++;
if (irow!=jcol) {
nonzeros_compressed_full++;
rc_tmp[irow-1]++;
}
}
nonzeros_compressed_++;
ja_tmp[nonzeros_compressed_] = jcol;
ipos_first_tmp[nonzeros_compressed_] = list_iterator->PosTriplet();
if (cur_row != irow) {
// this is in a new row
ia_[cur_row] = nonzeros_compressed_;
cur_row++;
}
}
list_iterator++;
}
nonzeros_compressed_++;
for (Index i=cur_row; i<=dim_; i++) {
ia_[i] = nonzeros_compressed_;
}
DBG_ASSERT(idouble == nonzeros_triplet_-nonzeros_compressed_);
// Now copy the ja_tmp array to the (shorter) final one and make
// sure that the correct offset is used
if (hf_==Triangular_Format) {
ja_ = new Index[nonzeros_compressed_];
if (offset_==0) {
for (Index i=0; i<nonzeros_compressed_; i++) {
ja_[i] = ja_tmp[i] - 1;
}
}
else {
for (Index i=0; i<nonzeros_compressed_; i++) {
ja_[i] = ja_tmp[i];
}
for (Index i=0; i<=dim_; i++) {
ia_[i] = ia_[i] + 1;
}
}
delete[] ja_tmp;
// Reallocate memory for the "first" array
ipos_first_ = new Index[nonzeros_compressed_];
for (Index i=0; i<nonzeros_compressed_; i++) {
ipos_first_[i] = ipos_first_tmp[i];
}
delete[] ipos_first_tmp;
// Reallocate memory for the "double" arrays
ipos_double_triplet_ = new Index[idouble];
ipos_double_compressed_ = new Index[idouble];
for (Index i=0; i<idouble; i++) {
ipos_double_triplet_[i] = ipos_double_triplet_tmp[i];
ipos_double_compressed_[i] = ipos_double_compressed_tmp[i];
}
delete[] ipos_double_triplet_tmp;
delete[] ipos_double_compressed_tmp;
num_doubles_ = nonzeros_triplet_ - nonzeros_compressed_;
}
else { // hf_==Full_Format
// Setup ia_tmp to contain insert position for column i as ia_tmp[i+1]
Index *ia_tmp = new Index[dim_+1];
ia_tmp[0] = 0;
ia_tmp[1] = 0;
for (Index i=1; i<dim_; i++) {
ia_tmp[i+1] = ia_tmp[i] + rc_tmp[i-1];
}
delete[] rc_tmp;
// Loop over elements of matrix, copying them and duplicating as required
ja_ = new Index[nonzeros_compressed_full];
ipos_first_ = new Index[nonzeros_compressed_full];
ipos_double_triplet_ = new Index[idouble_full];
ipos_double_compressed_ = new Index[idouble_full];
Index jd1=0; // Entry into ipos_double_compressed_tmp
Index jd2=0; // Entry into ipos_double_compressed_
for (Index i=0; i<dim_; i++) {
for (Index j=ia_[i]; j<ia_[i+1]; j++) {
Index jrow = ja_tmp[j]-1;
ja_[ia_tmp[i+1]] = jrow + offset_;
ipos_first_[ia_tmp[i+1]] = ipos_first_tmp[j];
while (jd1<idouble && j==ipos_double_compressed_tmp[jd1]) {
ipos_double_triplet_[jd2] = ipos_double_triplet_tmp[jd1];
ipos_double_compressed_[jd2] = ia_tmp[i+1];
jd2++;
if (jrow!=i) {
ipos_double_triplet_[jd2] = ipos_double_triplet_tmp[jd1];
ipos_double_compressed_[jd2] = ia_tmp[jrow+1];
}
jd1++;
}
ia_tmp[i+1]++;
if (jrow!=i) {
ja_[ia_tmp[jrow+1]] = i + offset_;
ipos_first_[ia_tmp[jrow+1]] = ipos_first_tmp[j];
ia_tmp[jrow+1]++;
}
}
}
delete[] ja_tmp;
delete[] ipos_first_tmp;
delete[] ipos_double_triplet_tmp;
delete[] ipos_double_compressed_tmp;
// Copy ia_tmp to ia_ with offset_ adjustment
for (Index i=0; i<dim_+1; i++) {
ia_[i] = ia_tmp[i] + offset_;
}
delete[] ia_tmp;
// Set nonzeros_compressed_ to correct size
nonzeros_compressed_ = nonzeros_compressed_full;
num_doubles_ = idouble_full;
}
initialized_ = true;
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<=dim_; i++) {
DBG_PRINT((2, "ia[%5d] = %5d\n", i, ia_[i]));
}
for (Index i=0; i<nonzeros_compressed_; i++) {
DBG_PRINT((2, "ja[%5d] = %5d ipos_first[%5d] = %5d\n", i, ja_[i], i, ipos_first_[i]));
}
for (Index i=0; i<nonzeros_triplet_-nonzeros_compressed_; i++) {
DBG_PRINT((2, "ipos_double_triplet[%5d] = %5d ipos_double_compressed[%5d] = %5d\n", i, ipos_double_triplet_[i], i, ipos_double_compressed_[i]));
}
}
return nonzeros_compressed_;
}
Index TripletToCSRConverter::InitializeConverter(Index dim, Index nonzeros,
const Index* airn,
const Index* ajcn)
{
DBG_START_METH("TSymLinearSolver::InitializeStructure",
dbg_verbosity);
DBG_ASSERT(dim>0);
DBG_ASSERT(nonzeros>0);
delete[] ia_;
delete[] ja_;
delete[] ipos_first_;
delete[] ipos_double_triplet_;
delete[] ipos_double_compressed_;
dim_ = dim;
nonzeros_triplet_ = nonzeros;
// Create a list with all triplet entries
std::list<TripletEntry> entry_list(nonzeros);
std::list<TripletEntry>::iterator list_iterator = entry_list.begin();
for (Index i=0; i<nonzeros; i++) {
list_iterator->Set(airn[i], ajcn[i], i);
++list_iterator;
}
DBG_ASSERT(list_iterator == entry_list.end());
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<nonzeros; i++) {
DBG_PRINT((2, "airn[%5d] = %5d acjn[%5d] = %5d\n", i, airn[i], i, ajcn[i]));
}
}
// sort the list
entry_list.sort();
// Now got through the list and compute ipos_ arrays and the
// number of elements in the compressed format
Index* ja_tmp = new Index[nonzeros]; // overestimate memory requirement
ia_ = new Index[dim_+1];
Index* ipos_first_tmp = new Index[nonzeros]; // overestimate memory requirement
Index* ipos_double_triplet_tmp = new Index[nonzeros]; // overestimate memory requirement
Index* ipos_double_compressed_tmp = new Index[nonzeros]; // overestimate memory requirement
nonzeros_compressed_ = 0;
Index cur_row = 1;
// The first element must be the first diagonal element
list_iterator = entry_list.begin();
DBG_ASSERT(list_iterator->IRow()==1);
DBG_ASSERT(list_iterator->JCol()==1);
ia_[0] = 0;
ja_tmp[0] = 1;
ipos_first_tmp[0] = list_iterator->PosTriplet();
++list_iterator;
Index idouble = 0;
while (list_iterator != entry_list.end()) {
Index irow = list_iterator->IRow();
Index jcol = list_iterator->JCol();
if (cur_row == irow && ja_tmp[nonzeros_compressed_] == jcol) {
// This element appears repeatedly, add to the double list
ipos_double_triplet_tmp[idouble] = list_iterator->PosTriplet();
ipos_double_compressed_tmp[idouble] = nonzeros_compressed_;
idouble++;
}
else {
// This is a new element
nonzeros_compressed_++;
ja_tmp[nonzeros_compressed_] = jcol;
ipos_first_tmp[nonzeros_compressed_] = list_iterator->PosTriplet();
if (cur_row != irow) {
// this is in a new row
// make sure that the diagonal element is given and that no
// row is omitted
DBG_ASSERT(irow==jcol);
DBG_ASSERT(cur_row+1==irow);
ia_[cur_row] = nonzeros_compressed_;
cur_row++;
}
}
++list_iterator;
}
nonzeros_compressed_++;
ia_[dim_] = nonzeros_compressed_;
DBG_ASSERT(cur_row == dim_);
DBG_ASSERT(idouble == nonzeros_triplet_-nonzeros_compressed_);
// Now copy the ja_tmp array to the (shorter) final one and make
// sure that the correct offset is used
ja_ = new Index[nonzeros_compressed_];
if (offset_==0) {
for (Index i=0; i<nonzeros_compressed_; i++) {
ja_[i] = ja_tmp[i] - 1;
}
}
else {
for (Index i=0; i<nonzeros_compressed_; i++) {
ja_[i] = ja_tmp[i];
}
for (Index i=0; i<=dim_; i++) {
ia_[i] = ia_[i] + 1;
}
}
delete[] ja_tmp;
// Reallocate memory for the "first" array
ipos_first_ = new Index[nonzeros_compressed_];
for (Index i=0; i<nonzeros_compressed_; i++) {
ipos_first_[i] = ipos_first_tmp[i];
}
delete[] ipos_first_tmp;
// Reallocate memory for the "double" arrays
ipos_double_triplet_ = new Index[idouble];
ipos_double_compressed_ = new Index[idouble];
for (Index i=0; i<idouble; i++) {
ipos_double_triplet_[i] = ipos_double_triplet_tmp[i];
ipos_double_compressed_[i] = ipos_double_compressed_tmp[i];
}
delete[] ipos_double_triplet_tmp;
delete[] ipos_double_compressed_tmp;
initialized_ = true;
if (DBG_VERBOSITY()>=2) {
for (Index i=0; i<=dim_; i++) {
DBG_PRINT((2, "ia[%5d] = %5d\n", i, ia_[i]));
}
for (Index i=0; i<nonzeros_compressed_; i++) {
DBG_PRINT((2, "ja[%5d] = %5d ipos_first[%5d] = %5d\n", i, ja_[i], i, ipos_first_[i]));
}
for (Index i=0; i<nonzeros_triplet_-nonzeros_compressed_; i++) {
DBG_PRINT((2, "ipos_double_triplet[%5d] = %5d ipos_double_compressed[%5d] = %5d\n", i, ipos_double_triplet_[i], i, ipos_double_compressed_[i]));
}
}
return nonzeros_compressed_;
}
