// DiagMatrix manipulations. /* Copyright (C) 1996, 1997 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 #endif #include #include "lo-error.h" #include "mx-base.h" #include "mx-inlines.cc" #include "oct-cmplx.h" // Diagonal Matrix class. bool DiagMatrix::operator == (const DiagMatrix& a) const { if (rows () != a.rows () || cols () != a.cols ()) return 0; return equal (data (), a.data (), length ()); } bool DiagMatrix::operator != (const DiagMatrix& a) const { return !(*this == a); } DiagMatrix& DiagMatrix::fill (double val) { for (int i = 0; i < length (); i++) elem (i, i) = val; return *this; } DiagMatrix& DiagMatrix::fill (double val, int beg, int end) { if (beg < 0 || end >= length () || end < beg) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } for (int i = beg; i <= end; i++) elem (i, i) = val; return *this; } DiagMatrix& DiagMatrix::fill (const ColumnVector& a) { int len = length (); if (a.length () != len) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } for (int i = 0; i < len; i++) elem (i, i) = a.elem (i); return *this; } DiagMatrix& DiagMatrix::fill (const RowVector& a) { int len = length (); if (a.length () != len) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } for (int i = 0; i < len; i++) elem (i, i) = a.elem (i); return *this; } DiagMatrix& DiagMatrix::fill (const ColumnVector& a, int beg) { int a_len = a.length (); if (beg < 0 || beg + a_len >= length ()) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } for (int i = 0; i < a_len; i++) elem (i+beg, i+beg) = a.elem (i); return *this; } DiagMatrix& DiagMatrix::fill (const RowVector& a, int beg) { int a_len = a.length (); if (beg < 0 || beg + a_len >= length ()) { (*current_liboctave_error_handler) ("range error for fill"); return *this; } for (int i = 0; i < a_len; i++) elem (i+beg, i+beg) = a.elem (i); return *this; } DiagMatrix DiagMatrix::transpose (void) const { return DiagMatrix (dup (data (), length ()), cols (), rows ()); } DiagMatrix real (const ComplexDiagMatrix& a) { DiagMatrix retval; int a_len = a.length (); if (a_len > 0) retval = DiagMatrix (real_dup (a.data (), a_len), a.rows (), a.cols ()); return retval; } DiagMatrix imag (const ComplexDiagMatrix& a) { DiagMatrix retval; int a_len = a.length (); if (a_len > 0) retval = DiagMatrix (imag_dup (a.data (), a_len), a.rows (), a.cols ()); return retval; } Matrix DiagMatrix::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 DiagMatrix::row (int i) const { int nr = rows (); int nc = cols (); if (i < 0 || i >= nr) { (*current_liboctave_error_handler) ("invalid row selection"); return RowVector (); } RowVector retval (nc, 0.0); if (nr <= nc || (nr > nc && i < nc)) retval.elem (i) = elem (i, i); return retval; } RowVector DiagMatrix::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 DiagMatrix::column (int i) const { int nr = rows (); int nc = cols (); if (i < 0 || i >= nc) { (*current_liboctave_error_handler) ("invalid column selection"); return ColumnVector (); } ColumnVector retval (nr, 0.0); if (nr >= nc || (nr < nc && i < nr)) retval.elem (i) = elem (i, i); return retval; } ColumnVector DiagMatrix::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 (); } } DiagMatrix DiagMatrix::inverse (void) const { int info; return inverse (info); } DiagMatrix DiagMatrix::inverse (int &info) const { int nr = rows (); int nc = cols (); int len = length (); if (nr != nc) { (*current_liboctave_error_handler) ("inverse requires square matrix"); return DiagMatrix (); } DiagMatrix retval (nr, nc); info = 0; for (int i = 0; i < len; i++) { if (elem (i, i) == 0.0) { info = -1; return *this; } else retval.elem (i, i) = 1.0 / elem (i, i); } return retval; } // diagonal matrix by diagonal matrix -> diagonal matrix operations DiagMatrix& DiagMatrix::operator += (const DiagMatrix& a) { int nr = rows (); int nc = cols (); int a_nr = a.rows (); int a_nc = a.cols (); if (nr != a_nr || nc != a_nc) { gripe_nonconformant ("operator +=", nr, nc, a_nr, a_nc); return *this; } if (nc == 0 || nr == 0) return *this; double *d = fortran_vec (); // Ensures only one reference to my privates! add2 (d, a.data (), length ()); return *this; } DiagMatrix& DiagMatrix::operator -= (const DiagMatrix& a) { int nr = rows (); int nc = cols (); int a_nr = a.rows (); int 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; double *d = fortran_vec (); // Ensures only one reference to my privates! subtract2 (d, a.data (), length ()); return *this; } // diagonal matrix by diagonal matrix -> diagonal matrix operations DiagMatrix operator * (const DiagMatrix& a, const DiagMatrix& b) { int nr_a = a.rows (); int nc_a = a.cols (); int nr_b = b.rows (); int nc_b = b.cols (); if (nc_a != nr_b) { gripe_nonconformant ("operaotr *", nr_a, nc_a, nr_b, nc_b); return DiagMatrix (); } if (nr_a == 0 || nc_a == 0 || nc_b == 0) return DiagMatrix (nr_a, nc_a, 0.0); DiagMatrix c (nr_a, nc_b); int len = nr_a < nc_b ? nr_a : nc_b; for (int i = 0; i < len; i++) { double a_element = a.elem (i, i); double b_element = b.elem (i, i); if (a_element == 0.0 || b_element == 0.0) c.elem (i, i) = 0.0; else if (a_element == 1.0) c.elem (i, i) = b_element; else if (b_element == 1.0) c.elem (i, i) = a_element; else c.elem (i, i) = a_element * b_element; } return c; } // other operations ColumnVector DiagMatrix::diag (void) const { return diag (0); } // Could be optimized... ColumnVector DiagMatrix::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; } ostream& operator << (ostream& os, const DiagMatrix& a) { // int field_width = os.precision () + 7; for (int i = 0; i < a.rows (); i++) { for (int j = 0; j < a.cols (); j++) { if (i == j) os << " " /* setw (field_width) */ << a.elem (i, i); else os << " " /* setw (field_width) */ << 0.0; } os << "\n"; } return os; } /* ;;; Local Variables: *** ;;; mode: C++ *** ;;; End: *** */