/// \ingroup newmat
///@{
/// \file newmat4.cpp
/// Constructors, resize, basic utilities, SimpleIntArray.
// Copyright (C) 1991,2,3,4,8,9: R B Davies
//#define WANT_STREAM
#include "include.h"
#include "newmat.h"
#include "newmatrc.h"
#ifdef use_namespace
namespace NEWMAT {
#endif
#ifdef DO_REPORT
#define REPORT { static ExeCounter ExeCount(__LINE__,4); ++ExeCount; }
#else
#define REPORT {}
#endif
#define DO_SEARCH // search for LHS of = in RHS
// ************************* general utilities *************************/
static int tristore(int n) // elements in triangular matrix
{ return (n*(n+1))/2; }
// **************************** constructors ***************************/
GeneralMatrix::GeneralMatrix()
{ store=0; storage=0; nrows_val=0; ncols_val=0; tag_val=-1; }
GeneralMatrix::GeneralMatrix(ArrayLengthSpecifier s)
{
REPORT
storage=s.Value(); tag_val=-1;
if (storage)
{
store = new Real [storage]; MatrixErrorNoSpace(store);
MONITOR_REAL_NEW("Make (GenMatrix)",storage,store)
}
else store = 0;
}
Matrix::Matrix(int m, int n) : GeneralMatrix(m*n)
{ REPORT nrows_val=m; ncols_val=n; }
SquareMatrix::SquareMatrix(ArrayLengthSpecifier n)
: Matrix(n.Value(),n.Value())
{ REPORT }
SymmetricMatrix::SymmetricMatrix(ArrayLengthSpecifier n)
: GeneralMatrix(tristore(n.Value()))
{ REPORT nrows_val=n.Value(); ncols_val=n.Value(); }
UpperTriangularMatrix::UpperTriangularMatrix(ArrayLengthSpecifier n)
: GeneralMatrix(tristore(n.Value()))
{ REPORT nrows_val=n.Value(); ncols_val=n.Value(); }
LowerTriangularMatrix::LowerTriangularMatrix(ArrayLengthSpecifier n)
: GeneralMatrix(tristore(n.Value()))
{ REPORT nrows_val=n.Value(); ncols_val=n.Value(); }
DiagonalMatrix::DiagonalMatrix(ArrayLengthSpecifier m) : GeneralMatrix(m)
{ REPORT nrows_val=m.Value(); ncols_val=m.Value(); }
Matrix::Matrix(const BaseMatrix& M)
{
REPORT // CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::Rt);
GetMatrix(gmx);
}
SquareMatrix::SquareMatrix(const BaseMatrix& M) : Matrix(M)
{
REPORT
if (ncols_val != nrows_val)
{
Tracer tr("SquareMatrix");
Throw(NotSquareException(*this));
}
}
SquareMatrix::SquareMatrix(const Matrix& gm)
{
REPORT
if (gm.ncols_val != gm.nrows_val)
{
Tracer tr("SquareMatrix(Matrix)");
Throw(NotSquareException(gm));
}
GetMatrix(&gm);
}
RowVector::RowVector(const BaseMatrix& M) : Matrix(M)
{
REPORT
if (nrows_val!=1)
{
Tracer tr("RowVector");
Throw(VectorException(*this));
}
}
ColumnVector::ColumnVector(const BaseMatrix& M) : Matrix(M)
{
REPORT
if (ncols_val!=1)
{
Tracer tr("ColumnVector");
Throw(VectorException(*this));
}
}
SymmetricMatrix::SymmetricMatrix(const BaseMatrix& M)
{
REPORT // CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::Sm);
GetMatrix(gmx);
}
UpperTriangularMatrix::UpperTriangularMatrix(const BaseMatrix& M)
{
REPORT // CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::UT);
GetMatrix(gmx);
}
LowerTriangularMatrix::LowerTriangularMatrix(const BaseMatrix& M)
{
REPORT // CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::LT);
GetMatrix(gmx);
}
DiagonalMatrix::DiagonalMatrix(const BaseMatrix& M)
{
REPORT //CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::Dg);
GetMatrix(gmx);
}
IdentityMatrix::IdentityMatrix(const BaseMatrix& M)
{
REPORT //CheckConversion(M);
// MatrixConversionCheck mcc;
GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::Id);
GetMatrix(gmx);
}
GeneralMatrix::~GeneralMatrix()
{
if (store)
{
MONITOR_REAL_DELETE("Free (GenMatrix)",storage,store)
delete [] store;
}
}
CroutMatrix::CroutMatrix(const BaseMatrix& m)
{
REPORT
Tracer tr("CroutMatrix");
indx = 0; // in case of exception at next line
GeneralMatrix* gm = ((BaseMatrix&)m).Evaluate();
if (gm->nrows_val!=gm->ncols_val)
{ gm->tDelete(); Throw(NotSquareException(*gm)); }
if (gm->type() == MatrixType::Ct)
{ REPORT ((CroutMatrix*)gm)->get_aux(*this); GetMatrix(gm); }
else
{
REPORT
GeneralMatrix* gm1 = gm->Evaluate(MatrixType::Rt);
GetMatrix(gm1);
d=true; sing=false;
indx=new int [nrows_val]; MatrixErrorNoSpace(indx);
MONITOR_INT_NEW("Index (CroutMat)",nrows_val,indx)
ludcmp();
}
}
// could we use SetParameters instead of this
void CroutMatrix::get_aux(CroutMatrix& X)
{
X.d = d; X.sing = sing;
if (tag_val == 0 || tag_val == 1) // reuse the array
{ REPORT X.indx = indx; indx = 0; d = true; sing = true; return; }
else if (nrows_val == 0)
{ REPORT indx = 0; d = true; sing = true; return; }
else // copy the array
{
REPORT
Tracer tr("CroutMatrix::get_aux");
int *ix = new int [nrows_val]; MatrixErrorNoSpace(ix);
MONITOR_INT_NEW("Index (CM::get_aux)", nrows_val, ix)
int n = nrows_val; int* i = ix; int* j = indx;
while(n--) *i++ = *j++;
X.indx = ix;
}
}
CroutMatrix::CroutMatrix(const CroutMatrix& gm) : GeneralMatrix()
{
REPORT
Tracer tr("CroutMatrix(const CroutMatrix&)");
((CroutMatrix&)gm).get_aux(*this);
GetMatrix(&gm);
}
CroutMatrix::~CroutMatrix()
{
MONITOR_INT_DELETE("Index (CroutMat)",nrows_val,indx)
delete [] indx;
}
//ReturnMatrix::ReturnMatrix(GeneralMatrix& gmx)
//{
// REPORT
// gm = gmx.Image(); gm->ReleaseAndDelete();
//}
GeneralMatrix::operator ReturnMatrix() const
{
REPORT
GeneralMatrix* gm = Image(); gm->ReleaseAndDelete();
return ReturnMatrix(gm);
}
ReturnMatrix GeneralMatrix::for_return() const
{
REPORT
GeneralMatrix* gm = Image(); gm->ReleaseAndDelete();
return ReturnMatrix(gm);
}
// ************ Constructors for use with NR in C++ interface ***********
#ifdef SETUP_C_SUBSCRIPTS
Matrix::Matrix(Real a, int m, int n) : GeneralMatrix(m * n)
{ REPORT nrows_val=m; ncols_val=n; operator=(a); }
Matrix::Matrix(const Real* a, int m, int n) : GeneralMatrix(m * n)
{ REPORT nrows_val=m; ncols_val=n; *this << a; }
#endif
// ************************** resize matrices ***************************/
void GeneralMatrix::resize(int nr, int nc, int s)
{
REPORT
if (store)
{
MONITOR_REAL_DELETE("Free (ReDimensi)",storage,store)
delete [] store;
}
storage=s; nrows_val=nr; ncols_val=nc; tag_val=-1;
if (s)
{
store = new Real [storage]; MatrixErrorNoSpace(store);
MONITOR_REAL_NEW("Make (ReDimensi)",storage,store)
}
else store = 0;
}
void Matrix::resize(int nr, int nc)
{ REPORT GeneralMatrix::resize(nr,nc,nr*nc); }
void SquareMatrix::resize(int n)
{ REPORT GeneralMatrix::resize(n,n,n*n); }
void SquareMatrix::resize(int nr, int nc)
{
REPORT
Tracer tr("SquareMatrix::resize");
if (nc != nr) Throw(NotSquareException(*this));
GeneralMatrix::resize(nr,nc,nr*nc);
}
void SymmetricMatrix::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,nr,tristore(nr)); }
void UpperTriangularMatrix::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,nr,tristore(nr)); }
void LowerTriangularMatrix::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,nr,tristore(nr)); }
void DiagonalMatrix::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,nr,nr); }
void RowVector::resize(int nc)
{ REPORT GeneralMatrix::resize(1,nc,nc); }
void ColumnVector::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,1,nr); }
void RowVector::resize(int nr, int nc)
{
Tracer tr("RowVector::resize");
if (nr != 1) Throw(VectorException(*this));
REPORT GeneralMatrix::resize(1,nc,nc);
}
void ColumnVector::resize(int nr, int nc)
{
Tracer tr("ColumnVector::resize");
if (nc != 1) Throw(VectorException(*this));
REPORT GeneralMatrix::resize(nr,1,nr);
}
void IdentityMatrix::resize(int nr)
{ REPORT GeneralMatrix::resize(nr,nr,1); *store = 1; }
void Matrix::resize(const GeneralMatrix& A)
{ REPORT resize(A.Nrows(), A.Ncols()); }
void SquareMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("SquareMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void nricMatrix::resize(const GeneralMatrix& A)
{ REPORT resize(A.Nrows(), A.Ncols()); }
void ColumnVector::resize(const GeneralMatrix& A)
{ REPORT resize(A.Nrows(), A.Ncols()); }
void RowVector::resize(const GeneralMatrix& A)
{ REPORT resize(A.Nrows(), A.Ncols()); }
void SymmetricMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("SymmetricMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void DiagonalMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("DiagonalMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void UpperTriangularMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("UpperTriangularMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void LowerTriangularMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("LowerTriangularMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void IdentityMatrix::resize(const GeneralMatrix& A)
{
REPORT
int n = A.Nrows();
if (n != A.Ncols())
{
Tracer tr("IdentityMatrix::resize(GM)");
Throw(NotSquareException(*this));
}
resize(n);
}
void GeneralMatrix::resize(const GeneralMatrix&)
{
REPORT
Tracer tr("GeneralMatrix::resize(GM)");
Throw(NotDefinedException("resize", "this type of matrix"));
}
//*********************** resize_keep *******************************
void Matrix::resize_keep(int nr, int nc)
{
Tracer tr("Matrix::resize_keep");
if (nr == nrows_val && nc == ncols_val) { REPORT return; }
if (nr <= nrows_val && nc <= ncols_val)
{
REPORT
Matrix X = submatrix(1,nr,1,nc);
swap(X);
}
else if (nr >= nrows_val && nc >= ncols_val)
{
REPORT
Matrix X(nr, nc); X = 0;
X.submatrix(1,nrows_val,1,ncols_val) = *this;
swap(X);
}
else
{
REPORT
Matrix X(nr, nc); X = 0;
if (nr > nrows_val) nr = nrows_val;
if (nc > ncols_val) nc = ncols_val;
X.submatrix(1,nr,1,nc) = submatrix(1,nr,1,nc);
swap(X);
}
}
void SquareMatrix::resize_keep(int nr)
{
Tracer tr("SquareMatrix::resize_keep");
if (nr < nrows_val)
{
REPORT
SquareMatrix X = sym_submatrix(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
SquareMatrix X(nr); X = 0;
X.sym_submatrix(1,nrows_val) = *this;
swap(X);
}
}
void SquareMatrix::resize_keep(int nr, int nc)
{
Tracer tr("SquareMatrix::resize_keep 2");
REPORT
if (nr != nc) Throw(NotSquareException(*this));
resize_keep(nr);
}
void SymmetricMatrix::resize_keep(int nr)
{
Tracer tr("SymmetricMatrix::resize_keep");
if (nr < nrows_val)
{
REPORT
SymmetricMatrix X = sym_submatrix(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
SymmetricMatrix X(nr); X = 0;
X.sym_submatrix(1,nrows_val) = *this;
swap(X);
}
}
void UpperTriangularMatrix::resize_keep(int nr)
{
Tracer tr("UpperTriangularMatrix::resize_keep");
if (nr < nrows_val)
{
REPORT
UpperTriangularMatrix X = sym_submatrix(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
UpperTriangularMatrix X(nr); X = 0;
X.sym_submatrix(1,nrows_val) = *this;
swap(X);
}
}
void LowerTriangularMatrix::resize_keep(int nr)
{
Tracer tr("LowerTriangularMatrix::resize_keep");
if (nr < nrows_val)
{
REPORT
LowerTriangularMatrix X = sym_submatrix(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
LowerTriangularMatrix X(nr); X = 0;
X.sym_submatrix(1,nrows_val) = *this;
swap(X);
}
}
void DiagonalMatrix::resize_keep(int nr)
{
Tracer tr("DiagonalMatrix::resize_keep");
if (nr < nrows_val)
{
REPORT
DiagonalMatrix X = sym_submatrix(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
DiagonalMatrix X(nr); X = 0;
X.sym_submatrix(1,nrows_val) = *this;
swap(X);
}
}
void RowVector::resize_keep(int nc)
{
Tracer tr("RowVector::resize_keep");
if (nc < ncols_val)
{
REPORT
RowVector X = columns(1,nc);
swap(X);
}
else if (nc > ncols_val)
{
REPORT
RowVector X(nc); X = 0;
X.columns(1,ncols_val) = *this;
swap(X);
}
}
void RowVector::resize_keep(int nr, int nc)
{
Tracer tr("RowVector::resize_keep 2");
REPORT
if (nr != 1) Throw(VectorException(*this));
resize_keep(nc);
}
void ColumnVector::resize_keep(int nr)
{
Tracer tr("ColumnVector::resize_keep");
if (nr < nrows_val)
{
REPORT
ColumnVector X = rows(1,nr);
swap(X);
}
else if (nr > nrows_val)
{
REPORT
ColumnVector X(nr); X = 0;
X.rows(1,nrows_val) = *this;
swap(X);
}
}
void ColumnVector::resize_keep(int nr, int nc)
{
Tracer tr("ColumnVector::resize_keep 2");
REPORT
if (nc != 1) Throw(VectorException(*this));
resize_keep(nr);
}
/*
void GeneralMatrix::resizeForAdd(const GeneralMatrix& A, const GeneralMatrix&)
{ REPORT resize(A); }
void GeneralMatrix::resizeForSP(const GeneralMatrix& A, const GeneralMatrix&)
{ REPORT resize(A); }
// ************************* SameStorageType ******************************
// SameStorageType checks A and B have same storage type including bandwidth
// It does not check same dimensions since we assume this is already done
bool GeneralMatrix::SameStorageType(const GeneralMatrix& A) const
{
REPORT
return type() == A.type();
}
*/
// ******************* manipulate types, storage **************************/
int GeneralMatrix::search(const BaseMatrix* s) const
{ REPORT return (s==this) ? 1 : 0; }
int GenericMatrix::search(const BaseMatrix* s) const
{ REPORT return gm->search(s); }
int MultipliedMatrix::search(const BaseMatrix* s) const
{ REPORT return bm1->search(s) + bm2->search(s); }
int ShiftedMatrix::search(const BaseMatrix* s) const
{ REPORT return bm->search(s); }
int NegatedMatrix::search(const BaseMatrix* s) const
{ REPORT return bm->search(s); }
int ReturnMatrix::search(const BaseMatrix* s) const
{ REPORT return (s==gm) ? 1 : 0; }
MatrixType Matrix::type() const { return MatrixType::Rt; }
MatrixType SquareMatrix::type() const { return MatrixType::Sq; }
MatrixType SymmetricMatrix::type() const { return MatrixType::Sm; }
MatrixType UpperTriangularMatrix::type() const { return MatrixType::UT; }
MatrixType LowerTriangularMatrix::type() const { return MatrixType::LT; }
MatrixType DiagonalMatrix::type() const { return MatrixType::Dg; }
MatrixType RowVector::type() const { return MatrixType::RV; }
MatrixType ColumnVector::type() const { return MatrixType::CV; }
MatrixType CroutMatrix::type() const { return MatrixType::Ct; }
MatrixType BandMatrix::type() const { return MatrixType::BM; }
MatrixType UpperBandMatrix::type() const { return MatrixType::UB; }
MatrixType LowerBandMatrix::type() const { return MatrixType::LB; }
MatrixType SymmetricBandMatrix::type() const { return MatrixType::SB; }
MatrixType IdentityMatrix::type() const { return MatrixType::Id; }
MatrixBandWidth BaseMatrix::bandwidth() const { REPORT return -1; }
MatrixBandWidth DiagonalMatrix::bandwidth() const { REPORT return 0; }
MatrixBandWidth IdentityMatrix::bandwidth() const { REPORT return 0; }
MatrixBandWidth UpperTriangularMatrix::bandwidth() const
{ REPORT return MatrixBandWidth(0,-1); }
MatrixBandWidth LowerTriangularMatrix::bandwidth() const
{ REPORT return MatrixBandWidth(-1,0); }
MatrixBandWidth BandMatrix::bandwidth() const
{ REPORT return MatrixBandWidth(lower_val,upper_val); }
MatrixBandWidth BandLUMatrix::bandwidth() const
{ REPORT return MatrixBandWidth(m1,m2); }
MatrixBandWidth GenericMatrix::bandwidth()const
{ REPORT return gm->bandwidth(); }
MatrixBandWidth AddedMatrix::bandwidth() const
{ REPORT return gm1->bandwidth() + gm2->bandwidth(); }
MatrixBandWidth SPMatrix::bandwidth() const
{ REPORT return gm1->bandwidth().minimum(gm2->bandwidth()); }
MatrixBandWidth KPMatrix::bandwidth() const
{
int lower, upper;
MatrixBandWidth bw1 = gm1->bandwidth(), bw2 = gm2->bandwidth();
if (bw1.Lower() < 0)
{
if (bw2.Lower() < 0) { REPORT lower = -1; }
else { REPORT lower = bw2.Lower() + (gm1->Nrows() - 1) * gm2->Nrows(); }
}
else
{
if (bw2.Lower() < 0)
{ REPORT lower = (1 + bw1.Lower()) * gm2->Nrows() - 1; }
else { REPORT lower = bw2.Lower() + bw1.Lower() * gm2->Nrows(); }
}
if (bw1.Upper() < 0)
{
if (bw2.Upper() < 0) { REPORT upper = -1; }
else { REPORT upper = bw2.Upper() + (gm1->Nrows() - 1) * gm2->Nrows(); }
}
else
{
if (bw2.Upper() < 0)
{ REPORT upper = (1 + bw1.Upper()) * gm2->Nrows() - 1; }
else { REPORT upper = bw2.Upper() + bw1.Upper() * gm2->Nrows(); }
}
return MatrixBandWidth(lower, upper);
}
MatrixBandWidth MultipliedMatrix::bandwidth() const
{ REPORT return gm1->bandwidth() * gm2->bandwidth(); }
MatrixBandWidth ConcatenatedMatrix::bandwidth() const { REPORT return -1; }
MatrixBandWidth SolvedMatrix::bandwidth() const
{
if (+gm1->type() & MatrixType::Diagonal)
{ REPORT return gm2->bandwidth(); }
else { REPORT return -1; }
}
MatrixBandWidth ScaledMatrix::bandwidth() const
{ REPORT return gm->bandwidth(); }
MatrixBandWidth NegatedMatrix::bandwidth() const
{ REPORT return gm->bandwidth(); }
MatrixBandWidth TransposedMatrix::bandwidth() const
{ REPORT return gm->bandwidth().t(); }
MatrixBandWidth InvertedMatrix::bandwidth() const
{
if (+gm->type() & MatrixType::Diagonal)
{ REPORT return MatrixBandWidth(0,0); }
else { REPORT return -1; }
}
MatrixBandWidth RowedMatrix::bandwidth() const { REPORT return -1; }
MatrixBandWidth ColedMatrix::bandwidth() const { REPORT return -1; }
MatrixBandWidth DiagedMatrix::bandwidth() const { REPORT return 0; }
MatrixBandWidth MatedMatrix::bandwidth() const { REPORT return -1; }
MatrixBandWidth ReturnMatrix::bandwidth() const
{ REPORT return gm->bandwidth(); }
MatrixBandWidth GetSubMatrix::bandwidth() const
{
if (row_skip==col_skip && row_number==col_number)
{ REPORT return gm->bandwidth(); }
else { REPORT return MatrixBandWidth(-1); }
}
// ********************** the memory managment tools **********************/
// Rules regarding tDelete, reuse, GetStore, BorrowStore
// All matrices processed during expression evaluation must be subject
// to exactly one of reuse(), tDelete(), GetStore() or BorrowStore().
// If reuse returns true the matrix must be reused.
// GetMatrix(gm) always calls gm->GetStore()
// gm->Evaluate obeys rules
// bm->Evaluate obeys rules for matrices in bm structure
// Meaning of tag_val
// tag_val = -1 memory cannot be reused (default situation)
// tag_val = -2 memory has been borrowed from another matrix
// (don't change values)
// tag_val = i > 0 delete or reuse memory after i operations
// tag_val = 0 like value 1 but matrix was created by new
// so delete it
void GeneralMatrix::tDelete()
{
if (tag_val<0)
{
if (tag_val<-1) { REPORT store = 0; delete this; return; } // borrowed
else { REPORT return; } // not a temporary matrix - leave alone
}
if (tag_val==1)
{
if (store)
{
REPORT MONITOR_REAL_DELETE("Free (tDelete)",storage,store)
delete [] store;
}
MiniCleanUp(); return; // CleanUp
}
if (tag_val==0) { REPORT delete this; return; }
REPORT tag_val--; return;
}
void newmat_block_copy(int n, Real* from, Real* to)
{
REPORT
int i = (n >> 3);
while (i--)
{
*to++ = *from++; *to++ = *from++; *to++ = *from++; *to++ = *from++;
*to++ = *from++; *to++ = *from++; *to++ = *from++; *to++ = *from++;
}
i = n & 7; while (i--) *to++ = *from++;
}
bool GeneralMatrix::reuse()
{
if (tag_val < -1) // borrowed storage
{
if (storage)
{
REPORT
Real* s = new Real [storage]; MatrixErrorNoSpace(s);
MONITOR_REAL_NEW("Make (reuse)",storage,s)
newmat_block_copy(storage, store, s); store = s;
}
else { REPORT MiniCleanUp(); } // CleanUp
tag_val = 0; return true;
}
if (tag_val < 0 ) { REPORT return false; }
if (tag_val <= 1 ) { REPORT return true; }
REPORT tag_val--; return false;
}
Real* GeneralMatrix::GetStore()
{
if (tag_val<0 || tag_val>1)
{
Real* s;
if (storage)
{
s = new Real [storage]; MatrixErrorNoSpace(s);
MONITOR_REAL_NEW("Make (GetStore)",storage,s)
newmat_block_copy(storage, store, s);
}
else s = 0;
if (tag_val > 1) { REPORT tag_val--; }
else if (tag_val < -1) { REPORT store = 0; delete this; } // borrowed store
else { REPORT }
return s;
}
Real* s = store; // cleanup - done later
if (tag_val==0) { REPORT store = 0; delete this; }
else { REPORT MiniCleanUp(); }
return s;
}
void GeneralMatrix::GetMatrix(const GeneralMatrix* gmx)
{
REPORT tag_val=-1; nrows_val=gmx->Nrows(); ncols_val=gmx->Ncols();
storage=gmx->storage; SetParameters(gmx);
store=((GeneralMatrix*)gmx)->GetStore();
}
GeneralMatrix* GeneralMatrix::BorrowStore(GeneralMatrix* gmx, MatrixType mt)
// Copy storage of *this to storage of *gmx. Then convert to type mt.
// If mt == 0 just let *gmx point to storage of *this if tag_val==-1.
{
if (!mt)
{
if (tag_val == -1) { REPORT gmx->tag_val = -2; gmx->store = store; }
else { REPORT gmx->tag_val = 0; gmx->store = GetStore(); }
}
else if (Compare(gmx->type(),mt))
{ REPORT gmx->tag_val = 0; gmx->store = GetStore(); }
else
{
REPORT gmx->tag_val = -2; gmx->store = store;
gmx = gmx->Evaluate(mt); gmx->tag_val = 0; tDelete();
}
return gmx;
}
void GeneralMatrix::Eq(const BaseMatrix& X, MatrixType mt)
// Count number of references to this in X.
// If zero delete storage in this;
// otherwise tag this to show when storage can be deleted
// evaluate X and copy to this
{
#ifdef DO_SEARCH
int counter=X.search(this);
if (counter==0)
{
REPORT
if (store)
{
MONITOR_REAL_DELETE("Free (operator=)",storage,store)
REPORT delete [] store; storage = 0; store = 0;
}
}
else { REPORT Release(counter); }
GeneralMatrix* gmx = ((BaseMatrix&)X).Evaluate(mt);
if (gmx!=this) { REPORT GetMatrix(gmx); }
else { REPORT }
Protect();
#else
GeneralMatrix* gmx = ((BaseMatrix&)X).Evaluate(mt);
if (gmx!=this)
{
REPORT
if (store)
{
MONITOR_REAL_DELETE("Free (operator=)",storage,store)
REPORT delete [] store; storage = 0; store = 0;
}
GetMatrix(gmx);
}
else { REPORT }
Protect();
#endif
}
// version with no conversion
void GeneralMatrix::Eq(const GeneralMatrix& X)
{
GeneralMatrix* gmx = (GeneralMatrix*)&X;
if (gmx!=this)
{
REPORT
if (store)
{
MONITOR_REAL_DELETE("Free (operator=)",storage,store)
REPORT delete [] store; storage = 0; store = 0;
}
GetMatrix(gmx);
}
else { REPORT }
Protect();
}
// version to work with operator<<
void GeneralMatrix::Eq(const BaseMatrix& X, MatrixType mt, bool ldok)
{
REPORT
if (ldok) mt.SetDataLossOK();
Eq(X, mt);
}
void GeneralMatrix::Eq2(const BaseMatrix& X, MatrixType mt)
// a cut down version of Eq for use with += etc.
// we know BaseMatrix points to two GeneralMatrix objects,
// the first being this (may be the same).
// we know tag_val has been set correctly in each.
{
GeneralMatrix* gmx = ((BaseMatrix&)X).Evaluate(mt);
if (gmx!=this) { REPORT GetMatrix(gmx); } // simplify GetMatrix ?
else { REPORT }
Protect();
}
void GeneralMatrix::inject(const GeneralMatrix& X)
// copy stored values of X; otherwise leave els of *this unchanged
{
REPORT
Tracer tr("inject");
if (nrows_val != X.nrows_val || ncols_val != X.ncols_val)
Throw(IncompatibleDimensionsException());
MatrixRow mr((GeneralMatrix*)&X, LoadOnEntry);
MatrixRow mrx(this, LoadOnEntry+StoreOnExit+DirectPart);
int i=nrows_val;
while (i--) { mrx.Inject(mr); mrx.Next(); mr.Next(); }
}
// ************* checking for data loss during conversion *******************/
bool Compare(const MatrixType& source, MatrixType& destination)
{
if (!destination) { destination=source; return true; }
if (destination==source) return true;
if (!destination.DataLossOK && !(destination>=source))
Throw(ProgramException("Illegal Conversion", source, destination));
return false;
}
// ************* Make a copy of a matrix on the heap *********************/
GeneralMatrix* Matrix::Image() const
{
REPORT
GeneralMatrix* gm = new Matrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* SquareMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new SquareMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* SymmetricMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new SymmetricMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* UpperTriangularMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new UpperTriangularMatrix(*this);
MatrixErrorNoSpace(gm); return gm;
}
GeneralMatrix* LowerTriangularMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new LowerTriangularMatrix(*this);
MatrixErrorNoSpace(gm); return gm;
}
GeneralMatrix* DiagonalMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new DiagonalMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* RowVector::Image() const
{
REPORT
GeneralMatrix* gm = new RowVector(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* ColumnVector::Image() const
{
REPORT
GeneralMatrix* gm = new ColumnVector(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* nricMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new nricMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* IdentityMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new IdentityMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* CroutMatrix::Image() const
{
REPORT
GeneralMatrix* gm = new CroutMatrix(*this); MatrixErrorNoSpace(gm);
return gm;
}
GeneralMatrix* GeneralMatrix::Image() const
{
bool dummy = true;
if (dummy) // get rid of warning message
Throw(InternalException("Cannot apply Image to this matrix type"));
return 0;
}
// *********************** nricMatrix routines *****************************/
void nricMatrix::MakeRowPointer()
{
REPORT
if (nrows_val > 0)
{
row_pointer = new Real* [nrows_val]; MatrixErrorNoSpace(row_pointer);
Real* s = Store() - 1; int i = nrows_val; Real** rp = row_pointer;
if (i) for (;;) { *rp++ = s; if (!(--i)) break; s+=ncols_val; }
}
else row_pointer = 0;
}
void nricMatrix::DeleteRowPointer()
{ REPORT if (nrows_val) delete [] row_pointer; }
void GeneralMatrix::CheckStore() const
{
REPORT
if (!store)
Throw(ProgramException("NRIC accessing matrix with unset dimensions"));
}
// *************************** CleanUp routines *****************************/
void GeneralMatrix::cleanup()
{
// set matrix dimensions to zero, delete storage
REPORT
if (store && storage)
{
MONITOR_REAL_DELETE("Free (cleanup) ",storage,store)
REPORT delete [] store;
}
store=0; storage=0; nrows_val=0; ncols_val=0; tag_val = -1;
}
void nricMatrix::cleanup()
{ REPORT DeleteRowPointer(); GeneralMatrix::cleanup(); }
void nricMatrix::MiniCleanUp()
{ REPORT DeleteRowPointer(); GeneralMatrix::MiniCleanUp(); }
void RowVector::cleanup()
{ REPORT GeneralMatrix::cleanup(); nrows_val=1; }
void ColumnVector::cleanup()
{ REPORT GeneralMatrix::cleanup(); ncols_val=1; }
void CroutMatrix::cleanup()
{
REPORT
if (nrows_val) delete [] indx;
GeneralMatrix::cleanup();
}
void CroutMatrix::MiniCleanUp()
{
REPORT
if (nrows_val) delete [] indx;
GeneralMatrix::MiniCleanUp();
}
void BandLUMatrix::cleanup()
{
REPORT
if (nrows_val) delete [] indx;
if (storage2) delete [] store2;
GeneralMatrix::cleanup();
}
void BandLUMatrix::MiniCleanUp()
{
REPORT
if (nrows_val) delete [] indx;
if (storage2) delete [] store2;
GeneralMatrix::MiniCleanUp();
}
// ************************ simple integer array class ***********************
// construct a new array of length xn. Check that xn is non-negative and
// that space is available
SimpleIntArray::SimpleIntArray(int xn) : n(xn)
{
if (n < 0) Throw(Logic_error("invalid array length"));
else if (n == 0) { REPORT a = 0; }
else { REPORT a = new int [n]; if (!a) Throw(Bad_alloc()); }
}
// destroy an array - return its space to memory
SimpleIntArray::~SimpleIntArray() { REPORT if (a) delete [] a; }
// access an element of an array; return a "reference" so elements
// can be modified.
// check index is within range
// in this array class the index runs from 0 to n-1
int& SimpleIntArray::operator[](int i)
{
REPORT
if (i < 0 || i >= n) Throw(Logic_error("array index out of range"));
return a[i];
}
// same thing again but for arrays declared constant so we can't
// modify its elements
int SimpleIntArray::operator[](int i) const
{
REPORT
if (i < 0 || i >= n) Throw(Logic_error("array index out of range"));
return a[i];
}
// set all the elements equal to a given value
void SimpleIntArray::operator=(int ai)
{ REPORT for (int i = 0; i < n; i++) a[i] = ai; }
// set the elements equal to those of another array.
// now allow length to be changed
void SimpleIntArray::operator=(const SimpleIntArray& b)
{
REPORT
if (b.n != n) resize(b.n);
for (int i = 0; i < n; i++) a[i] = b.a[i];
}
// construct a new array equal to an existing array
// check that space is available
SimpleIntArray::SimpleIntArray(const SimpleIntArray& b) : Janitor(), n(b.n)
{
if (n == 0) { REPORT a = 0; }
else
{
REPORT
a = new int [n]; if (!a) Throw(Bad_alloc());
for (int i = 0; i < n; i++) a[i] = b.a[i];
}
}
// change the size of an array; optionally copy data from old array to
// new array
void SimpleIntArray::resize(int n1, bool keep)
{
if (n1 == n) { REPORT return; }
else if (n1 == 0) { REPORT n = 0; delete [] a; a = 0; }
else if (n == 0)
{
REPORT
a = new int [n1]; if (!a) Throw(Bad_alloc());
n = n1;
if (keep) operator=(0);
}
else
{
int* a1 = a;
if (keep)
{
REPORT
int i;
a = new int [n1]; if (!a) Throw(Bad_alloc());
if (n > n1) n = n1;
else for (i = n; i < n1; i++) a[i] = 0;
for (i = 0; i < n; i++) a[i] = a1[i];
n = n1; delete [] a1;
}
else
{
REPORT n = n1; delete [] a1;
a = new int [n]; if (!a) Throw(Bad_alloc());
}
}
}
//************************** swap values ********************************
// swap values
void GeneralMatrix::swap(GeneralMatrix& gm)
{
REPORT
int t;
t = tag_val; tag_val = gm.tag_val; gm.tag_val = t;
t = nrows_val; nrows_val = gm.nrows_val; gm.nrows_val = t;
t = ncols_val; ncols_val = gm.ncols_val; gm.ncols_val = t;
t = storage; storage = gm.storage; gm.storage = t;
Real* s = store; store = gm.store; gm.store = s;
}
void nricMatrix::swap(nricMatrix& gm)
{
REPORT
GeneralMatrix::swap((GeneralMatrix&)gm);
Real** rp = row_pointer; row_pointer = gm.row_pointer; gm.row_pointer = rp;
}
void CroutMatrix::swap(CroutMatrix& gm)
{
REPORT
GeneralMatrix::swap((GeneralMatrix&)gm);
int* i = indx; indx = gm.indx; gm.indx = i;
bool b;
b = d; d = gm.d; gm.d = b;
b = sing; sing = gm.sing; gm.sing = b;
}
void BandMatrix::swap(BandMatrix& gm)
{
REPORT
GeneralMatrix::swap((GeneralMatrix&)gm);
int i;
i = lower_val; lower_val = gm.lower_val; gm.lower_val = i;
i = upper_val; upper_val = gm.upper_val; gm.upper_val = i;
}
void SymmetricBandMatrix::swap(SymmetricBandMatrix& gm)
{
REPORT
GeneralMatrix::swap((GeneralMatrix&)gm);
int i;
i = lower_val; lower_val = gm.lower_val; gm.lower_val = i;
}
void BandLUMatrix::swap(BandLUMatrix& gm)
{
REPORT
GeneralMatrix::swap((GeneralMatrix&)gm);
int* i = indx; indx = gm.indx; gm.indx = i;
bool b;
b = d; d = gm.d; gm.d = b;
b = sing; sing = gm.sing; gm.sing = b;
int m;
m = storage2; storage2 = gm.storage2; gm.storage2 = m;
m = m1; m1 = gm.m1; gm.m1 = m;
m = m2; m2 = gm.m2; gm.m2 = m;
Real* s = store2; store2 = gm.store2; gm.store2 = s;
}
void GenericMatrix::swap(GenericMatrix& x)
{
REPORT
GeneralMatrix* tgm = gm; gm = x.gm; x.gm = tgm;
}
// ********************** C subscript classes ****************************
RealStarStar::RealStarStar(Matrix& A)
{
REPORT
Tracer tr("RealStarStar");
int n = A.ncols();
int m = A.nrows();
a = new Real*[m];
MatrixErrorNoSpace(a);
Real* d = A.data();
for (int i = 0; i < m; ++i) a[i] = d + i * n;
}
ConstRealStarStar::ConstRealStarStar(const Matrix& A)
{
REPORT
Tracer tr("ConstRealStarStar");
int n = A.ncols();
int m = A.nrows();
a = new const Real*[m];
MatrixErrorNoSpace(a);
const Real* d = A.data();
for (int i = 0; i < m; ++i) a[i] = d + i * n;
}
#ifdef use_namespace
}
#endif
/// \fn GeneralMatrix::SimpleAddOK(const GeneralMatrix* gm)
/// Can we add two matrices with simple vector add.
/// SimpleAddOK shows when we can add two matrices by a simple vector add
/// and when we can add one matrix into another
///
/// *gm must be the same type as *this
/// - return 0 if simple add is OK
/// - return 1 if we can add into *gm only
/// - return 2 if we can add into *this only
/// - return 3 if we can't add either way
///
/// Also applies to subtract;
/// for SP this will still be valid if we swap 1 and 2
///
/// For types Matrix, DiagonalMatrix, UpperTriangularMatrix,
/// LowerTriangularMatrix, SymmetricMatrix etc return 0.
/// For band matrices we will need to check bandwidths.
///@}
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