Mercurial > octave-nkf
view liboctave/array/CMatrix.cc @ 20633:ffc6cdcd02c5 stable
Fix segfault when complex double matrix calls ZGETRF (bug #45577).
* CMatrix.cc (finverse, determinant, rcond, fsolve): Calculate norm of matrix
and if it is NaN, skip calling ZGETRF in LAPACK and set info to non-zero value
to signal an error.
| author | Rik <rik@octave.org> |
|---|---|
| date | Sat, 10 Oct 2015 16:46:00 -0700 |
| parents | 17d647821d61 |
| children | 1c5a86b7f838 |
line wrap: on
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// Matrix manipulations. /* Copyright (C) 1994-2015 John W. Eaton Copyright (C) 2008-2009 Jaroslav Hajek Copyright (C) 2009 VZLU Prague, a.s. This file is part of Octave. Octave is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. Octave is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Octave; see the file COPYING. If not, see <http://www.gnu.org/licenses/>. */ #ifdef HAVE_CONFIG_H #include <config.h> #endif #include <cfloat> #include <iostream> #include <vector> // FIXME #include <sys/types.h> #include "Array-util.h" #include "boolMatrix.h" #include "chMatrix.h" #include "dMatrix.h" #include "CMatrix.h" #include "CNDArray.h" #include "CRowVector.h" #include "dRowVector.h" #include "CDiagMatrix.h" #include "dDiagMatrix.h" #include "CmplxCHOL.h" #include "CmplxSCHUR.h" #include "CmplxSVD.h" #include "DET.h" #include "f77-fcn.h" #include "functor.h" #include "lo-error.h" #include "lo-ieee.h" #include "lo-mappers.h" #include "lo-utils.h" #include "mx-cm-dm.h" #include "mx-cm-s.h" #include "mx-dm-cm.h" #include "mx-inlines.cc" #include "mx-op-defs.h" #include "oct-cmplx.h" #include "oct-fftw.h" #include "oct-locbuf.h" #include "oct-norm.h" // Fortran functions we call. extern "C" { F77_RET_T F77_FUNC (xilaenv, XILAENV) (const octave_idx_type&, F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgebal, ZGEBAL) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type&, octave_idx_type&, double*, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (dgebak, DGEBAK) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, double*, const octave_idx_type&, double*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgemm, ZGEMM) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, const Complex&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex&, Complex*, const octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgemv, ZGEMV) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const Complex&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex&, Complex*, const octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (xzdotu, XZDOTU) (const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, Complex&); F77_RET_T F77_FUNC (xzdotc, XZDOTC) (const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, Complex&); F77_RET_T F77_FUNC (zsyrk, ZSYRK) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const Complex&, const Complex*, const octave_idx_type&, const Complex&, Complex*, const octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zherk, ZHERK) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const double&, const Complex*, const octave_idx_type&, const double&, Complex*, const octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgetrf, ZGETRF) (const octave_idx_type&, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type*, octave_idx_type&); F77_RET_T F77_FUNC (zgetrs, ZGETRS) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, Complex*, const octave_idx_type&, const octave_idx_type*, Complex*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgetri, ZGETRI) (const octave_idx_type&, Complex*, const octave_idx_type&, const octave_idx_type*, Complex*, const octave_idx_type&, octave_idx_type&); F77_RET_T F77_FUNC (zgecon, ZGECON) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, Complex*, const octave_idx_type&, const double&, double&, Complex*, double*, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zgelsy, ZGELSY) (const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, Complex*, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type*, double&, octave_idx_type&, Complex*, const octave_idx_type&, double*, octave_idx_type&); F77_RET_T F77_FUNC (zgelsd, ZGELSD) (const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, Complex*, const octave_idx_type&, Complex*, const octave_idx_type&, double*, double&, octave_idx_type&, Complex*, const octave_idx_type&, double*, octave_idx_type*, octave_idx_type&); F77_RET_T F77_FUNC (zpotrf, ZPOTRF) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zpocon, ZPOCON) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, Complex*, const octave_idx_type&, const double&, double&, Complex*, double*, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zpotrs, ZPOTRS) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const Complex*, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (ztrtri, ZTRTRI) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const Complex*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (ztrcon, ZTRCON) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const Complex*, const octave_idx_type&, double&, Complex*, double*, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (ztrtrs, ZTRTRS) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const Complex*, const octave_idx_type&, Complex*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (zlartg, ZLARTG) (const Complex&, const Complex&, double&, Complex&, Complex&); F77_RET_T F77_FUNC (ztrsyl, ZTRSYL) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, const Complex*, const octave_idx_type&, double&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (xzlange, XZLANGE) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, const Complex*, const octave_idx_type&, double*, double& F77_CHAR_ARG_LEN_DECL); } static const Complex Complex_NaN_result (octave_NaN, octave_NaN); // Complex Matrix class ComplexMatrix::ComplexMatrix (const Matrix& a) : ComplexNDArray (a) { } ComplexMatrix::ComplexMatrix (const RowVector& rv) : ComplexNDArray (rv) { } ComplexMatrix::ComplexMatrix (const ColumnVector& cv) : ComplexNDArray (cv) { } ComplexMatrix::ComplexMatrix (const DiagMatrix& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } ComplexMatrix::ComplexMatrix (const MDiagArray2<double>& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } ComplexMatrix::ComplexMatrix (const DiagArray2<double>& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } ComplexMatrix::ComplexMatrix (const ComplexRowVector& rv) : ComplexNDArray (rv) { } ComplexMatrix::ComplexMatrix (const ComplexColumnVector& cv) : ComplexNDArray (cv) { } ComplexMatrix::ComplexMatrix (const ComplexDiagMatrix& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } ComplexMatrix::ComplexMatrix (const MDiagArray2<Complex>& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } ComplexMatrix::ComplexMatrix (const DiagArray2<Complex>& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } // FIXME: could we use a templated mixed-type copy function here? ComplexMatrix::ComplexMatrix (const boolMatrix& a) : ComplexNDArray (a) { } ComplexMatrix::ComplexMatrix (const charMatrix& a) : ComplexNDArray (a.dims (), 0.0) { for (octave_idx_type i = 0; i < a.rows (); i++) for (octave_idx_type j = 0; j < a.cols (); j++) elem (i, j) = static_cast<unsigned char> (a.elem (i, j)); } ComplexMatrix::ComplexMatrix (const Matrix& re, const Matrix& im) : ComplexNDArray (re.dims ()) { if (im.rows () != rows () || im.cols () != cols ()) (*current_liboctave_error_handler) ("complex: internal error"); octave_idx_type nel = numel (); for (octave_idx_type i = 0; i < nel; i++) xelem (i) = Complex (re(i), im(i)); } bool ComplexMatrix::operator == (const ComplexMatrix& a) const { if (rows () != a.rows () || cols () != a.cols ()) return false; return mx_inline_equal (length (), data (), a.data ()); } bool ComplexMatrix::operator != (const ComplexMatrix& a) const { return !(*this == a); } bool ComplexMatrix::is_hermitian (void) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (is_square () && nr > 0) { for (octave_idx_type i = 0; i < nr; i++) for (octave_idx_type j = i; j < nc; j++) if (elem (i, j) != conj (elem (j, i))) return false; return true; } return false; } // destructive insert/delete/reorder operations ComplexMatrix& ComplexMatrix::insert (const Matrix& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_nr = a.rows (); octave_idx_type a_nc = a.cols (); if (r < 0 || r + a_nr > rows () || c < 0 || c + a_nc > cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } if (a_nr >0 && a_nc > 0) { make_unique (); for (octave_idx_type j = 0; j < a_nc; j++) for (octave_idx_type i = 0; i < a_nr; i++) xelem (r+i, c+j) = a.elem (i, j); } return *this; } ComplexMatrix& ComplexMatrix::insert (const RowVector& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_len = a.length (); if (r < 0 || r >= rows () || c < 0 || c + a_len > cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } if (a_len > 0) { make_unique (); for (octave_idx_type i = 0; i < a_len; i++) xelem (r, c+i) = a.elem (i); } return *this; } ComplexMatrix& ComplexMatrix::insert (const ColumnVector& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_len = a.length (); if (r < 0 || r + a_len > rows () || c < 0 || c >= cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } if (a_len > 0) { make_unique (); for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c) = a.elem (i); } return *this; } ComplexMatrix& ComplexMatrix::insert (const DiagMatrix& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_nr = a.rows (); octave_idx_type a_nc = a.cols (); if (r < 0 || r + a_nr > rows () || c < 0 || c + a_nc > cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } fill (0.0, r, c, r + a_nr - 1, c + a_nc - 1); octave_idx_type a_len = a.length (); if (a_len > 0) { make_unique (); for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c+i) = a.elem (i, i); } return *this; } ComplexMatrix& ComplexMatrix::insert (const ComplexMatrix& a, octave_idx_type r, octave_idx_type c) { ComplexNDArray::insert (a, r, c); return *this; } ComplexMatrix& ComplexMatrix::insert (const ComplexRowVector& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_len = a.length (); if (r < 0 || r >= rows () || c < 0 || c + a_len > cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } for (octave_idx_type i = 0; i < a_len; i++) elem (r, c+i) = a.elem (i); return *this; } ComplexMatrix& ComplexMatrix::insert (const ComplexColumnVector& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_len = a.length (); if (r < 0 || r + a_len > rows () || c < 0 || c >= cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } if (a_len > 0) { make_unique (); for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c) = a.elem (i); } return *this; } ComplexMatrix& ComplexMatrix::insert (const ComplexDiagMatrix& a, octave_idx_type r, octave_idx_type c) { octave_idx_type a_nr = a.rows (); octave_idx_type a_nc = a.cols (); if (r < 0 || r + a_nr > rows () || c < 0 || c + a_nc > cols ()) { (*current_liboctave_error_handler) ("range error for insert"); return *this; } fill (0.0, r, c, r + a_nr - 1, c + a_nc - 1); octave_idx_type a_len = a.length (); if (a_len > 0) { make_unique (); for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c+i) = a.elem (i, i); } return *this; } ComplexMatrix& ComplexMatrix::fill (double val) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { make_unique (); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) xelem (i, j) = val; } return *this; } ComplexMatrix& ComplexMatrix::fill (const Complex& val) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { make_unique (); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) xelem (i, j) = val; } return *this; } ComplexMatrix& ComplexMatrix::fill (double val, octave_idx_type r1, octave_idx_type c1, octave_idx_type r2, octave_idx_type c2) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (r1 < 0 || r2 < 0 || c1 < 0 || c2 < 0 || r1 >= nr || r2 >= nr || c1 >= nc || c2 >= nc) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } if (r1 > r2) { std::swap (r1, r2); } if (c1 > c2) { std::swap (c1, c2); } if (r2 >= r1 && c2 >= c1) { make_unique (); for (octave_idx_type j = c1; j <= c2; j++) for (octave_idx_type i = r1; i <= r2; i++) xelem (i, j) = val; } return *this; } ComplexMatrix& ComplexMatrix::fill (const Complex& val, octave_idx_type r1, octave_idx_type c1, octave_idx_type r2, octave_idx_type c2) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (r1 < 0 || r2 < 0 || c1 < 0 || c2 < 0 || r1 >= nr || r2 >= nr || c1 >= nc || c2 >= nc) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } if (r1 > r2) { std::swap (r1, r2); } if (c1 > c2) { std::swap (c1, c2); } if (r2 >= r1 && c2 >=c1) { make_unique (); for (octave_idx_type j = c1; j <= c2; j++) for (octave_idx_type i = r1; i <= r2; i++) xelem (i, j) = val; } return *this; } ComplexMatrix ComplexMatrix::append (const Matrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const RowVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != 1) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.length ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const ColumnVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.length ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + 1); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const DiagMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const ComplexMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const ComplexRowVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != 1) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.length ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const ComplexColumnVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.length ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + 1); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::append (const ComplexDiagMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } octave_idx_type nc_insert = nc; ComplexMatrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); return retval; } ComplexMatrix ComplexMatrix::stack (const Matrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const RowVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.length ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + 1, nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const ColumnVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != 1) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.length (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const DiagMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const ComplexMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const ComplexRowVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.length ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + 1, nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const ComplexColumnVector& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != 1) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.length (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix ComplexMatrix::stack (const ComplexDiagMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) ("column dimension mismatch for stack"); return *this; } octave_idx_type nr_insert = nr; ComplexMatrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); return retval; } ComplexMatrix conj (const ComplexMatrix& a) { return do_mx_unary_map<Complex, Complex, std::conj<double> > (a); } // resize is the destructive equivalent for this one ComplexMatrix ComplexMatrix::extract (octave_idx_type r1, octave_idx_type c1, octave_idx_type r2, octave_idx_type c2) const { if (r1 > r2) { std::swap (r1, r2); } if (c1 > c2) { std::swap (c1, c2); } return index (idx_vector (r1, r2+1), idx_vector (c1, c2+1)); } ComplexMatrix ComplexMatrix::extract_n (octave_idx_type r1, octave_idx_type c1, octave_idx_type nr, octave_idx_type nc) const { return index (idx_vector (r1, r1 + nr), idx_vector (c1, c1 + nc)); } // extract row or column i. ComplexRowVector ComplexMatrix::row (octave_idx_type i) const { return index (idx_vector (i), idx_vector::colon); } ComplexColumnVector ComplexMatrix::column (octave_idx_type i) const { return index (idx_vector::colon, idx_vector (i)); } ComplexMatrix ComplexMatrix::inverse (void) const { octave_idx_type info; double rcon; MatrixType mattype (*this); return inverse (mattype, info, rcon, 0, 0); } ComplexMatrix ComplexMatrix::inverse (octave_idx_type& info) const { double rcon; MatrixType mattype (*this); return inverse (mattype, info, rcon, 0, 0); } ComplexMatrix ComplexMatrix::inverse (octave_idx_type& info, double& rcon, int force, int calc_cond) const { MatrixType mattype (*this); return inverse (mattype, info, rcon, force, calc_cond); } ComplexMatrix ComplexMatrix::inverse (MatrixType &mattype) const { octave_idx_type info; double rcon; return inverse (mattype, info, rcon, 0, 0); } ComplexMatrix ComplexMatrix::inverse (MatrixType &mattype, octave_idx_type& info) const { double rcon; return inverse (mattype, info, rcon, 0, 0); } ComplexMatrix ComplexMatrix::tinverse (MatrixType &mattype, octave_idx_type& info, double& rcon, int force, int calc_cond) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != nc || nr == 0 || nc == 0) (*current_liboctave_error_handler) ("inverse requires square matrix"); else { int typ = mattype.type (); char uplo = (typ == MatrixType::Lower ? 'L' : 'U'); char udiag = 'N'; retval = *this; Complex *tmp_data = retval.fortran_vec (); F77_XFCN (ztrtri, ZTRTRI, (F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&udiag, 1), nr, tmp_data, nr, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); // Throw-away extra info LAPACK gives so as to not change output. rcon = 0.0; if (info != 0) info = -1; else if (calc_cond) { octave_idx_type ztrcon_info = 0; char job = '1'; OCTAVE_LOCAL_BUFFER (Complex, cwork, 2*nr); OCTAVE_LOCAL_BUFFER (double, rwork, nr); F77_XFCN (ztrcon, ZTRCON, (F77_CONST_CHAR_ARG2 (&job, 1), F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&udiag, 1), nr, tmp_data, nr, rcon, cwork, rwork, ztrcon_info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (ztrcon_info != 0) info = -1; } if (info == -1 && ! force) retval = *this; // Restore matrix contents. } return retval; } ComplexMatrix ComplexMatrix::finverse (MatrixType &mattype, octave_idx_type& info, double& rcon, int force, int calc_cond) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != nc) (*current_liboctave_error_handler) ("inverse requires square matrix"); else { Array<octave_idx_type> ipvt (dim_vector (nr, 1)); octave_idx_type *pipvt = ipvt.fortran_vec (); retval = *this; Complex *tmp_data = retval.fortran_vec (); Array<Complex> z (dim_vector (1, 1)); octave_idx_type lwork = -1; // Query the optimum work array size. F77_XFCN (zgetri, ZGETRI, (nc, tmp_data, nr, pipvt, z.fortran_vec (), lwork, info)); lwork = static_cast<octave_idx_type> (std::real (z(0))); lwork = (lwork < 2 *nc ? 2*nc : lwork); z.resize (dim_vector (lwork, 1)); Complex *pz = z.fortran_vec (); info = 0; // Calculate the norm of the matrix, for later use. double anorm; //if (calc_cond) // Must always calculate anorm for bug #45577 anorm = retval.abs ().sum ().row (static_cast<octave_idx_type>(0)).max (); // Work around bug #45577, LAPACK crashes Octave if norm is NaN if (xisnan (anorm)) info = -1; else F77_XFCN (zgetrf, ZGETRF, (nc, nc, tmp_data, nr, pipvt, info)); // Throw-away extra info LAPACK gives so as to not change output. rcon = 0.0; if (info != 0) info = -1; else if (calc_cond) { // Now calculate the condition number for non-singular matrix. octave_idx_type zgecon_info = 0; char job = '1'; Array<double> rz (dim_vector (2 * nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (zgecon, ZGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, rcon, pz, prz, zgecon_info F77_CHAR_ARG_LEN (1))); if (zgecon_info != 0) info = -1; } if (info == -1 && ! force) retval = *this; // Restore contents. else { octave_idx_type zgetri_info = 0; F77_XFCN (zgetri, ZGETRI, (nc, tmp_data, nr, pipvt, pz, lwork, zgetri_info)); if (zgetri_info != 0) info = -1; } if (info != 0) mattype.mark_as_rectangular (); } return retval; } ComplexMatrix ComplexMatrix::inverse (MatrixType &mattype, octave_idx_type& info, double& rcon, int force, int calc_cond) const { int typ = mattype.type (false); ComplexMatrix ret; if (typ == MatrixType::Unknown) typ = mattype.type (*this); if (typ == MatrixType::Upper || typ == MatrixType::Lower) ret = tinverse (mattype, info, rcon, force, calc_cond); else { if (mattype.is_hermitian ()) { ComplexCHOL chol (*this, info, calc_cond); if (info == 0) { if (calc_cond) rcon = chol.rcond (); else rcon = 1.0; ret = chol.inverse (); } else mattype.mark_as_unsymmetric (); } if (!mattype.is_hermitian ()) ret = finverse (mattype, info, rcon, force, calc_cond); if ((mattype.is_hermitian () || calc_cond) && rcon == 0.) ret = ComplexMatrix (rows (), columns (), Complex (octave_Inf, 0.)); } return ret; } ComplexMatrix ComplexMatrix::pseudo_inverse (double tol) const { ComplexMatrix retval; ComplexSVD result (*this, SVD::economy); DiagMatrix S = result.singular_values (); ComplexMatrix U = result.left_singular_matrix (); ComplexMatrix V = result.right_singular_matrix (); ColumnVector sigma = S.extract_diag (); octave_idx_type r = sigma.length () - 1; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (tol <= 0.0) { if (nr > nc) tol = nr * sigma.elem (0) * std::numeric_limits<double>::epsilon (); else tol = nc * sigma.elem (0) * std::numeric_limits<double>::epsilon (); } while (r >= 0 && sigma.elem (r) < tol) r--; if (r < 0) retval = ComplexMatrix (nc, nr, 0.0); else { ComplexMatrix Ur = U.extract (0, 0, nr-1, r); DiagMatrix D = DiagMatrix (sigma.extract (0, r)) . inverse (); ComplexMatrix Vr = V.extract (0, 0, nc-1, r); retval = Vr * D * Ur.hermitian (); } return retval; } #if defined (HAVE_FFTW) ComplexMatrix ComplexMatrix::fourier (void) const { size_t nr = rows (); size_t nc = cols (); ComplexMatrix retval (nr, nc); size_t npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } const Complex *in (data ()); Complex *out (retval.fortran_vec ()); octave_fftw::fft (in, out, npts, nsamples); return retval; } ComplexMatrix ComplexMatrix::ifourier (void) const { size_t nr = rows (); size_t nc = cols (); ComplexMatrix retval (nr, nc); size_t npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } const Complex *in (data ()); Complex *out (retval.fortran_vec ()); octave_fftw::ifft (in, out, npts, nsamples); return retval; } ComplexMatrix ComplexMatrix::fourier2d (void) const { dim_vector dv(rows (), cols ()); ComplexMatrix retval (rows (), cols ()); const Complex *in (data ()); Complex *out (retval.fortran_vec ()); octave_fftw::fftNd (in, out, 2, dv); return retval; } ComplexMatrix ComplexMatrix::ifourier2d (void) const { dim_vector dv(rows (), cols ()); ComplexMatrix retval (rows (), cols ()); const Complex *in (data ()); Complex *out (retval.fortran_vec ()); octave_fftw::ifftNd (in, out, 2, dv); return retval; } #else extern "C" { // Note that the original complex fft routines were not written for // double complex arguments. They have been modified by adding an // implicit double precision (a-h,o-z) statement at the beginning of // each subroutine. F77_RET_T F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); F77_RET_T F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); F77_RET_T F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); } ComplexMatrix ComplexMatrix::fourier (void) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); retval = *this; Complex *tmp_data = retval.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); F77_FUNC (zfftf, ZFFTF) (npts, &tmp_data[npts*j], pwsave); } return retval; } ComplexMatrix ComplexMatrix::ifourier (void) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); retval = *this; Complex *tmp_data = retval.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); F77_FUNC (zfftb, ZFFTB) (npts, &tmp_data[npts*j], pwsave); } for (octave_idx_type j = 0; j < npts*nsamples; j++) tmp_data[j] = tmp_data[j] / static_cast<double> (npts); return retval; } ComplexMatrix ComplexMatrix::fourier2d (void) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); retval = *this; Complex *tmp_data = retval.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); F77_FUNC (zfftf, ZFFTF) (npts, &tmp_data[npts*j], pwsave); } npts = nc; nsamples = nr; nn = 4*npts+15; wsave.resize (dim_vector (nn, 1)); pwsave = wsave.fortran_vec (); Array<Complex> tmp (dim_vector (npts, 1)); Complex *prow = tmp.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); for (octave_idx_type i = 0; i < npts; i++) prow[i] = tmp_data[i*nr + j]; F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); for (octave_idx_type i = 0; i < npts; i++) tmp_data[i*nr + j] = prow[i]; } return retval; } ComplexMatrix ComplexMatrix::ifourier2d (void) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { npts = nr > nc ? nr : nc; nsamples = 1; } else { npts = nr; nsamples = nc; } octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); retval = *this; Complex *tmp_data = retval.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); F77_FUNC (zfftb, ZFFTB) (npts, &tmp_data[npts*j], pwsave); } for (octave_idx_type j = 0; j < npts*nsamples; j++) tmp_data[j] = tmp_data[j] / static_cast<double> (npts); npts = nc; nsamples = nr; nn = 4*npts+15; wsave.resize (dim_vector (nn, 1)); pwsave = wsave.fortran_vec (); Array<Complex> tmp (dim_vector (npts, 1)); Complex *prow = tmp.fortran_vec (); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type j = 0; j < nsamples; j++) { octave_quit (); for (octave_idx_type i = 0; i < npts; i++) prow[i] = tmp_data[i*nr + j]; F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); for (octave_idx_type i = 0; i < npts; i++) tmp_data[i*nr + j] = prow[i] / static_cast<double> (npts); } return retval; } #endif ComplexDET ComplexMatrix::determinant (void) const { octave_idx_type info; double rcon; return determinant (info, rcon, 0); } ComplexDET ComplexMatrix::determinant (octave_idx_type& info) const { double rcon; return determinant (info, rcon, 0); } ComplexDET ComplexMatrix::determinant (octave_idx_type& info, double& rcon, int calc_cond) const { MatrixType mattype (*this); return determinant (mattype, info, rcon, calc_cond); } ComplexDET ComplexMatrix::determinant (MatrixType& mattype, octave_idx_type& info, double& rcon, int calc_cond) const { ComplexDET retval (1.0); info = 0; rcon = 0.0; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != nc) (*current_liboctave_error_handler) ("matrix must be square"); else { volatile int typ = mattype.type (); // Even though the matrix is marked as singular (Rectangular), we may // still get a useful number from the LU factorization, because it always // completes. if (typ == MatrixType::Unknown) typ = mattype.type (*this); else if (typ == MatrixType::Rectangular) typ = MatrixType::Full; if (typ == MatrixType::Lower || typ == MatrixType::Upper) { for (octave_idx_type i = 0; i < nc; i++) retval *= elem (i,i); } else if (typ == MatrixType::Hermitian) { ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); double anorm = 0; if (calc_cond) anorm = xnorm (*this, 1); char job = 'L'; F77_XFCN (zpotrf, ZPOTRF, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, info F77_CHAR_ARG_LEN (1))); if (info != 0) { rcon = 0.0; mattype.mark_as_unsymmetric (); typ = MatrixType::Full; } else { Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (zpocon, ZPOCON, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); if (info != 0) rcon = 0.0; for (octave_idx_type i = 0; i < nc; i++) retval *= atmp (i,i); retval = retval.square (); } } else if (typ != MatrixType::Full) (*current_liboctave_error_handler) ("det: invalid dense matrix type"); if (typ == MatrixType::Full) { Array<octave_idx_type> ipvt (dim_vector (nr, 1)); octave_idx_type *pipvt = ipvt.fortran_vec (); ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); info = 0; // Calculate the norm of the matrix, for later use. double anorm = 0; //if (calc_cond) // Must always calculate anorm for bug #45577 anorm = xnorm (*this, 1); // Work around bug #45577, LAPACK crashes Octave if norm is NaN if (xisnan (anorm)) info = -1; else F77_XFCN (zgetrf, ZGETRF, (nr, nr, tmp_data, nr, pipvt, info)); // Throw-away extra info LAPACK gives so as to not change output. rcon = 0.0; if (info != 0) { info = -1; retval = ComplexDET (); } else { if (calc_cond) { // Now calc the condition number for non-singular matrix. char job = '1'; Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (2 * nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (zgecon, ZGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); } if (info != 0) { info = -1; retval = ComplexDET (); } else { for (octave_idx_type i = 0; i < nc; i++) { Complex c = atmp(i,i); retval *= (ipvt(i) != (i+1)) ? -c : c; } } } } } return retval; } double ComplexMatrix::rcond (void) const { MatrixType mattype (*this); return rcond (mattype); } double ComplexMatrix::rcond (MatrixType &mattype) const { double rcon = octave_NaN; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != nc) (*current_liboctave_error_handler) ("matrix must be square"); else if (nr == 0 || nc == 0) rcon = octave_Inf; else { volatile int typ = mattype.type (); if (typ == MatrixType::Unknown) typ = mattype.type (*this); // Only calculate the condition number for LU/Cholesky if (typ == MatrixType::Upper) { const Complex *tmp_data = fortran_vec (); octave_idx_type info = 0; char norm = '1'; char uplo = 'U'; char dia = 'N'; Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (ztrcon, ZTRCON, (F77_CONST_CHAR_ARG2 (&norm, 1), F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, tmp_data, nr, rcon, pz, prz, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (info != 0) rcon = 0; } else if (typ == MatrixType::Permuted_Upper) (*current_liboctave_error_handler) ("permuted triangular matrix not implemented"); else if (typ == MatrixType::Lower) { const Complex *tmp_data = fortran_vec (); octave_idx_type info = 0; char norm = '1'; char uplo = 'L'; char dia = 'N'; Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (ztrcon, ZTRCON, (F77_CONST_CHAR_ARG2 (&norm, 1), F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, tmp_data, nr, rcon, pz, prz, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (info != 0) rcon = 0.0; } else if (typ == MatrixType::Permuted_Lower) (*current_liboctave_error_handler) ("permuted triangular matrix not implemented"); else if (typ == MatrixType::Full || typ == MatrixType::Hermitian) { double anorm = -1.0; if (typ == MatrixType::Hermitian) { octave_idx_type info = 0; char job = 'L'; ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); anorm = atmp.abs().sum(). row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (zpotrf, ZPOTRF, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, info F77_CHAR_ARG_LEN (1))); if (info != 0) { rcon = 0.0; mattype.mark_as_unsymmetric (); typ = MatrixType::Full; } else { Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (zpocon, ZPOCON, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); if (info != 0) rcon = 0.0; } } if (typ == MatrixType::Full) { octave_idx_type info = 0; ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); Array<octave_idx_type> ipvt (dim_vector (nr, 1)); octave_idx_type *pipvt = ipvt.fortran_vec (); if (anorm < 0.) anorm = atmp.abs ().sum (). row(static_cast<octave_idx_type>(0)).max (); Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (2 * nc, 1)); double *prz = rz.fortran_vec (); // Work around bug #45577, LAPACK crashes Octave if norm is NaN if (xisnan (anorm)) info = -1; else F77_XFCN (zgetrf, ZGETRF, (nr, nr, tmp_data, nr, pipvt, info)); if (info != 0) { rcon = 0.0; mattype.mark_as_rectangular (); } else { char job = '1'; F77_XFCN (zgecon, ZGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); if (info != 0) rcon = 0.0; } } } else rcon = 0.0; } return rcon; } ComplexMatrix ComplexMatrix::utsolve (MatrixType &mattype, const ComplexMatrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, bool calc_cond, blas_trans_type transt) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != b.rows ()) (*current_liboctave_error_handler) ("matrix dimension mismatch solution of linear equations"); else if (nr == 0 || nc == 0 || b.cols () == 0) retval = ComplexMatrix (nc, b.cols (), Complex (0.0, 0.0)); else { volatile int typ = mattype.type (); if (typ == MatrixType::Permuted_Upper || typ == MatrixType::Upper) { octave_idx_type b_nc = b.cols (); rcon = 1.; info = 0; if (typ == MatrixType::Permuted_Upper) { (*current_liboctave_error_handler) ("permuted triangular matrix not implemented"); } else { const Complex *tmp_data = fortran_vec (); retval = b; Complex *result = retval.fortran_vec (); char uplo = 'U'; char trans = get_blas_char (transt); char dia = 'N'; F77_XFCN (ztrtrs, ZTRTRS, (F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&trans, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, b_nc, tmp_data, nr, result, nr, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (calc_cond) { char norm = '1'; uplo = 'U'; dia = 'N'; Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (ztrcon, ZTRCON, (F77_CONST_CHAR_ARG2 (&norm, 1), F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, tmp_data, nr, rcon, pz, prz, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (info != 0) info = -2; volatile double rcond_plus_one = rcon + 1.0; if (rcond_plus_one == 1.0 || xisnan (rcon)) { info = -2; if (sing_handler) sing_handler (rcon); else gripe_singular_matrix (rcon); } } } } else (*current_liboctave_error_handler) ("incorrect matrix type"); } return retval; } ComplexMatrix ComplexMatrix::ltsolve (MatrixType &mattype, const ComplexMatrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, bool calc_cond, blas_trans_type transt) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != b.rows ()) (*current_liboctave_error_handler) ("matrix dimension mismatch solution of linear equations"); else if (nr == 0 || nc == 0 || b.cols () == 0) retval = ComplexMatrix (nc, b.cols (), Complex (0.0, 0.0)); else { volatile int typ = mattype.type (); if (typ == MatrixType::Permuted_Lower || typ == MatrixType::Lower) { octave_idx_type b_nc = b.cols (); rcon = 1.; info = 0; if (typ == MatrixType::Permuted_Lower) { (*current_liboctave_error_handler) ("permuted triangular matrix not implemented"); } else { const Complex *tmp_data = fortran_vec (); retval = b; Complex *result = retval.fortran_vec (); char uplo = 'L'; char trans = get_blas_char (transt); char dia = 'N'; F77_XFCN (ztrtrs, ZTRTRS, (F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&trans, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, b_nc, tmp_data, nr, result, nr, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (calc_cond) { char norm = '1'; uplo = 'L'; dia = 'N'; Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (ztrcon, ZTRCON, (F77_CONST_CHAR_ARG2 (&norm, 1), F77_CONST_CHAR_ARG2 (&uplo, 1), F77_CONST_CHAR_ARG2 (&dia, 1), nr, tmp_data, nr, rcon, pz, prz, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); if (info != 0) info = -2; volatile double rcond_plus_one = rcon + 1.0; if (rcond_plus_one == 1.0 || xisnan (rcon)) { info = -2; if (sing_handler) sing_handler (rcon); else gripe_singular_matrix (rcon); } } } } else (*current_liboctave_error_handler) ("incorrect matrix type"); } return retval; } ComplexMatrix ComplexMatrix::fsolve (MatrixType &mattype, const ComplexMatrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, bool calc_cond) const { ComplexMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr != nc || nr != b.rows ()) (*current_liboctave_error_handler) ("matrix dimension mismatch solution of linear equations"); else if (nr == 0 || b.cols () == 0) retval = ComplexMatrix (nc, b.cols (), Complex (0.0, 0.0)); else { volatile int typ = mattype.type (); // Calculate the norm of the matrix, for later use. double anorm = -1.; if (typ == MatrixType::Hermitian) { info = 0; char job = 'L'; ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); anorm = atmp.abs().sum().row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (zpotrf, ZPOTRF, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, info F77_CHAR_ARG_LEN (1))); // Throw-away extra info LAPACK gives so as to not change output. rcon = 0.0; if (info != 0) { info = -2; mattype.mark_as_unsymmetric (); typ = MatrixType::Full; } else { if (calc_cond) { Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (nc, 1)); double *prz = rz.fortran_vec (); F77_XFCN (zpocon, ZPOCON, (F77_CONST_CHAR_ARG2 (&job, 1), nr, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); if (info != 0) info = -2; volatile double rcond_plus_one = rcon + 1.0; if (rcond_plus_one == 1.0 || xisnan (rcon)) { info = -2; if (sing_handler) sing_handler (rcon); else gripe_singular_matrix (rcon); } } if (info == 0) { retval = b; Complex *result = retval.fortran_vec (); octave_idx_type b_nc = b.cols (); F77_XFCN (zpotrs, ZPOTRS, (F77_CONST_CHAR_ARG2 (&job, 1), nr, b_nc, tmp_data, nr, result, b.rows (), info F77_CHAR_ARG_LEN (1))); } else { mattype.mark_as_unsymmetric (); typ = MatrixType::Full; } } } if (typ == MatrixType::Full) { info = 0; Array<octave_idx_type> ipvt (dim_vector (nr, 1)); octave_idx_type *pipvt = ipvt.fortran_vec (); ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); Array<Complex> z (dim_vector (2 * nc, 1)); Complex *pz = z.fortran_vec (); Array<double> rz (dim_vector (2 * nc, 1)); double *prz = rz.fortran_vec (); // Calculate the norm of the matrix, for later use. if (anorm < 0.) anorm = atmp.abs ().sum ().row (static_cast<octave_idx_type>(0)) .max (); // Work around bug #45577, LAPACK crashes Octave if norm is NaN if (xisnan (anorm)) info = -2; else F77_XFCN (zgetrf, ZGETRF, (nr, nr, tmp_data, nr, pipvt, info)); // Throw-away extra info LAPACK gives so as to not change output. rcon = 0.0; if (info != 0) { info = -2; if (sing_handler) sing_handler (rcon); else gripe_singular_matrix (); mattype.mark_as_rectangular (); } else { if (calc_cond) { // Now calculate the condition number for // non-singular matrix. char job = '1'; F77_XFCN (zgecon, ZGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, rcon, pz, prz, info F77_CHAR_ARG_LEN (1))); if (info != 0) info = -2; volatile double rcond_plus_one = rcon + 1.0; if (rcond_plus_one == 1.0 || xisnan (rcon)) { info = -2; if (sing_handler) sing_handler (rcon); else gripe_singular_matrix (rcon); } } if (info == 0) { retval = b; Complex *result = retval.fortran_vec (); octave_idx_type b_nc = b.cols (); char job = 'N'; F77_XFCN (zgetrs, ZGETRS, (F77_CONST_CHAR_ARG2 (&job, 1), nr, b_nc, tmp_data, nr, pipvt, result, b.rows (), info F77_CHAR_ARG_LEN (1))); } else mattype.mark_as_rectangular (); } } } return retval; } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const Matrix& b) const { octave_idx_type info; double rcon; return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const Matrix& b, octave_idx_type& info) const { double rcon; return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const Matrix& b, octave_idx_type& info, double& rcon) const { return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const Matrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, bool singular_fallback, blas_trans_type transt) const { ComplexMatrix tmp (b); return solve (typ, tmp, info, rcon, sing_handler, singular_fallback, transt); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const ComplexMatrix& b) const { octave_idx_type info; double rcon; return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const ComplexMatrix& b, octave_idx_type& info) const { double rcon; return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &typ, const ComplexMatrix& b, octave_idx_type& info, double& rcon) const { return solve (typ, b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (MatrixType &mattype, const ComplexMatrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, bool singular_fallback, blas_trans_type transt) const { ComplexMatrix retval; int typ = mattype.type (); if (typ == MatrixType::Unknown) typ = mattype.type (*this); // Only calculate the condition number for LU/Cholesky if (typ == MatrixType::Upper || typ == MatrixType::Permuted_Upper) retval = utsolve (mattype, b, info, rcon, sing_handler, true, transt); else if (typ == MatrixType::Lower || typ == MatrixType::Permuted_Lower) retval = ltsolve (mattype, b, info, rcon, sing_handler, true, transt); else if (transt == blas_trans) return transpose ().solve (mattype, b, info, rcon, sing_handler, singular_fallback); else if (transt == blas_conj_trans) retval = hermitian ().solve (mattype, b, info, rcon, sing_handler, singular_fallback); else if (typ == MatrixType::Full || typ == MatrixType::Hermitian) retval = fsolve (mattype, b, info, rcon, sing_handler, true); else if (typ != MatrixType::Rectangular) { (*current_liboctave_error_handler) ("unknown matrix type"); return ComplexMatrix (); } // Rectangular or one of the above solvers flags a singular matrix if (singular_fallback && mattype.type () == MatrixType::Rectangular) { octave_idx_type rank; retval = lssolve (b, info, rank, rcon); } return retval; } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ColumnVector& b) const { octave_idx_type info; double rcon; return solve (typ, ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ColumnVector& b, octave_idx_type& info) const { double rcon; return solve (typ, ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ColumnVector& b, octave_idx_type& info, double& rcon) const { return solve (typ, ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ColumnVector& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { return solve (typ, ComplexColumnVector (b), info, rcon, sing_handler, transt); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ComplexColumnVector& b) const { octave_idx_type info; double rcon; return solve (typ, b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ComplexColumnVector& b, octave_idx_type& info) const { double rcon; return solve (typ, b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ComplexColumnVector& b, octave_idx_type& info, double& rcon) const { return solve (typ, b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (MatrixType &typ, const ComplexColumnVector& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { ComplexMatrix tmp (b); tmp = solve (typ, tmp, info, rcon, sing_handler, true, transt); return tmp.column (static_cast<octave_idx_type> (0)); } ComplexMatrix ComplexMatrix::solve (const Matrix& b) const { octave_idx_type info; double rcon; return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const Matrix& b, octave_idx_type& info) const { double rcon; return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const Matrix& b, octave_idx_type& info, double& rcon) const { return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const Matrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { ComplexMatrix tmp (b); return solve (tmp, info, rcon, sing_handler, transt); } ComplexMatrix ComplexMatrix::solve (const ComplexMatrix& b) const { octave_idx_type info; double rcon; return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const ComplexMatrix& b, octave_idx_type& info) const { double rcon; return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const ComplexMatrix& b, octave_idx_type& info, double& rcon) const { return solve (b, info, rcon, 0); } ComplexMatrix ComplexMatrix::solve (const ComplexMatrix& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { MatrixType mattype (*this); return solve (mattype, b, info, rcon, sing_handler, true, transt); } ComplexColumnVector ComplexMatrix::solve (const ColumnVector& b) const { octave_idx_type info; double rcon; return solve (ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ColumnVector& b, octave_idx_type& info) const { double rcon; return solve (ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ColumnVector& b, octave_idx_type& info, double& rcon) const { return solve (ComplexColumnVector (b), info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ColumnVector& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { return solve (ComplexColumnVector (b), info, rcon, sing_handler, transt); } ComplexColumnVector ComplexMatrix::solve (const ComplexColumnVector& b) const { octave_idx_type info; double rcon; return solve (b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ComplexColumnVector& b, octave_idx_type& info) const { double rcon; return solve (b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ComplexColumnVector& b, octave_idx_type& info, double& rcon) const { return solve (b, info, rcon, 0); } ComplexColumnVector ComplexMatrix::solve (const ComplexColumnVector& b, octave_idx_type& info, double& rcon, solve_singularity_handler sing_handler, blas_trans_type transt) const { MatrixType mattype (*this); return solve (mattype, b, info, rcon, sing_handler, transt); } ComplexMatrix ComplexMatrix::lssolve (const Matrix& b) const { octave_idx_type info; octave_idx_type rank; double rcon; return lssolve (ComplexMatrix (b), info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const Matrix& b, octave_idx_type& info) const { octave_idx_type rank; double rcon; return lssolve (ComplexMatrix (b), info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const Matrix& b, octave_idx_type& info, octave_idx_type& rank) const { double rcon; return lssolve (ComplexMatrix (b), info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const Matrix& b, octave_idx_type& info, octave_idx_type& rank, double& rcon) const { return lssolve (ComplexMatrix (b), info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const ComplexMatrix& b) const { octave_idx_type info; octave_idx_type rank; double rcon; return lssolve (b, info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const ComplexMatrix& b, octave_idx_type& info) const { octave_idx_type rank; double rcon; return lssolve (b, info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const ComplexMatrix& b, octave_idx_type& info, octave_idx_type& rank) const { double rcon; return lssolve (b, info, rank, rcon); } ComplexMatrix ComplexMatrix::lssolve (const ComplexMatrix& b, octave_idx_type& info, octave_idx_type& rank, double& rcon) const { ComplexMatrix retval; octave_idx_type nrhs = b.cols (); octave_idx_type m = rows (); octave_idx_type n = cols (); if (m != b.rows ()) (*current_liboctave_error_handler) ("matrix dimension mismatch solution of linear equations"); else if (m== 0 || n == 0 || b.cols () == 0) retval = ComplexMatrix (n, b.cols (), Complex (0.0, 0.0)); else { volatile octave_idx_type minmn = (m < n ? m : n); octave_idx_type maxmn = m > n ? m : n; rcon = -1.0; if (m != n) { retval = ComplexMatrix (maxmn, nrhs); for (octave_idx_type j = 0; j < nrhs; j++) for (octave_idx_type i = 0; i < m; i++) retval.elem (i, j) = b.elem (i, j); } else retval = b; ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); Complex *pretval = retval.fortran_vec (); Array<double> s (dim_vector (minmn, 1)); double *ps = s.fortran_vec (); // Ask ZGELSD what the dimension of WORK should be. octave_idx_type lwork = -1; Array<Complex> work (dim_vector (1, 1)); octave_idx_type smlsiz; F77_FUNC (xilaenv, XILAENV) (9, F77_CONST_CHAR_ARG2 ("ZGELSD", 6), F77_CONST_CHAR_ARG2 (" ", 1), 0, 0, 0, 0, smlsiz F77_CHAR_ARG_LEN (6) F77_CHAR_ARG_LEN (1)); octave_idx_type mnthr; F77_FUNC (xilaenv, XILAENV) (6, F77_CONST_CHAR_ARG2 ("ZGELSD", 6), F77_CONST_CHAR_ARG2 (" ", 1), m, n, nrhs, -1, mnthr F77_CHAR_ARG_LEN (6) F77_CHAR_ARG_LEN (1)); // We compute the size of rwork and iwork because ZGELSD in // older versions of LAPACK does not return them on a query // call. double dminmn = static_cast<double> (minmn); double dsmlsizp1 = static_cast<double> (smlsiz+1); double tmp = xlog2 (dminmn / dsmlsizp1); octave_idx_type nlvl = static_cast<octave_idx_type> (tmp) + 1; if (nlvl < 0) nlvl = 0; octave_idx_type lrwork = minmn*(10 + 2*smlsiz + 8*nlvl) + 3*smlsiz*nrhs + std::max ((smlsiz+1)*(smlsiz+1), n*(1+nrhs) + 2*nrhs); if (lrwork < 1) lrwork = 1; Array<double> rwork (dim_vector (lrwork, 1)); double *prwork = rwork.fortran_vec (); octave_idx_type liwork = 3 * minmn * nlvl + 11 * minmn; if (liwork < 1) liwork = 1; Array<octave_idx_type> iwork (dim_vector (liwork, 1)); octave_idx_type* piwork = iwork.fortran_vec (); F77_XFCN (zgelsd, ZGELSD, (m, n, nrhs, tmp_data, m, pretval, maxmn, ps, rcon, rank, work.fortran_vec (), lwork, prwork, piwork, info)); // The workspace query is broken in at least LAPACK 3.0.0 // through 3.1.1 when n >= mnthr. The obtuse formula below // should provide sufficient workspace for ZGELSD to operate // efficiently. if (n > m && n >= mnthr) { octave_idx_type addend = m; if (2*m-4 > addend) addend = 2*m-4; if (nrhs > addend) addend = nrhs; if (n-3*m > addend) addend = n-3*m; const octave_idx_type lworkaround = 4*m + m*m + addend; if (std::real (work(0)) < lworkaround) work(0) = lworkaround; } else if (m >= n) { octave_idx_type lworkaround = 2*m + m*nrhs; if (std::real (work(0)) < lworkaround) work(0) = lworkaround; } lwork = static_cast<octave_idx_type> (std::real (work(0))); work.resize (dim_vector (lwork, 1)); F77_XFCN (zgelsd, ZGELSD, (m, n, nrhs, tmp_data, m, pretval, maxmn, ps, rcon, rank, work.fortran_vec (), lwork, prwork, piwork, info)); if (s.elem (0) == 0.0) rcon = 0.0; else rcon = s.elem (minmn - 1) / s.elem (0); retval.resize (n, nrhs); } return retval; } ComplexColumnVector ComplexMatrix::lssolve (const ColumnVector& b) const { octave_idx_type info; octave_idx_type rank; double rcon; return lssolve (ComplexColumnVector (b), info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ColumnVector& b, octave_idx_type& info) const { octave_idx_type rank; double rcon; return lssolve (ComplexColumnVector (b), info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ColumnVector& b, octave_idx_type& info, octave_idx_type& rank) const { double rcon; return lssolve (ComplexColumnVector (b), info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ColumnVector& b, octave_idx_type& info, octave_idx_type& rank, double& rcon) const { return lssolve (ComplexColumnVector (b), info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ComplexColumnVector& b) const { octave_idx_type info; octave_idx_type rank; double rcon; return lssolve (b, info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ComplexColumnVector& b, octave_idx_type& info) const { octave_idx_type rank; double rcon; return lssolve (b, info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ComplexColumnVector& b, octave_idx_type& info, octave_idx_type& rank) const { double rcon; return lssolve (b, info, rank, rcon); } ComplexColumnVector ComplexMatrix::lssolve (const ComplexColumnVector& b, octave_idx_type& info, octave_idx_type& rank, double& rcon) const { ComplexColumnVector retval; octave_idx_type nrhs = 1; octave_idx_type m = rows (); octave_idx_type n = cols (); if (m != b.length ()) (*current_liboctave_error_handler) ("matrix dimension mismatch solution of linear equations"); else if (m == 0 || n == 0 || b.cols () == 0) retval = ComplexColumnVector (n, Complex (0.0, 0.0)); else { volatile octave_idx_type minmn = (m < n ? m : n); octave_idx_type maxmn = m > n ? m : n; rcon = -1.0; if (m != n) { retval = ComplexColumnVector (maxmn); for (octave_idx_type i = 0; i < m; i++) retval.elem (i) = b.elem (i); } else retval = b; ComplexMatrix atmp = *this; Complex *tmp_data = atmp.fortran_vec (); Complex *pretval = retval.fortran_vec (); Array<double> s (dim_vector (minmn, 1)); double *ps = s.fortran_vec (); // Ask ZGELSD what the dimension of WORK should be. octave_idx_type lwork = -1; Array<Complex> work (dim_vector (1, 1)); octave_idx_type smlsiz; F77_FUNC (xilaenv, XILAENV) (9, F77_CONST_CHAR_ARG2 ("ZGELSD", 6), F77_CONST_CHAR_ARG2 (" ", 1), 0, 0, 0, 0, smlsiz F77_CHAR_ARG_LEN (6) F77_CHAR_ARG_LEN (1)); // We compute the size of rwork and iwork because ZGELSD in // older versions of LAPACK does not return them on a query // call. double dminmn = static_cast<double> (minmn); double dsmlsizp1 = static_cast<double> (smlsiz+1); double tmp = xlog2 (dminmn / dsmlsizp1); octave_idx_type nlvl = static_cast<octave_idx_type> (tmp) + 1; if (nlvl < 0) nlvl = 0; octave_idx_type lrwork = minmn*(10 + 2*smlsiz + 8*nlvl) + 3*smlsiz*nrhs + (smlsiz+1)*(smlsiz+1); if (lrwork < 1) lrwork = 1; Array<double> rwork (dim_vector (lrwork, 1)); double *prwork = rwork.fortran_vec (); octave_idx_type liwork = 3 * minmn * nlvl + 11 * minmn; if (liwork < 1) liwork = 1; Array<octave_idx_type> iwork (dim_vector (liwork, 1)); octave_idx_type* piwork = iwork.fortran_vec (); F77_XFCN (zgelsd, ZGELSD, (m, n, nrhs, tmp_data, m, pretval, maxmn, ps, rcon, rank, work.fortran_vec (), lwork, prwork, piwork, info)); lwork = static_cast<octave_idx_type> (std::real (work(0))); work.resize (dim_vector (lwork, 1)); rwork.resize (dim_vector (static_cast<octave_idx_type> (rwork(0)), 1)); iwork.resize (dim_vector (iwork(0), 1)); F77_XFCN (zgelsd, ZGELSD, (m, n, nrhs, tmp_data, m, pretval, maxmn, ps, rcon, rank, work.fortran_vec (), lwork, prwork, piwork, info)); if (rank < minmn) { if (s.elem (0) == 0.0) rcon = 0.0; else rcon = s.elem (minmn - 1) / s.elem (0); retval.resize (n, nrhs); } } return retval; } // column vector by row vector -> matrix operations ComplexMatrix operator * (const ColumnVector& v, const ComplexRowVector& a) { ComplexColumnVector tmp (v); return tmp * a; } ComplexMatrix operator * (const ComplexColumnVector& a, const RowVector& b) { ComplexRowVector tmp (b); return a * tmp; } ComplexMatrix operator * (const ComplexColumnVector& v, const ComplexRowVector& a) { ComplexMatrix retval; octave_idx_type len = v.length (); if (len != 0) { octave_idx_type a_len = a.length (); retval = ComplexMatrix (len, a_len); Complex *c = retval.fortran_vec (); F77_XFCN (zgemm, ZGEMM, (F77_CONST_CHAR_ARG2 ("N", 1), F77_CONST_CHAR_ARG2 ("N", 1), len, a_len, 1, 1.0, v.data (), len, a.data (), 1, 0.0, c, len F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); } return retval; } // matrix by diagonal matrix -> matrix operations ComplexMatrix& ComplexMatrix::operator += (const DiagMatrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = rows (); octave_idx_type a_nc = cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator +=", nr, nc, a_nr, a_nc); return *this; } for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) += a.elem (i, i); return *this; } ComplexMatrix& ComplexMatrix::operator -= (const DiagMatrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = rows (); octave_idx_type a_nc = cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator -=", nr, nc, a_nr, a_nc); return *this; } for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) -= a.elem (i, i); return *this; } ComplexMatrix& ComplexMatrix::operator += (const ComplexDiagMatrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = rows (); octave_idx_type a_nc = cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator +=", nr, nc, a_nr, a_nc); return *this; } for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) += a.elem (i, i); return *this; } ComplexMatrix& ComplexMatrix::operator -= (const ComplexDiagMatrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = rows (); octave_idx_type a_nc = cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator -=", nr, nc, a_nr, a_nc); return *this; } for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) -= a.elem (i, i); return *this; } // matrix by matrix -> matrix operations ComplexMatrix& ComplexMatrix::operator += (const Matrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = a.rows (); octave_idx_type a_nc = a.cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator +=", nr, nc, a_nr, a_nc); return *this; } if (nr == 0 || nc == 0) return *this; Complex *d = fortran_vec (); // Ensures only one reference to my privates! mx_inline_add2 (length (), d, a.data ()); return *this; } ComplexMatrix& ComplexMatrix::operator -= (const Matrix& a) { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type a_nr = a.rows (); octave_idx_type a_nc = a.cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator -=", nr, nc, a_nr, a_nc); return *this; } if (nr == 0 || nc == 0) return *this; Complex *d = fortran_vec (); // Ensures only one reference to my privates! mx_inline_sub2 (length (), d, a.data ()); return *this; } // other operations boolMatrix ComplexMatrix::all (int dim) const { return ComplexNDArray::all (dim); } boolMatrix ComplexMatrix::any (int dim) const { return ComplexNDArray::any (dim); } ComplexMatrix ComplexMatrix::cumprod (int dim) const { return ComplexNDArray::cumprod (dim); } ComplexMatrix ComplexMatrix::cumsum (int dim) const { return ComplexNDArray::cumsum (dim); } ComplexMatrix ComplexMatrix::prod (int dim) const { return ComplexNDArray::prod (dim); } ComplexMatrix ComplexMatrix::sum (int dim) const { return ComplexNDArray::sum (dim); } ComplexMatrix ComplexMatrix::sumsq (int dim) const { return ComplexNDArray::sumsq (dim); } Matrix ComplexMatrix::abs (void) const { return ComplexNDArray::abs (); } ComplexMatrix ComplexMatrix::diag (octave_idx_type k) const { return ComplexNDArray::diag (k); } ComplexDiagMatrix ComplexMatrix::diag (octave_idx_type m, octave_idx_type n) const { ComplexDiagMatrix retval; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr == 1 || nc == 1) retval = ComplexDiagMatrix (*this, m, n); else (*current_liboctave_error_handler) ("diag: expecting vector argument"); return retval; } bool ComplexMatrix::row_is_real_only (octave_idx_type i) const { bool retval = true; octave_idx_type nc = columns (); for (octave_idx_type j = 0; j < nc; j++) { if (std::imag (elem (i, j)) != 0.0) { retval = false; break; } } return retval; } bool ComplexMatrix::column_is_real_only (octave_idx_type j) const { bool retval = true; octave_idx_type nr = rows (); for (octave_idx_type i = 0; i < nr; i++) { if (std::imag (elem (i, j)) != 0.0) { retval = false; break; } } return retval; } ComplexColumnVector ComplexMatrix::row_min (void) const { Array<octave_idx_type> dummy_idx; return row_min (dummy_idx); } ComplexColumnVector ComplexMatrix::row_min (Array<octave_idx_type>& idx_arg) const { ComplexColumnVector result; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nr); idx_arg.resize (dim_vector (nr, 1)); for (octave_idx_type i = 0; i < nr; i++) { bool real_only = row_is_real_only (i); octave_idx_type idx_j; Complex tmp_min; double abs_min = octave_NaN; for (idx_j = 0; idx_j < nc; idx_j++) { tmp_min = elem (i, idx_j); if (! xisnan (tmp_min)) { abs_min = real_only ? std::real (tmp_min) : std::abs (tmp_min); break; } } for (octave_idx_type j = idx_j+1; j < nc; j++) { Complex tmp = elem (i, j); if (xisnan (tmp)) continue; double abs_tmp = real_only ? std::real (tmp) : std::abs (tmp); if (abs_tmp < abs_min) { idx_j = j; tmp_min = tmp; abs_min = abs_tmp; } } if (xisnan (tmp_min)) { result.elem (i) = Complex_NaN_result; idx_arg.elem (i) = 0; } else { result.elem (i) = tmp_min; idx_arg.elem (i) = idx_j; } } } return result; } ComplexColumnVector ComplexMatrix::row_max (void) const { Array<octave_idx_type> dummy_idx; return row_max (dummy_idx); } ComplexColumnVector ComplexMatrix::row_max (Array<octave_idx_type>& idx_arg) const { ComplexColumnVector result; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nr); idx_arg.resize (dim_vector (nr, 1)); for (octave_idx_type i = 0; i < nr; i++) { bool real_only = row_is_real_only (i); octave_idx_type idx_j; Complex tmp_max; double abs_max = octave_NaN; for (idx_j = 0; idx_j < nc; idx_j++) { tmp_max = elem (i, idx_j); if (! xisnan (tmp_max)) { abs_max = real_only ? std::real (tmp_max) : std::abs (tmp_max); break; } } for (octave_idx_type j = idx_j+1; j < nc; j++) { Complex tmp = elem (i, j); if (xisnan (tmp)) continue; double abs_tmp = real_only ? std::real (tmp) : std::abs (tmp); if (abs_tmp > abs_max) { idx_j = j; tmp_max = tmp; abs_max = abs_tmp; } } if (xisnan (tmp_max)) { result.elem (i) = Complex_NaN_result; idx_arg.elem (i) = 0; } else { result.elem (i) = tmp_max; idx_arg.elem (i) = idx_j; } } } return result; } ComplexRowVector ComplexMatrix::column_min (void) const { Array<octave_idx_type> dummy_idx; return column_min (dummy_idx); } ComplexRowVector ComplexMatrix::column_min (Array<octave_idx_type>& idx_arg) const { ComplexRowVector result; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nc); idx_arg.resize (dim_vector (1, nc)); for (octave_idx_type j = 0; j < nc; j++) { bool real_only = column_is_real_only (j); octave_idx_type idx_i; Complex tmp_min; double abs_min = octave_NaN; for (idx_i = 0; idx_i < nr; idx_i++) { tmp_min = elem (idx_i, j); if (! xisnan (tmp_min)) { abs_min = real_only ? std::real (tmp_min) : std::abs (tmp_min); break; } } for (octave_idx_type i = idx_i+1; i < nr; i++) { Complex tmp = elem (i, j); if (xisnan (tmp)) continue; double abs_tmp = real_only ? std::real (tmp) : std::abs (tmp); if (abs_tmp < abs_min) { idx_i = i; tmp_min = tmp; abs_min = abs_tmp; } } if (xisnan (tmp_min)) { result.elem (j) = Complex_NaN_result; idx_arg.elem (j) = 0; } else { result.elem (j) = tmp_min; idx_arg.elem (j) = idx_i; } } } return result; } ComplexRowVector ComplexMatrix::column_max (void) const { Array<octave_idx_type> dummy_idx; return column_max (dummy_idx); } ComplexRowVector ComplexMatrix::column_max (Array<octave_idx_type>& idx_arg) const { ComplexRowVector result; octave_idx_type nr = rows (); octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nc); idx_arg.resize (dim_vector (1, nc)); for (octave_idx_type j = 0; j < nc; j++) { bool real_only = column_is_real_only (j); octave_idx_type idx_i; Complex tmp_max; double abs_max = octave_NaN; for (idx_i = 0; idx_i < nr; idx_i++) { tmp_max = elem (idx_i, j); if (! xisnan (tmp_max)) { abs_max = real_only ? std::real (tmp_max) : std::abs (tmp_max); break; } } for (octave_idx_type i = idx_i+1; i < nr; i++) { Complex tmp = elem (i, j); if (xisnan (tmp)) continue; double abs_tmp = real_only ? std::real (tmp) : std::abs (tmp); if (abs_tmp > abs_max) { idx_i = i; tmp_max = tmp; abs_max = abs_tmp; } } if (xisnan (tmp_max)) { result.elem (j) = Complex_NaN_result; idx_arg.elem (j) = 0; } else { result.elem (j) = tmp_max; idx_arg.elem (j) = idx_i; } } } return result; } // i/o std::ostream& operator << (std::ostream& os, const ComplexMatrix& a) { for (octave_idx_type i = 0; i < a.rows (); i++) { for (octave_idx_type j = 0; j < a.cols (); j++) { os << " "; octave_write_complex (os, a.elem (i, j)); } os << "\n"; } return os; } std::istream& operator >> (std::istream& is, ComplexMatrix& a) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr > 0 && nc > 0) { Complex tmp; for (octave_idx_type i = 0; i < nr; i++) for (octave_idx_type j = 0; j < nc; j++) { tmp = octave_read_value<Complex> (is); if (is) a.elem (i, j) = tmp; else goto done; } } done: return is; } ComplexMatrix Givens (const Complex& x, const Complex& y) { double cc; Complex cs, temp_r; F77_FUNC (zlartg, ZLARTG) (x, y, cc, cs, temp_r); ComplexMatrix g (2, 2); g.elem (0, 0) = cc; g.elem (1, 1) = cc; g.elem (0, 1) = cs; g.elem (1, 0) = -conj (cs); return g; } ComplexMatrix Sylvester (const ComplexMatrix& a, const ComplexMatrix& b, const ComplexMatrix& c) { ComplexMatrix retval; // FIXME: need to check that a, b, and c are all the same size. // Compute Schur decompositions ComplexSCHUR as (a, "U"); ComplexSCHUR bs (b, "U"); // Transform c to new coordinates. ComplexMatrix ua = as.unitary_matrix (); ComplexMatrix sch_a = as.schur_matrix (); ComplexMatrix ub = bs.unitary_matrix (); ComplexMatrix sch_b = bs.schur_matrix (); ComplexMatrix cx = ua.hermitian () * c * ub; // Solve the sylvester equation, back-transform, and return the solution. octave_idx_type a_nr = a.rows (); octave_idx_type b_nr = b.rows (); double scale; octave_idx_type info; Complex *pa = sch_a.fortran_vec (); Complex *pb = sch_b.fortran_vec (); Complex *px = cx.fortran_vec (); F77_XFCN (ztrsyl, ZTRSYL, (F77_CONST_CHAR_ARG2 ("N", 1), F77_CONST_CHAR_ARG2 ("N", 1), 1, a_nr, b_nr, pa, a_nr, pb, b_nr, px, a_nr, scale, info F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); // FIXME: check info? retval = ua * cx * ub.hermitian (); return retval; } ComplexMatrix operator * (const ComplexMatrix& m, const Matrix& a) { if (m.columns () > std::min (m.rows (), a.columns ()) / 10) return ComplexMatrix (real (m) * a, imag (m) * a); else return m * ComplexMatrix (a); } ComplexMatrix operator * (const Matrix& m, const ComplexMatrix& a) { if (a.rows () > std::min (m.rows (), a.columns ()) / 10) return ComplexMatrix (m * real (a), m * imag (a)); else return ComplexMatrix (m) * a; } /* ## Simple Dot Product, Matrix-Vector, and Matrix-Matrix Unit tests %!assert ([1+i 2+i 3+i] * [ 4+i ; 5+i ; 6+i], 29+21i, 1e-14) %!assert ([1+i 2+i ; 3+i 4+i ] * [5+i ; 6+i], [15 + 14i ; 37 + 18i], 1e-14) %!assert ([1+i 2+i ; 3+i 4+i ] * [5+i 6+i ; 7+i 8+i], [17 + 15i 20 + 17i; 41 + 19i 48 + 21i], 1e-14) %!assert ([1 i]*[i 0]', -i); ## Test some simple identities %!shared M, cv, rv %! M = randn (10,10) + i*rand (10,10); %! cv = randn (10,1) + i*rand (10,1); %! rv = randn (1,10) + i*rand (1,10); %!assert ([M*cv,M*cv], M*[cv,cv], 1e-14) %!assert ([M.'*cv,M.'*cv], M.'*[cv,cv], 1e-14) %!assert ([M'*cv,M'*cv], M'*[cv,cv], 1e-14) %!assert ([rv*M;rv*M], [rv;rv]*M, 1e-14) %!assert ([rv*M.';rv*M.'], [rv;rv]*M.', 1e-14) %!assert ([rv*M';rv*M'], [rv;rv]*M', 1e-14) %!assert (2*rv*cv, [rv,rv]*[cv;cv], 1e-14) */ static inline char get_blas_trans_arg (bool trans, bool conj) { return trans ? (conj ? 'C' : 'T') : 'N'; } // the general GEMM operation ComplexMatrix xgemm (const ComplexMatrix& a, const ComplexMatrix& b, blas_trans_type transa, blas_trans_type transb) { ComplexMatrix retval; bool tra = transa != blas_no_trans; bool trb = transb != blas_no_trans; bool cja = transa == blas_conj_trans; bool cjb = transb == blas_conj_trans; octave_idx_type a_nr = tra ? a.cols () : a.rows (); octave_idx_type a_nc = tra ? a.rows () : a.cols (); octave_idx_type b_nr = trb ? b.cols () : b.rows (); octave_idx_type b_nc = trb ? b.rows () : b.cols (); if (a_nc != b_nr) gripe_nonconformant ("operator *", a_nr, a_nc, b_nr, b_nc); else { if (a_nr == 0 || a_nc == 0 || b_nc == 0) retval = ComplexMatrix (a_nr, b_nc, 0.0); else if (a.data () == b.data () && a_nr == b_nc && tra != trb) { octave_idx_type lda = a.rows (); // FIXME: looking at the reference BLAS, it appears that it // should not be necessary to initialize the output matrix if // BETA is 0 in the call to ZHERK, but ATLAS appears to // use the result matrix before zeroing the elements. retval = ComplexMatrix (a_nr, b_nc, 0.0); Complex *c = retval.fortran_vec (); const char ctra = get_blas_trans_arg (tra, cja); if (cja || cjb) { F77_XFCN (zherk, ZHERK, (F77_CONST_CHAR_ARG2 ("U", 1), F77_CONST_CHAR_ARG2 (&ctra, 1), a_nr, a_nc, 1.0, a.data (), lda, 0.0, c, a_nr F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); for (octave_idx_type j = 0; j < a_nr; j++) for (octave_idx_type i = 0; i < j; i++) retval.xelem (j,i) = std::conj (retval.xelem (i,j)); } else { F77_XFCN (zsyrk, ZSYRK, (F77_CONST_CHAR_ARG2 ("U", 1), F77_CONST_CHAR_ARG2 (&ctra, 1), a_nr, a_nc, 1.0, a.data (), lda, 0.0, c, a_nr F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); for (octave_idx_type j = 0; j < a_nr; j++) for (octave_idx_type i = 0; i < j; i++) retval.xelem (j,i) = retval.xelem (i,j); } } else { octave_idx_type lda = a.rows (); octave_idx_type tda = a.cols (); octave_idx_type ldb = b.rows (); octave_idx_type tdb = b.cols (); retval = ComplexMatrix (a_nr, b_nc, 0.0); Complex *c = retval.fortran_vec (); if (b_nc == 1 && a_nr == 1) { if (cja == cjb) { F77_FUNC (xzdotu, XZDOTU) (a_nc, a.data (), 1, b.data (), 1, *c); if (cja) *c = std::conj (*c); } else if (cja) F77_FUNC (xzdotc, XZDOTC) (a_nc, a.data (), 1, b.data (), 1, *c); else F77_FUNC (xzdotc, XZDOTC) (a_nc, b.data (), 1, a.data (), 1, *c); } else if (b_nc == 1 && ! cjb) { const char ctra = get_blas_trans_arg (tra, cja); F77_XFCN (zgemv, ZGEMV, (F77_CONST_CHAR_ARG2 (&ctra, 1), lda, tda, 1.0, a.data (), lda, b.data (), 1, 0.0, c, 1 F77_CHAR_ARG_LEN (1))); } else if (a_nr == 1 && ! cja && ! cjb) { const char crevtrb = get_blas_trans_arg (! trb, cjb); F77_XFCN (zgemv, ZGEMV, (F77_CONST_CHAR_ARG2 (&crevtrb, 1), ldb, tdb, 1.0, b.data (), ldb, a.data (), 1, 0.0, c, 1 F77_CHAR_ARG_LEN (1))); } else { const char ctra = get_blas_trans_arg (tra, cja); const char ctrb = get_blas_trans_arg (trb, cjb); F77_XFCN (zgemm, ZGEMM, (F77_CONST_CHAR_ARG2 (&ctra, 1), F77_CONST_CHAR_ARG2 (&ctrb, 1), a_nr, b_nc, a_nc, 1.0, a.data (), lda, b.data (), ldb, 0.0, c, a_nr F77_CHAR_ARG_LEN (1) F77_CHAR_ARG_LEN (1))); } } } return retval; } ComplexMatrix operator * (const ComplexMatrix& a, const ComplexMatrix& b) { return xgemm (a, b); } // FIXME: it would be nice to share code among the min/max functions below. #define EMPTY_RETURN_CHECK(T) \ if (nr == 0 || nc == 0) \ return T (nr, nc); ComplexMatrix min (const Complex& c, const ComplexMatrix& m) { octave_idx_type nr = m.rows (); octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmin (c, m(i, j)); } return result; } ComplexMatrix min (const ComplexMatrix& m, const Complex& c) { octave_idx_type nr = m.rows (); octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmin (m(i, j), c); } return result; } ComplexMatrix min (const ComplexMatrix& a, const ComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.columns (); if (nr != b.rows () || nc != b.columns ()) { (*current_liboctave_error_handler) ("two-arg min expecting args of same size"); return ComplexMatrix (); } EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { int columns_are_real_only = 1; for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); if (std::imag (a(i, j)) != 0.0 || std::imag (b(i, j)) != 0.0) { columns_are_real_only = 0; break; } } if (columns_are_real_only) { for (octave_idx_type i = 0; i < nr; i++) result(i, j) = xmin (std::real (a(i, j)), std::real (b(i, j))); } else { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmin (a(i, j), b(i, j)); } } } return result; } ComplexMatrix max (const Complex& c, const ComplexMatrix& m) { octave_idx_type nr = m.rows (); octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmax (c, m(i, j)); } return result; } ComplexMatrix max (const ComplexMatrix& m, const Complex& c) { octave_idx_type nr = m.rows (); octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmax (m(i, j), c); } return result; } ComplexMatrix max (const ComplexMatrix& a, const ComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.columns (); if (nr != b.rows () || nc != b.columns ()) { (*current_liboctave_error_handler) ("two-arg max expecting args of same size"); return ComplexMatrix (); } EMPTY_RETURN_CHECK (ComplexMatrix); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { int columns_are_real_only = 1; for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); if (std::imag (a(i, j)) != 0.0 || std::imag (b(i, j)) != 0.0) { columns_are_real_only = 0; break; } } if (columns_are_real_only) { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmax (std::real (a(i, j)), std::real (b(i, j))); } } else { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = xmax (a(i, j), b(i, j)); } } } return result; } ComplexMatrix linspace (const ComplexColumnVector& x1, const ComplexColumnVector& x2, octave_idx_type n) { if (n < 1) n = 1; octave_idx_type m = x1.length (); if (x2.length () != m) (*current_liboctave_error_handler) ("linspace: vectors must be of equal length"); NoAlias<ComplexMatrix> retval; retval.clear (m, n); for (octave_idx_type i = 0; i < m; i++) retval(i, 0) = x1(i); // The last column is not needed while using delta. Complex *delta = &retval(0, n-1); for (octave_idx_type i = 0; i < m; i++) delta[i] = (x2(i) - x1(i)) / (n - 1.0); for (octave_idx_type j = 1; j < n-1; j++) for (octave_idx_type i = 0; i < m; i++) retval(i, j) = x1(i) + static_cast<double> (j)*delta[i]; for (octave_idx_type i = 0; i < m; i++) retval(i, n-1) = x2(i); return retval; } MS_CMP_OPS (ComplexMatrix, Complex) MS_BOOL_OPS (ComplexMatrix, Complex) SM_CMP_OPS (Complex, ComplexMatrix) SM_BOOL_OPS (Complex, ComplexMatrix) MM_CMP_OPS (ComplexMatrix, ComplexMatrix) MM_BOOL_OPS (ComplexMatrix, ComplexMatrix)