Mercurial > hg > octave-nkf
diff liboctave/chMatrix.cc @ 1573:403c60daa8c7
[project @ 1995-10-19 04:34:20 by jwe]
Initial revision
author | jwe |
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date | Thu, 19 Oct 1995 04:34:20 +0000 |
parents | |
children | 42b4f904f1af |
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new file mode 100644 --- /dev/null +++ b/liboctave/chMatrix.cc @@ -0,0 +1,2347 @@ +// Matrix manipulations. -*- C++ -*- +/* + +Copyright (C) 1992, 1993, 1994, 1995 John W. Eaton + +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 2, 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, write to the Free +Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. + +*/ + +#if defined (__GNUG__) +#pragma implementation +#endif + +#ifdef HAVE_CONFIG_H +#include <config.h> +#endif + +#include <cstdio> +#include <cstring> + +#include <iostream.h> + +// #include <sys/types.h> // XXX FIXME XXX + +#include "lo-error.h" +#include "mx-base.h" +#include "mx-inlines.cc" + +// charMatrix class. + +charMatrix::charMatrix (const char *s) + : MArray2<char> ((s ? 1 : 0), (s ? strlen (s) : 0)) +{ + int nc = cols (); + for (int i = 0; i < nc; i++) + elem (0, i) = s[i]; +} + +int +charMatrix::operator == (const charMatrix& a) const +{ + if (rows () != a.rows () || cols () != a.cols ()) + return 0; + + return equal (data (), a.data (), length ()); +} + +int +charMatrix::operator != (const charMatrix& a) const +{ + return !(*this == a); +} + +charMatrix& +charMatrix::insert (const char *s, int r, int c) +{ + if (s) + { + int s_len = strlen (s); + + if (r < 0 || r >= rows () || c < 0 || c + s_len - 1 > cols ()) + { + (*current_liboctave_error_handler) ("range error for insert"); + return *this; + } + + for (int i = 0; i < s_len; i++) + elem (r, c+i) = s[i]; + } + return *this; +} + +charMatrix& +charMatrix::insert (const charMatrix& a, int r, int c) +{ + Array2<char>::insert (a, r, c); + return *this; +} + +char * +charMatrix::row_as_string (int r) const +{ + if (r < 0 || r >= rows ()) + { + (*current_liboctave_error_handler) ("range error for row_as_string"); + return 0; + } + + int nc = cols (); + + char *retval = new char [nc + 1]; + + retval[nc] = '\0'; + + for (int i = 0; i < nc; i++) + retval[i] = elem (r, i); + + return retval; +} + +#if 0 +Matrix& +Matrix::insert (const RowVector& a, int r, int c) +{ + int a_len = a.length (); + if (r < 0 || r >= rows () || c < 0 || c + a_len - 1 > cols ()) + { + (*current_liboctave_error_handler) ("range error for insert"); + return *this; + } + + for (int i = 0; i < a_len; i++) + elem (r, c+i) = a.elem (i); + + return *this; +} + +Matrix& +Matrix::insert (const ColumnVector& a, int r, int c) +{ + int a_len = a.length (); + if (r < 0 || r + a_len - 1 > rows () || c < 0 || c >= cols ()) + { + (*current_liboctave_error_handler) ("range error for insert"); + return *this; + } + + for (int i = 0; i < a_len; i++) + elem (r+i, c) = a.elem (i); + + return *this; +} + +Matrix& +Matrix::insert (const DiagMatrix& a, int r, int c) +{ + if (r < 0 || r + a.rows () - 1 > rows () + || c < 0 || c + a.cols () - 1 > cols ()) + { + (*current_liboctave_error_handler) ("range error for insert"); + return *this; + } + + for (int i = 0; i < a.length (); i++) + elem (r+i, c+i) = a.elem (i, i); + + return *this; +} + +Matrix& +Matrix::fill (double val) +{ + int nr = rows (); + int nc = cols (); + if (nr > 0 && nc > 0) + for (int j = 0; j < nc; j++) + for (int i = 0; i < nr; i++) + elem (i, j) = val; + + return *this; +} + +Matrix& +Matrix::fill (double val, int r1, int c1, int r2, int c2) +{ + int nr = rows (); + int 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) { int tmp = r1; r1 = r2; r2 = tmp; } + if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } + + for (int j = c1; j <= c2; j++) + for (int i = r1; i <= r2; i++) + elem (i, j) = val; + + return *this; +} + +Matrix +Matrix::append (const Matrix& a) const +{ + int nr = rows (); + int nc = cols (); + if (nr != a.rows ()) + { + (*current_liboctave_error_handler) ("row dimension mismatch for append"); + return Matrix (); + } + + int nc_insert = nc; + Matrix retval (nr, nc + a.cols ()); + retval.insert (*this, 0, 0); + retval.insert (a, 0, nc_insert); + return retval; +} + +Matrix +Matrix::append (const RowVector& a) const +{ + int nr = rows (); + int nc = cols (); + if (nr != 1) + { + (*current_liboctave_error_handler) ("row dimension mismatch for append"); + return Matrix (); + } + + int nc_insert = nc; + Matrix retval (nr, nc + a.length ()); + retval.insert (*this, 0, 0); + retval.insert (a, 0, nc_insert); + return retval; +} + +Matrix +Matrix::append (const ColumnVector& a) const +{ + int nr = rows (); + int nc = cols (); + if (nr != a.length ()) + { + (*current_liboctave_error_handler) ("row dimension mismatch for append"); + return Matrix (); + } + + int nc_insert = nc; + Matrix retval (nr, nc + 1); + retval.insert (*this, 0, 0); + retval.insert (a, 0, nc_insert); + return retval; +} + +Matrix +Matrix::append (const DiagMatrix& a) const +{ + int nr = rows (); + int nc = cols (); + if (nr != a.rows ()) + { + (*current_liboctave_error_handler) ("row dimension mismatch for append"); + return *this; + } + + int nc_insert = nc; + Matrix retval (nr, nc + a.cols ()); + retval.insert (*this, 0, 0); + retval.insert (a, 0, nc_insert); + return retval; +} + +Matrix +Matrix::stack (const Matrix& a) const +{ + int nr = rows (); + int nc = cols (); + if (nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("column dimension mismatch for stack"); + return Matrix (); + } + + int nr_insert = nr; + Matrix retval (nr + a.rows (), nc); + retval.insert (*this, 0, 0); + retval.insert (a, nr_insert, 0); + return retval; +} + +Matrix +Matrix::stack (const RowVector& a) const +{ + int nr = rows (); + int nc = cols (); + if (nc != a.length ()) + { + (*current_liboctave_error_handler) + ("column dimension mismatch for stack"); + return Matrix (); + } + + int nr_insert = nr; + Matrix retval (nr + 1, nc); + retval.insert (*this, 0, 0); + retval.insert (a, nr_insert, 0); + return retval; +} + +Matrix +Matrix::stack (const ColumnVector& a) const +{ + int nr = rows (); + int nc = cols (); + if (nc != 1) + { + (*current_liboctave_error_handler) + ("column dimension mismatch for stack"); + return Matrix (); + } + + int nr_insert = nr; + Matrix retval (nr + a.length (), nc); + retval.insert (*this, 0, 0); + retval.insert (a, nr_insert, 0); + return retval; +} + +Matrix +Matrix::stack (const DiagMatrix& a) const +{ + int nr = rows (); + int nc = cols (); + if (nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("column dimension mismatch for stack"); + return Matrix (); + } + + int nr_insert = nr; + Matrix retval (nr + a.rows (), nc); + retval.insert (*this, 0, 0); + retval.insert (a, nr_insert, 0); + return retval; +} + +Matrix +Matrix::transpose (void) const +{ + int nr = rows (); + int nc = cols (); + Matrix result (nc, nr); + if (length () > 0) + { + for (int j = 0; j < nc; j++) + for (int i = 0; i < nr; i++) + result.elem (j, i) = elem (i, j); + } + return result; +} + +Matrix +real (const ComplexMatrix& a) +{ + int a_len = a.length (); + Matrix retval; + if (a_len > 0) + retval = Matrix (real_dup (a.data (), a_len), a.rows (), a.cols ()); + return retval; +} + +Matrix +imag (const ComplexMatrix& a) +{ + int a_len = a.length (); + Matrix retval; + if (a_len > 0) + retval = Matrix (imag_dup (a.data (), a_len), a.rows (), a.cols ()); + return retval; +} + +Matrix +Matrix::extract (int r1, int c1, int r2, int c2) const +{ + if (r1 > r2) { int tmp = r1; r1 = r2; r2 = tmp; } + if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } + + int new_r = r2 - r1 + 1; + int new_c = c2 - c1 + 1; + + Matrix result (new_r, new_c); + + for (int j = 0; j < new_c; j++) + for (int i = 0; i < new_r; i++) + result.elem (i, j) = elem (r1+i, c1+j); + + return result; +} + +// extract row or column i. + +RowVector +Matrix::row (int i) const +{ + int nc = cols (); + if (i < 0 || i >= rows ()) + { + (*current_liboctave_error_handler) ("invalid row selection"); + return RowVector (); + } + + RowVector retval (nc); + for (int j = 0; j < nc; j++) + retval.elem (j) = elem (i, j); + + return retval; +} + +RowVector +Matrix::row (char *s) const +{ + if (! s) + { + (*current_liboctave_error_handler) ("invalid row selection"); + return RowVector (); + } + + char c = *s; + if (c == 'f' || c == 'F') + return row (0); + else if (c == 'l' || c == 'L') + return row (rows () - 1); + else + { + (*current_liboctave_error_handler) ("invalid row selection"); + return RowVector (); + } +} + +ColumnVector +Matrix::column (int i) const +{ + int nr = rows (); + if (i < 0 || i >= cols ()) + { + (*current_liboctave_error_handler) ("invalid column selection"); + return ColumnVector (); + } + + ColumnVector retval (nr); + for (int j = 0; j < nr; j++) + retval.elem (j) = elem (j, i); + + return retval; +} + +ColumnVector +Matrix::column (char *s) const +{ + if (! s) + { + (*current_liboctave_error_handler) ("invalid column selection"); + return ColumnVector (); + } + + char c = *s; + if (c == 'f' || c == 'F') + return column (0); + else if (c == 'l' || c == 'L') + return column (cols () - 1); + else + { + (*current_liboctave_error_handler) ("invalid column selection"); + return ColumnVector (); + } +} + +Matrix +Matrix::inverse (void) const +{ + int info; + double rcond; + return inverse (info, rcond); +} + +Matrix +Matrix::inverse (int& info) const +{ + double rcond; + return inverse (info, rcond); +} + +Matrix +Matrix::inverse (int& info, double& rcond) const +{ + int nr = rows (); + int nc = cols (); + int len = length (); + if (nr != nc || nr == 0 || nc == 0) + { + (*current_liboctave_error_handler) ("inverse requires square matrix"); + return Matrix (); + } + + info = 0; + + int *ipvt = new int [nr]; + double *z = new double [nr]; + double *tmp_data = dup (data (), len); + + F77_FCN (dgeco, DGECO) (tmp_data, nr, nc, ipvt, rcond, z); + + volatile double rcond_plus_one = rcond + 1.0; + if (rcond_plus_one == 1.0) + { + info = -1; + copy (tmp_data, data (), len); // Restore matrix contents. + } + else + { + double *dummy = 0; + + F77_FCN (dgedi, DGEDI) (tmp_data, nr, nc, ipvt, dummy, z, 1); + } + + delete [] ipvt; + delete [] z; + + return Matrix (tmp_data, nr, nc); +} + +Matrix +Matrix::pseudo_inverse (double tol) +{ + SVD result (*this); + + DiagMatrix S = result.singular_values (); + Matrix U = result.left_singular_matrix (); + Matrix V = result.right_singular_matrix (); + + ColumnVector sigma = S.diag (); + + int r = sigma.length () - 1; + int nr = rows (); + int nc = cols (); + + if (tol <= 0.0) + { + if (nr > nc) + tol = nr * sigma.elem (0) * DBL_EPSILON; + else + tol = nc * sigma.elem (0) * DBL_EPSILON; + } + + while (r >= 0 && sigma.elem (r) < tol) + r--; + + if (r < 0) + return Matrix (nc, nr, 0.0); + else + { + Matrix Ur = U.extract (0, 0, nr-1, r); + DiagMatrix D = DiagMatrix (sigma.extract (0, r)) . inverse (); + Matrix Vr = V.extract (0, 0, nc-1, r); + return Vr * D * Ur.transpose (); + } +} + +ComplexMatrix +Matrix::fourier (void) const +{ + int nr = rows (); + int nc = cols (); + int npts, nsamples; + if (nr == 1 || nc == 1) + { + npts = nr > nc ? nr : nc; + nsamples = 1; + } + else + { + npts = nr; + nsamples = nc; + } + + int nn = 4*npts+15; + Complex *wsave = new Complex [nn]; + Complex *tmp_data = make_complex (data (), length ()); + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + F77_FCN (cfftf, CFFTF) (npts, &tmp_data[npts*j], wsave); + + delete [] wsave; + + return ComplexMatrix (tmp_data, nr, nc); +} + +ComplexMatrix +Matrix::ifourier (void) const +{ + int nr = rows (); + int nc = cols (); + int npts, nsamples; + if (nr == 1 || nc == 1) + { + npts = nr > nc ? nr : nc; + nsamples = 1; + } + else + { + npts = nr; + nsamples = nc; + } + + int nn = 4*npts+15; + Complex *wsave = new Complex [nn]; + Complex *tmp_data = make_complex (data (), length ()); + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + F77_FCN (cfftb, CFFTB) (npts, &tmp_data[npts*j], wsave); + + for (int j = 0; j < npts*nsamples; j++) + tmp_data[j] = tmp_data[j] / (double) npts; + + delete [] wsave; + + return ComplexMatrix (tmp_data, nr, nc); +} + +ComplexMatrix +Matrix::fourier2d (void) const +{ + int nr = rows (); + int nc = cols (); + int npts, nsamples; + if (nr == 1 || nc == 1) + { + npts = nr > nc ? nr : nc; + nsamples = 1; + } + else + { + npts = nr; + nsamples = nc; + } + + int nn = 4*npts+15; + Complex *wsave = new Complex [nn]; + Complex *tmp_data = make_complex (data (), length ()); + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + F77_FCN (cfftf, CFFTF) (npts, &tmp_data[npts*j], wsave); + + delete [] wsave; + + npts = nc; + nsamples = nr; + nn = 4*npts+15; + wsave = new Complex [nn]; + Complex *row = new Complex[npts]; + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + { + for (int i = 0; i < npts; i++) + row[i] = tmp_data[i*nr + j]; + + F77_FCN (cfftf, CFFTF) (npts, row, wsave); + + for (int i = 0; i < npts; i++) + tmp_data[i*nr + j] = row[i]; + } + + delete [] wsave; + delete [] row; + + return ComplexMatrix (tmp_data, nr, nc); +} + +ComplexMatrix +Matrix::ifourier2d (void) const +{ + int nr = rows (); + int nc = cols (); + int npts, nsamples; + if (nr == 1 || nc == 1) + { + npts = nr > nc ? nr : nc; + nsamples = 1; + } + else + { + npts = nr; + nsamples = nc; + } + + int nn = 4*npts+15; + Complex *wsave = new Complex [nn]; + Complex *tmp_data = make_complex (data (), length ()); + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + F77_FCN (cfftb, CFFTB) (npts, &tmp_data[npts*j], wsave); + + delete [] wsave; + + for (int j = 0; j < npts*nsamples; j++) + tmp_data[j] = tmp_data[j] / (double) npts; + + npts = nc; + nsamples = nr; + nn = 4*npts+15; + wsave = new Complex [nn]; + Complex *row = new Complex[npts]; + + F77_FCN (cffti, CFFTI) (npts, wsave); + + for (int j = 0; j < nsamples; j++) + { + for (int i = 0; i < npts; i++) + row[i] = tmp_data[i*nr + j]; + + F77_FCN (cfftb, CFFTB) (npts, row, wsave); + + for (int i = 0; i < npts; i++) + tmp_data[i*nr + j] = row[i] / (double) npts; + } + + delete [] wsave; + delete [] row; + + return ComplexMatrix (tmp_data, nr, nc); +} + +DET +Matrix::determinant (void) const +{ + int info; + double rcond; + return determinant (info, rcond); +} + +DET +Matrix::determinant (int& info) const +{ + double rcond; + return determinant (info, rcond); +} + +DET +Matrix::determinant (int& info, double& rcond) const +{ + DET retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 0 || nc == 0) + { + double d[2]; + d[0] = 1.0; + d[1] = 0.0; + retval = DET (d); + } + else + { + info = 0; + int *ipvt = new int [nr]; + + double *z = new double [nr]; + double *tmp_data = dup (data (), length ()); + + F77_FCN (dgeco, DGECO) (tmp_data, nr, nr, ipvt, rcond, z); + + volatile double rcond_plus_one = rcond + 1.0; + if (rcond_plus_one == 1.0) + { + info = -1; + retval = DET (); + } + else + { + double d[2]; + F77_FCN (dgedi, DGEDI) (tmp_data, nr, nr, ipvt, d, z, 10); + retval = DET (d); + } + + delete [] tmp_data; + delete [] ipvt; + delete [] z; + } + + return retval; +} + +Matrix +Matrix::solve (const Matrix& b) const +{ + int info; + double rcond; + return solve (b, info, rcond); +} + +Matrix +Matrix::solve (const Matrix& b, int& info) const +{ + double rcond; + return solve (b, info, rcond); +} + +Matrix +Matrix::solve (const Matrix& b, int& info, double& rcond) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + if (nr == 0 || nc == 0 || nr != nc || nr != b.rows ()) + { + (*current_liboctave_error_handler) + ("matrix dimension mismatch solution of linear equations"); + return Matrix (); + } + + info = 0; + int *ipvt = new int [nr]; + + double *z = new double [nr]; + double *tmp_data = dup (data (), length ()); + + F77_FCN (dgeco, DGECO) (tmp_data, nr, nr, ipvt, rcond, z); + + volatile double rcond_plus_one = rcond + 1.0; + if (rcond_plus_one == 1.0) + { + info = -2; + } + else + { + double *result = dup (b.data (), b.length ()); + + int b_nc = b.cols (); + for (int j = 0; j < b_nc; j++) + F77_FCN (dgesl, DGESL) (tmp_data, nr, nr, ipvt, &result[nr*j], 0); + + retval = Matrix (result, b.rows (), b_nc); + } + + delete [] tmp_data; + delete [] ipvt; + delete [] z; + + return retval; +} + +ComplexMatrix +Matrix::solve (const ComplexMatrix& b) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b); +} + +ComplexMatrix +Matrix::solve (const ComplexMatrix& b, int& info) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b, info); +} + +ComplexMatrix +Matrix::solve (const ComplexMatrix& b, int& info, double& rcond) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b, info, rcond); +} + +ColumnVector +Matrix::solve (const ColumnVector& b) const +{ + int info; double rcond; + return solve (b, info, rcond); +} + +ColumnVector +Matrix::solve (const ColumnVector& b, int& info) const +{ + double rcond; + return solve (b, info, rcond); +} + +ColumnVector +Matrix::solve (const ColumnVector& b, int& info, double& rcond) const +{ + ColumnVector retval; + + int nr = rows (); + int nc = cols (); + if (nr == 0 || nc == 0 || nr != nc || nr != b.length ()) + { + (*current_liboctave_error_handler) + ("matrix dimension mismatch solution of linear equations"); + return ColumnVector (); + } + + info = 0; + int *ipvt = new int [nr]; + + double *z = new double [nr]; + double *tmp_data = dup (data (), length ()); + + F77_FCN (dgeco, DGECO) (tmp_data, nr, nr, ipvt, rcond, z); + + volatile double rcond_plus_one = rcond + 1.0; + if (rcond_plus_one == 1.0) + { + info = -2; + } + else + { + int b_len = b.length (); + + double *result = dup (b.data (), b_len); + + F77_FCN (dgesl, DGESL) (tmp_data, nr, nr, ipvt, result, 0); + + retval = ColumnVector (result, b_len); + } + + delete [] tmp_data; + delete [] ipvt; + delete [] z; + + return retval; +} + +ComplexColumnVector +Matrix::solve (const ComplexColumnVector& b) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b); +} + +ComplexColumnVector +Matrix::solve (const ComplexColumnVector& b, int& info) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b, info); +} + +ComplexColumnVector +Matrix::solve (const ComplexColumnVector& b, int& info, double& rcond) const +{ + ComplexMatrix tmp (*this); + return tmp.solve (b, info, rcond); +} + +Matrix +Matrix::lssolve (const Matrix& b) const +{ + int info; + int rank; + return lssolve (b, info, rank); +} + +Matrix +Matrix::lssolve (const Matrix& b, int& info) const +{ + int rank; + return lssolve (b, info, rank); +} + +Matrix +Matrix::lssolve (const Matrix& b, int& info, int& rank) const +{ + int nrhs = b.cols (); + + int m = rows (); + int n = cols (); + + if (m == 0 || n == 0 || m != b.rows ()) + { + (*current_liboctave_error_handler) + ("matrix dimension mismatch in solution of least squares problem"); + return Matrix (); + } + + double *tmp_data = dup (data (), length ()); + + int nrr = m > n ? m : n; + Matrix result (nrr, nrhs); + + for (int j = 0; j < nrhs; j++) + for (int i = 0; i < m; i++) + result.elem (i, j) = b.elem (i, j); + + double *presult = result.fortran_vec (); + + int len_s = m < n ? m : n; + double *s = new double [len_s]; + double rcond = -1.0; + int lwork; + if (m < n) + lwork = 3*m + (2*m > nrhs ? (2*m > n ? 2*m : n) : (nrhs > n ? nrhs : n)); + else + lwork = 3*n + (2*n > nrhs ? (2*n > m ? 2*n : m) : (nrhs > m ? nrhs : m)); + + double *work = new double [lwork]; + + F77_FCN (dgelss, DGELSS) (m, n, nrhs, tmp_data, m, presult, nrr, s, + rcond, rank, work, lwork, info); + + Matrix retval (n, nrhs); + for (int j = 0; j < nrhs; j++) + for (int i = 0; i < n; i++) + retval.elem (i, j) = result.elem (i, j); + + delete [] tmp_data; + delete [] s; + delete [] work; + + return retval; +} + +ComplexMatrix +Matrix::lssolve (const ComplexMatrix& b) const +{ + ComplexMatrix tmp (*this); + int info; + int rank; + return tmp.lssolve (b, info, rank); +} + +ComplexMatrix +Matrix::lssolve (const ComplexMatrix& b, int& info) const +{ + ComplexMatrix tmp (*this); + int rank; + return tmp.lssolve (b, info, rank); +} + +ComplexMatrix +Matrix::lssolve (const ComplexMatrix& b, int& info, int& rank) const +{ + ComplexMatrix tmp (*this); + return tmp.lssolve (b, info, rank); +} + +ColumnVector +Matrix::lssolve (const ColumnVector& b) const +{ + int info; + int rank; + return lssolve (b, info, rank); +} + +ColumnVector +Matrix::lssolve (const ColumnVector& b, int& info) const +{ + int rank; + return lssolve (b, info, rank); +} + +ColumnVector +Matrix::lssolve (const ColumnVector& b, int& info, int& rank) const +{ + int nrhs = 1; + + int m = rows (); + int n = cols (); + + if (m == 0 || n == 0 || m != b.length ()) + { + (*current_liboctave_error_handler) + ("matrix dimension mismatch in solution of least squares problem"); + return ColumnVector (); + } + + double *tmp_data = dup (data (), length ()); + + int nrr = m > n ? m : n; + ColumnVector result (nrr); + + for (int i = 0; i < m; i++) + result.elem (i) = b.elem (i); + + double *presult = result.fortran_vec (); + + int len_s = m < n ? m : n; + double *s = new double [len_s]; + double rcond = -1.0; + int lwork; + if (m < n) + lwork = 3*m + (2*m > nrhs ? (2*m > n ? 2*m : n) : (nrhs > n ? nrhs : n)); + else + lwork = 3*n + (2*n > nrhs ? (2*n > m ? 2*n : m) : (nrhs > m ? nrhs : m)); + + double *work = new double [lwork]; + + F77_FCN (dgelss, DGELSS) (m, n, nrhs, tmp_data, m, presult, nrr, s, + rcond, rank, work, lwork, info); + + ColumnVector retval (n); + for (int i = 0; i < n; i++) + retval.elem (i) = result.elem (i); + + delete [] tmp_data; + delete [] s; + delete [] work; + + return retval; +} + +ComplexColumnVector +Matrix::lssolve (const ComplexColumnVector& b) const +{ + ComplexMatrix tmp (*this); + return tmp.lssolve (b); +} + +ComplexColumnVector +Matrix::lssolve (const ComplexColumnVector& b, int& info) const +{ + ComplexMatrix tmp (*this); + return tmp.lssolve (b, info); +} + +ComplexColumnVector +Matrix::lssolve (const ComplexColumnVector& b, int& info, int& rank) const +{ + ComplexMatrix tmp (*this); + return tmp.lssolve (b, info, rank); +} + +Matrix& +Matrix::operator += (const Matrix& a) +{ + int nr = rows (); + int nc = cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix += operation attempted"); + return *this; + } + + if (nr == 0 || nc == 0) + return *this; + + double *d = fortran_vec (); // Ensures only one reference to my privates! + + add2 (d, a.data (), length ()); + + return *this; +} + +Matrix& +Matrix::operator -= (const Matrix& a) +{ + int nr = rows (); + int nc = cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix -= operation attempted"); + return *this; + } + + if (nr == 0 || nc == 0) + return *this; + + double *d = fortran_vec (); // Ensures only one reference to my privates! + + subtract2 (d, a.data (), length ()); + + return *this; +} + +Matrix& +Matrix::operator += (const DiagMatrix& a) +{ + if (rows () != a.rows () || cols () != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix += operation attempted"); + return *this; + } + + for (int i = 0; i < a.length (); i++) + elem (i, i) += a.elem (i, i); + + return *this; +} + +Matrix& +Matrix::operator -= (const DiagMatrix& a) +{ + if (rows () != a.rows () || cols () != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix += operation attempted"); + return *this; + } + + for (int i = 0; i < a.length (); i++) + elem (i, i) -= a.elem (i, i); + + return *this; +} + +// unary operations + +Matrix +Matrix::operator ! (void) const +{ + int nr = rows (); + int nc = cols (); + + Matrix b (nr, nc); + + for (int j = 0; j < nc; j++) + for (int i = 0; i < nr; i++) + b.elem (i, j) = ! elem (i, j); + + return b; +} + +// column vector by row vector -> matrix operations + +Matrix +operator * (const ColumnVector& v, const RowVector& a) +{ + int len = v.length (); + int a_len = a.length (); + if (len != a_len) + { + (*current_liboctave_error_handler) + ("nonconformant vector multiplication attempted"); + return Matrix (); + } + + if (len == 0) + return Matrix (len, len, 0.0); + + double *c = new double [len * a_len]; + + F77_FCN (dgemm, DGEMM) ("N", "N", len, a_len, 1, 1.0, v.data (), + len, a.data (), 1, 0.0, c, len, 1L, 1L); + + return Matrix (c, len, a_len); +} + +// diagonal matrix by scalar -> matrix operations + +Matrix +operator + (const DiagMatrix& a, double s) +{ + Matrix tmp (a.rows (), a.cols (), s); + return a + tmp; +} + +Matrix +operator - (const DiagMatrix& a, double s) +{ + Matrix tmp (a.rows (), a.cols (), -s); + return a + tmp; +} + +// scalar by diagonal matrix -> matrix operations + +Matrix +operator + (double s, const DiagMatrix& a) +{ + Matrix tmp (a.rows (), a.cols (), s); + return tmp + a; +} + +Matrix +operator - (double s, const DiagMatrix& a) +{ + Matrix tmp (a.rows (), a.cols (), s); + return tmp - a; +} + +// matrix by diagonal matrix -> matrix operations + +Matrix +operator + (const Matrix& m, const DiagMatrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix addition attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0) + return Matrix (nr, nc); + + Matrix result (m); + int a_len = a.length (); + for (int i = 0; i < a_len; i++) + result.elem (i, i) += a.elem (i, i); + + return result; +} + +Matrix +operator - (const Matrix& m, const DiagMatrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix subtraction attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0) + return Matrix (nr, nc); + + Matrix result (m); + int a_len = a.length (); + for (int i = 0; i < a_len; i++) + result.elem (i, i) -= a.elem (i, i); + + return result; +} + +Matrix +operator * (const Matrix& m, const DiagMatrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + int a_nr = a.rows (); + int a_nc = a.cols (); + if (nc != a_nr) + { + (*current_liboctave_error_handler) + ("nonconformant matrix multiplication attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0 || a_nc == 0) + return Matrix (nr, a_nc, 0.0); + + double *c = new double [nr*a_nc]; + double *ctmp = 0; + + int a_len = a.length (); + for (int j = 0; j < a_len; j++) + { + int idx = j * nr; + ctmp = c + idx; + if (a.elem (j, j) == 1.0) + { + for (int i = 0; i < nr; i++) + ctmp[i] = m.elem (i, j); + } + else if (a.elem (j, j) == 0.0) + { + for (int i = 0; i < nr; i++) + ctmp[i] = 0.0; + } + else + { + for (int i = 0; i < nr; i++) + ctmp[i] = a.elem (j, j) * m.elem (i, j); + } + } + + if (a_nr < a_nc) + { + for (int i = nr * nc; i < nr * a_nc; i++) + ctmp[i] = 0.0; + } + + return Matrix (c, nr, a_nc); +} + +// diagonal matrix by matrix -> matrix operations + +Matrix +operator + (const DiagMatrix& m, const Matrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix addition attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0) + return Matrix (nr, nc); + + Matrix result (a); + for (int i = 0; i < m.length (); i++) + result.elem (i, i) += m.elem (i, i); + + return result; +} + +Matrix +operator - (const DiagMatrix& m, const Matrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + if (nr != a.rows () || nc != a.cols ()) + { + (*current_liboctave_error_handler) + ("nonconformant matrix subtraction attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0) + return Matrix (nr, nc); + + Matrix result (-a); + for (int i = 0; i < m.length (); i++) + result.elem (i, i) += m.elem (i, i); + + return result; +} + +Matrix +operator * (const DiagMatrix& m, const Matrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + int a_nr = a.rows (); + int a_nc = a.cols (); + if (nc != a_nr) + { + (*current_liboctave_error_handler) + ("nonconformant matrix multiplication attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0 || a_nc == 0) + return Matrix (nr, a_nc, 0.0); + + Matrix c (nr, a_nc); + + for (int i = 0; i < m.length (); i++) + { + if (m.elem (i, i) == 1.0) + { + for (int j = 0; j < a_nc; j++) + c.elem (i, j) = a.elem (i, j); + } + else if (m.elem (i, i) == 0.0) + { + for (int j = 0; j < a_nc; j++) + c.elem (i, j) = 0.0; + } + else + { + for (int j = 0; j < a_nc; j++) + c.elem (i, j) = m.elem (i, i) * a.elem (i, j); + } + } + + if (nr > nc) + { + for (int j = 0; j < a_nc; j++) + for (int i = a_nr; i < nr; i++) + c.elem (i, j) = 0.0; + } + + return c; +} + +// matrix by matrix -> matrix operations + +Matrix +operator * (const Matrix& m, const Matrix& a) +{ + int nr = m.rows (); + int nc = m.cols (); + int a_nr = a.rows (); + int a_nc = a.cols (); + if (nc != a_nr) + { + (*current_liboctave_error_handler) + ("nonconformant matrix multiplication attempted"); + return Matrix (); + } + + if (nr == 0 || nc == 0 || a_nc == 0) + return Matrix (nr, a_nc, 0.0); + + int ld = nr; + int lda = a_nr; + + double *c = new double [nr*a_nc]; + + F77_FCN (dgemm, DGEMM) ("N", "N", nr, a_nc, nc, 1.0, m.data (), + ld, a.data (), lda, 0.0, c, nr, 1L, 1L); + + return Matrix (c, nr, a_nc); +} + +// other operations. + +Matrix +map (d_d_Mapper f, const Matrix& a) +{ + Matrix b (a); + b.map (f); + return b; +} + +Matrix +map (d_c_Mapper f, const ComplexMatrix& a) +{ + int a_nc = a.cols (); + int a_nr = a.rows (); + Matrix b (a_nr, a_nc); + for (int j = 0; j < a_nc; j++) + for (int i = 0; i < a_nr; i++) + b.elem (i, j) = f (a.elem (i, j)); + return b; +} + +void +Matrix::map (d_d_Mapper f) +{ + double *d = fortran_vec (); // Ensures only one reference to my privates! + + for (int i = 0; i < length (); i++) + d[i] = f (d[i]); +} + +// XXX FIXME XXX Do these really belong here? They should maybe be +// cleaned up a bit, no? What about corresponding functions for the +// Vectors? + +Matrix +Matrix::all (void) const +{ + int nr = rows (); + int nc = cols (); + Matrix retval; + if (nr > 0 && nc > 0) + { + if (nr == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 1.0; + for (int j = 0; j < nc; j++) + { + if (elem (0, j) == 0.0) + { + retval.elem (0, 0) = 0.0; + break; + } + } + } + else if (nc == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 1.0; + for (int i = 0; i < nr; i++) + { + if (elem (i, 0) == 0.0) + { + retval.elem (0, 0) = 0.0; + break; + } + } + } + else + { + retval.resize (1, nc); + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = 1.0; + for (int i = 0; i < nr; i++) + { + if (elem (i, j) == 0.0) + { + retval.elem (0, j) = 0.0; + break; + } + } + } + } + } + return retval; +} + +Matrix +Matrix::any (void) const +{ + int nr = rows (); + int nc = cols (); + Matrix retval; + if (nr > 0 && nc > 0) + { + if (nr == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int j = 0; j < nc; j++) + { + if (elem (0, j) != 0.0) + { + retval.elem (0, 0) = 1.0; + break; + } + } + } + else if (nc == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int i = 0; i < nr; i++) + { + if (elem (i, 0) != 0.0) + { + retval.elem (0, 0) = 1.0; + break; + } + } + } + else + { + retval.resize (1, nc); + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = 0.0; + for (int i = 0; i < nr; i++) + { + if (elem (i, j) != 0.0) + { + retval.elem (0, j) = 1.0; + break; + } + } + } + } + } + return retval; +} + +Matrix +Matrix::cumprod (void) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 1) + { + retval.resize (1, nc); + if (nc > 0) + { + double prod = elem (0, 0); + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = prod; + if (j < nc - 1) + prod *= elem (0, j+1); + } + } + } + else if (nc == 1) + { + retval.resize (nr, 1); + if (nr > 0) + { + double prod = elem (0, 0); + for (int i = 0; i < nr; i++) + { + retval.elem (i, 0) = prod; + if (i < nr - 1) + prod *= elem (i+1, 0); + } + } + } + else + { + retval.resize (nr, nc); + if (nr > 0 && nc > 0) + { + for (int j = 0; j < nc; j++) + { + double prod = elem (0, j); + for (int i = 0; i < nr; i++) + { + retval.elem (i, j) = prod; + if (i < nr - 1) + prod *= elem (i+1, j); + } + } + } + } + return retval; +} + +Matrix +Matrix::cumsum (void) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 1) + { + retval.resize (1, nc); + if (nc > 0) + { + double sum = elem (0, 0); + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = sum; + if (j < nc - 1) + sum += elem (0, j+1); + } + } + } + else if (nc == 1) + { + retval.resize (nr, 1); + if (nr > 0) + { + double sum = elem (0, 0); + for (int i = 0; i < nr; i++) + { + retval.elem (i, 0) = sum; + if (i < nr - 1) + sum += elem (i+1, 0); + } + } + } + else + { + retval.resize (nr, nc); + if (nr > 0 && nc > 0) + { + for (int j = 0; j < nc; j++) + { + double sum = elem (0, j); + for (int i = 0; i < nr; i++) + { + retval.elem (i, j) = sum; + if (i < nr - 1) + sum += elem (i+1, j); + } + } + } + } + return retval; +} + +Matrix +Matrix::prod (void) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 1.0; + for (int j = 0; j < nc; j++) + retval.elem (0, 0) *= elem (0, j); + } + else if (nc == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 1.0; + for (int i = 0; i < nr; i++) + retval.elem (0, 0) *= elem (i, 0); + } + else + { + if (nc == 0) + { + retval.resize (1, 1); + retval.elem (0, 0) = 1.0; + } + else + retval.resize (1, nc); + + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = 1.0; + for (int i = 0; i < nr; i++) + retval.elem (0, j) *= elem (i, j); + } + } + return retval; +} + +Matrix +Matrix::sum (void) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int j = 0; j < nc; j++) + retval.elem (0, 0) += elem (0, j); + } + else if (nc == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int i = 0; i < nr; i++) + retval.elem (0, 0) += elem (i, 0); + } + else + { + if (nc == 0) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + } + else + retval.resize (1, nc); + + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = 0.0; + for (int i = 0; i < nr; i++) + retval.elem (0, j) += elem (i, j); + } + } + return retval; +} + +Matrix +Matrix::sumsq (void) const +{ + Matrix retval; + + int nr = rows (); + int nc = cols (); + + if (nr == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int j = 0; j < nc; j++) + { + double d = elem (0, j); + retval.elem (0, 0) += d * d; + } + } + else if (nc == 1) + { + retval.resize (1, 1); + retval.elem (0, 0) = 0.0; + for (int i = 0; i < nr; i++) + { + double d = elem (i, 0); + retval.elem (0, 0) += d * d; + } + } + else + { + retval.resize (1, nc); + for (int j = 0; j < nc; j++) + { + retval.elem (0, j) = 0.0; + for (int i = 0; i < nr; i++) + { + double d = elem (i, j); + retval.elem (0, j) += d * d; + } + } + } + return retval; +} + +ColumnVector +Matrix::diag (void) const +{ + return diag (0); +} + +ColumnVector +Matrix::diag (int k) const +{ + int nnr = rows (); + int nnc = cols (); + if (k > 0) + nnc -= k; + else if (k < 0) + nnr += k; + + ColumnVector d; + + if (nnr > 0 && nnc > 0) + { + int ndiag = (nnr < nnc) ? nnr : nnc; + + d.resize (ndiag); + + if (k > 0) + { + for (int i = 0; i < ndiag; i++) + d.elem (i) = elem (i, i+k); + } + else if ( k < 0) + { + for (int i = 0; i < ndiag; i++) + d.elem (i) = elem (i-k, i); + } + else + { + for (int i = 0; i < ndiag; i++) + d.elem (i) = elem (i, i); + } + } + else + cerr << "diag: requested diagonal out of range\n"; + + return d; +} + +ColumnVector +Matrix::row_min (void) const +{ + ColumnVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nr); + + for (int i = 0; i < nr; i++) + { + double res = elem (i, 0); + for (int j = 1; j < nc; j++) + if (elem (i, j) < res) + res = elem (i, j); + result.elem (i) = res; + } + } + + return result; +} + +ColumnVector +Matrix::row_min_loc (void) const +{ + ColumnVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nr); + + for (int i = 0; i < nr; i++) + { + int res = 0; + for (int j = 0; j < nc; j++) + if (elem (i, j) < elem (i, res)) + res = j; + result.elem (i) = (double) (res + 1); + } + } + + return result; +} + +ColumnVector +Matrix::row_max (void) const +{ + ColumnVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nr); + + for (int i = 0; i < nr; i++) + { + double res = elem (i, 0); + for (int j = 1; j < nc; j++) + if (elem (i, j) > res) + res = elem (i, j); + result.elem (i) = res; + } + } + + return result; +} + +ColumnVector +Matrix::row_max_loc (void) const +{ + ColumnVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nr); + + for (int i = 0; i < nr; i++) + { + int res = 0; + for (int j = 0; j < nc; j++) + if (elem (i, j) > elem (i, res)) + res = j; + result.elem (i) = (double) (res + 1); + } + } + + return result; +} + +RowVector +Matrix::column_min (void) const +{ + RowVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nc); + + for (int j = 0; j < nc; j++) + { + double res = elem (0, j); + for (int i = 1; i < nr; i++) + if (elem (i, j) < res) + res = elem (i, j); + result.elem (j) = res; + } + } + + return result; +} +RowVector +Matrix::column_min_loc (void) const +{ + RowVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nc); + + for (int j = 0; j < nc; j++) + { + int res = 0; + for (int i = 0; i < nr; i++) + if (elem (i, j) < elem (res, j)) + res = i; + result.elem (j) = (double) (res + 1); + } + } + + return result; +} + + +RowVector +Matrix::column_max (void) const +{ + RowVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nc); + + for (int j = 0; j < nc; j++) + { + double res = elem (0, j); + for (int i = 1; i < nr; i++) + if (elem (i, j) > res) + res = elem (i, j); + result.elem (j) = res; + } + } + + return result; +} + +RowVector +Matrix::column_max_loc (void) const +{ + RowVector result; + + int nr = rows (); + int nc = cols (); + + if (nr > 0 && nc > 0) + { + result.resize (nc); + + for (int j = 0; j < nc; j++) + { + int res = 0; + for (int i = 0; i < nr; i++) + if (elem (i, j) > elem (res, j)) + res = i; + result.elem (j) = (double) (res + 1); + } + } + + return result; +} + +ostream& +operator << (ostream& os, const Matrix& a) +{ +// int field_width = os.precision () + 7; + + for (int i = 0; i < a.rows (); i++) + { + for (int j = 0; j < a.cols (); j++) + os << " " /* setw (field_width) */ << a.elem (i, j); + os << "\n"; + } + return os; +} + +istream& +operator >> (istream& is, Matrix& a) +{ + int nr = a.rows (); + int nc = a.cols (); + + if (nr < 1 || nc < 1) + is.clear (ios::badbit); + else + { + double tmp; + for (int i = 0; i < nr; i++) + for (int j = 0; j < nc; j++) + { + is >> tmp; + if (is) + a.elem (i, j) = tmp; + else + break; + } + } + + return is; +} + +// Read an array of data from a file in binary format. + +int +Matrix::read (FILE *fptr, const char *type) +{ + // Allocate buffer pointers. + + union + { + void *vd; + char *ch; + u_char *uc; + short *sh; + u_short *us; + int *in; + u_int *ui; + long *ln; + u_long *ul; + float *fl; + double *db; + } + buf; + + // Convert data to double. + + if (! type) + { + (*current_liboctave_error_handler) + ("fread: invalid NULL type parameter"); + return 0; + } + + int count; + int nitems = length (); + + double *d = fortran_vec (); // Ensures only one reference to my privates! + +#define DO_FREAD(TYPE,ELEM) \ + do \ + { \ + size_t size = sizeof (TYPE); \ + buf.ch = new char [size * nitems]; \ + count = fread (buf.ch, size, nitems, fptr); \ + for (int k = 0; k < count; k++) \ + d[k] = buf.ELEM[k]; \ + delete [] buf.ch; \ + } \ + while (0) + + if (strcasecmp (type, "double") == 0) + DO_FREAD (double, db); + else if (strcasecmp (type, "char") == 0) + DO_FREAD (char, ch); + else if (strcasecmp (type, "uchar") == 0) + DO_FREAD (u_char, uc); + else if (strcasecmp (type, "short") == 0) + DO_FREAD (short, sh); + else if (strcasecmp (type, "ushort") == 0) + DO_FREAD (u_short, us); + else if (strcasecmp (type, "int") == 0) + DO_FREAD (int, in); + else if (strcasecmp (type, "uint") == 0) + DO_FREAD (u_int, ui); + else if (strcasecmp (type, "long") == 0) + DO_FREAD (long, ul); + else if (strcasecmp (type, "float") == 0) + DO_FREAD (float, fl); + else + { + (*current_liboctave_error_handler) + ("fread: invalid NULL type parameter"); + return 0; + } + + return count; +} + +// Write the data array to a file in binary format. + +int +Matrix::write (FILE *fptr, const char *type) +{ + // Allocate buffer pointers. + + union + { + void *vd; + char *ch; + u_char *uc; + short *sh; + u_short *us; + int *in; + u_int *ui; + long *ln; + u_long *ul; + float *fl; + double *db; + } + buf; + + int nitems = length (); + + double *d = fortran_vec (); + + // Convert from double to correct size. + + if (! type) + { + (*current_liboctave_error_handler) + ("fwrite: invalid NULL type parameter"); + return 0; + } + + size_t size; + int count; + +#define DO_FWRITE(TYPE,ELEM) \ + do \ + { \ + size = sizeof (TYPE); \ + buf.ELEM = new TYPE [nitems]; \ + for (int k = 0; k < nitems; k++) \ + buf.ELEM[k] = (TYPE) d[k]; \ + count = fwrite (buf.ELEM, size, nitems, fptr); \ + delete [] buf.ELEM; \ + } \ + while (0) + + if (strcasecmp (type, "double") == 0) + DO_FWRITE (double, db); + else if (strcasecmp (type, "char") == 0) + DO_FWRITE (char, ch); + else if (strcasecmp (type, "uchar") == 0) + DO_FWRITE (u_char, uc); + else if (strcasecmp (type, "short") == 0) + DO_FWRITE (short, sh); + else if (strcasecmp (type, "ushort") == 0) + DO_FWRITE (u_short, us); + else if (strcasecmp (type, "int") == 0) + DO_FWRITE (int, in); + else if (strcasecmp (type, "uint") == 0) + DO_FWRITE (u_int, ui); + else if (strcasecmp (type, "long") == 0) + DO_FWRITE (long, ln); + else if (strcasecmp (type, "ulong") == 0) + DO_FWRITE (u_long, ul); + else if (strcasecmp (type, "float") == 0) + DO_FWRITE (float, fl); + else + { + (*current_liboctave_error_handler) + ("fwrite: unrecognized type parameter %s", type); + return 0; + } + + return count; +} +#endif + +/* +;;; Local Variables: *** +;;; mode: C++ *** +;;; page-delimiter: "^/\\*" *** +;;; End: *** +*/