Mercurial > hg > octave-nkf
view src/corefcn/schur.cc @ 15039:e753177cde93
maint: Move non-dynamically linked functions from DLD-FUNCTIONS/ to corefcn/ directory
* __contourc__.cc, __dispatch__.cc, __lin_interpn__.cc, __pchip_deriv__.cc,
__qp__.cc, balance.cc, besselj.cc, betainc.cc, bsxfun.cc, cellfun.cc,
colloc.cc, conv2.cc, daspk.cc, dasrt.cc, dassl.cc, det.cc, dlmread.cc, dot.cc,
eig.cc, fft.cc, fft2.cc, fftn.cc, filter.cc, find.cc, gammainc.cc, gcd.cc,
getgrent.cc, getpwent.cc, getrusage.cc, givens.cc, hess.cc, hex2num.cc, inv.cc,
kron.cc, lookup.cc, lsode.cc, lu.cc, luinc.cc, matrix_type.cc, max.cc,
md5sum.cc, mgorth.cc, nproc.cc, pinv.cc, quad.cc, quadcc.cc, qz.cc,
rand.cc, rcond.cc, regexp.cc, schur.cc, spparms.cc, sqrtm.cc, str2double.cc,
strfind.cc, sub2ind.cc, svd.cc, syl.cc, time.cc, tril.cc, typecast.cc:
Move functions from DLD-FUNCTIONS/ to corefcn/ directory. Include "defun.h",
not "defun-dld.h". Change docstring to refer to these as "Built-in Functions".
* build-aux/mk-opts.pl: Generate options code with '#include "defun.h"'. Change
option docstrings to refer to these as "Built-in Functions".
* corefcn/module.mk: List of functions to build in corefcn/ dir.
* DLD-FUNCTIONS/config-module.awk: Update to new build system.
* DLD-FUNCTIONS/module-files: Remove functions which are now in corefcn/ directory.
* src/Makefile.am: Update to build "convenience library" in corefcn/. Octave
program now links against all other libraries + corefcn libary.
* src/find-defun-files.sh: Strip $srcdir from filename.
* src/link-deps.mk: Add REGEX and FFTW link dependencies for liboctinterp.
* type.m, which.m: Change failing tests to use 'amd', still a dynamic function,
rather than 'dot', which isn't.
author | Rik <rik@octave.org> |
---|---|
date | Fri, 27 Jul 2012 15:35:00 -0700 |
parents | src/DLD-FUNCTIONS/schur.cc@5ae9f0f77635 |
children |
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/* Copyright (C) 1996-2012 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 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 <string> #include "CmplxSCHUR.h" #include "dbleSCHUR.h" #include "fCmplxSCHUR.h" #include "floatSCHUR.h" #include "defun.h" #include "error.h" #include "gripes.h" #include "oct-obj.h" #include "utils.h" template <class Matrix> static octave_value mark_upper_triangular (const Matrix& a) { octave_value retval = a; octave_idx_type n = a.rows (); assert (a.columns () == n); const typename Matrix::element_type zero = typename Matrix::element_type (); for (octave_idx_type i = 0; i < n; i++) if (a(i,i) == zero) return retval; retval.matrix_type (MatrixType::Upper); return retval; } DEFUN (schur, args, nargout, "-*- texinfo -*-\n\ @deftypefn {Built-in Function} {@var{S} =} schur (@var{A})\n\ @deftypefnx {Built-in Function} {@var{S} =} schur (@var{A}, \"real\")\n\ @deftypefnx {Built-in Function} {@var{S} =} schur (@var{A}, \"complex\")\n\ @deftypefnx {Built-in Function} {@var{S} =} schur (@var{A}, @var{opt})\n\ @deftypefnx {Built-in Function} {[@var{U}, @var{S}] =} schur (@var{A}, @dots{})\n\ @cindex Schur decomposition\n\ Compute the Schur@tie{}decomposition of @var{A}\n\ @tex\n\ $$\n\ S = U^T A U\n\ $$\n\ @end tex\n\ @ifnottex\n\ \n\ @example\n\ @code{@var{S} = @var{U}' * @var{A} * @var{U}}\n\ @end example\n\ \n\ @end ifnottex\n\ where @var{U} is a unitary matrix\n\ @tex\n\ ($U^T U$ is identity)\n\ @end tex\n\ @ifnottex\n\ (@code{@var{U}'* @var{U}} is identity)\n\ @end ifnottex\n\ and @var{S} is upper triangular. The eigenvalues of @var{A} (and @var{S})\n\ are the diagonal elements of @var{S}. If the matrix @var{A}\n\ is real, then the real Schur@tie{}decomposition is computed, in which the\n\ matrix @var{U} is orthogonal and @var{S} is block upper triangular\n\ with blocks of size at most\n\ @tex\n\ $2 \\times 2$\n\ @end tex\n\ @ifnottex\n\ @code{2 x 2}\n\ @end ifnottex\n\ along the diagonal. The diagonal elements of @var{S}\n\ (or the eigenvalues of the\n\ @tex\n\ $2 \\times 2$\n\ @end tex\n\ @ifnottex\n\ @code{2 x 2}\n\ @end ifnottex\n\ blocks, when appropriate) are the eigenvalues of @var{A} and @var{S}.\n\ \n\ The default for real matrices is a real Schur@tie{}decomposition.\n\ A complex decomposition may be forced by passing the flag \"complex\".\n\ \n\ The eigenvalues are optionally ordered along the diagonal according to\n\ the value of @var{opt}. @code{@var{opt} = \"a\"} indicates that all\n\ eigenvalues with negative real parts should be moved to the leading\n\ block of @var{S}\n\ (used in @code{are}), @code{@var{opt} = \"d\"} indicates that all eigenvalues\n\ with magnitude less than one should be moved to the leading block of @var{S}\n\ (used in @code{dare}), and @code{@var{opt} = \"u\"}, the default, indicates\n\ that no ordering of eigenvalues should occur. The leading @var{k}\n\ columns of @var{U} always span the @var{A}-invariant\n\ subspace corresponding to the @var{k} leading eigenvalues of @var{S}.\n\ \n\ The Schur@tie{}decomposition is used to compute eigenvalues of a\n\ square matrix, and has applications in the solution of algebraic\n\ Riccati equations in control (see @code{are} and @code{dare}).\n\ @seealso{rsf2csf}\n\ @end deftypefn") { octave_value_list retval; int nargin = args.length (); if (nargin < 1 || nargin > 2 || nargout > 2) { print_usage (); return retval; } octave_value arg = args(0); std::string ord; if (nargin == 2) { ord = args(1).string_value (); if (error_state) { error ("schur: second argument must be a string"); return retval; } } bool force_complex = false; if (ord == "real") { ord = std::string (); } else if (ord == "complex") { force_complex = true; ord = std::string (); } else { char ord_char = ord.empty () ? 'U' : ord[0]; if (ord_char != 'U' && ord_char != 'A' && ord_char != 'D' && ord_char != 'u' && ord_char != 'a' && ord_char != 'd') { warning ("schur: incorrect ordered schur argument `%c'", ord.c_str ()); return retval; } } octave_idx_type nr = arg.rows (); octave_idx_type nc = arg.columns (); if (nr != nc) { gripe_square_matrix_required ("schur"); return retval; } if (! arg.is_numeric_type ()) gripe_wrong_type_arg ("schur", arg); else if (arg.is_single_type ()) { if (! force_complex && arg.is_real_type ()) { FloatMatrix tmp = arg.float_matrix_value (); if (! error_state) { if (nargout == 0 || nargout == 1) { FloatSCHUR result (tmp, ord, false); retval(0) = result.schur_matrix (); } else { FloatSCHUR result (tmp, ord, true); retval(1) = result.schur_matrix (); retval(0) = result.unitary_matrix (); } } } else { FloatComplexMatrix ctmp = arg.float_complex_matrix_value (); if (! error_state) { if (nargout == 0 || nargout == 1) { FloatComplexSCHUR result (ctmp, ord, false); retval(0) = mark_upper_triangular (result.schur_matrix ()); } else { FloatComplexSCHUR result (ctmp, ord, true); retval(1) = mark_upper_triangular (result.schur_matrix ()); retval(0) = result.unitary_matrix (); } } } } else { if (! force_complex && arg.is_real_type ()) { Matrix tmp = arg.matrix_value (); if (! error_state) { if (nargout == 0 || nargout == 1) { SCHUR result (tmp, ord, false); retval(0) = result.schur_matrix (); } else { SCHUR result (tmp, ord, true); retval(1) = result.schur_matrix (); retval(0) = result.unitary_matrix (); } } } else { ComplexMatrix ctmp = arg.complex_matrix_value (); if (! error_state) { if (nargout == 0 || nargout == 1) { ComplexSCHUR result (ctmp, ord, false); retval(0) = mark_upper_triangular (result.schur_matrix ()); } else { ComplexSCHUR result (ctmp, ord, true); retval(1) = mark_upper_triangular (result.schur_matrix ()); retval(0) = result.unitary_matrix (); } } } } return retval; } /* %!test %! a = [1, 2, 3; 4, 5, 9; 7, 8, 6]; %! [u, s] = schur (a); %! assert (u' * a * u, s, sqrt (eps)); %!test %! a = single ([1, 2, 3; 4, 5, 9; 7, 8, 6]); %! [u, s] = schur (a); %! assert (u' * a * u, s, sqrt (eps ("single"))); %!test %! fail ("schur ([1, 2; 3, 4], 2)", "warning"); %!error schur () %!error <argument must be a square matrix> schur ([1, 2, 3; 4, 5, 6]) */ DEFUN (rsf2csf, args, nargout, "-*- texinfo -*-\n\ @deftypefn {Function File} {[@var{U}, @var{T}] =} rsf2csf (@var{UR}, @var{TR})\n\ Convert a real, upper quasi-triangular Schur@tie{}form @var{TR} to a complex,\n\ upper triangular Schur@tie{}form @var{T}.\n\ \n\ Note that the following relations hold:\n\ \n\ @tex\n\ $UR \\cdot TR \\cdot {UR}^T = U T U^{\\dagger}$ and\n\ $U^{\\dagger} U$ is the identity matrix I.\n\ @end tex\n\ @ifnottex\n\ @xcode{@var{UR} * @var{TR} * @var{UR}' = @var{U} * @var{T} * @var{U}'} and\n\ @code{@var{U}' * @var{U}} is the identity matrix I.\n\ @end ifnottex\n\ \n\ Note also that @var{U} and @var{T} are not unique.\n\ @seealso{schur}\n\ @end deftypefn") { octave_value_list retval; if (args.length () == 2 && nargout <= 2) { if (! args(0).is_numeric_type ()) gripe_wrong_type_arg ("rsf2csf", args(0)); else if (! args(1).is_numeric_type ()) gripe_wrong_type_arg ("rsf2csf", args(1)); else if (args(0).is_complex_type () || args(1).is_complex_type ()) error ("rsf2csf: UR and TR must be real matrices"); else { if (args(0).is_single_type () || args(1).is_single_type ()) { FloatMatrix u = args(0).float_matrix_value (); FloatMatrix t = args(1).float_matrix_value (); if (! error_state) { FloatComplexSCHUR cs (FloatSCHUR (t, u)); retval(1) = cs.schur_matrix (); retval(0) = cs.unitary_matrix (); } } else { Matrix u = args(0).matrix_value (); Matrix t = args(1).matrix_value (); if (! error_state) { ComplexSCHUR cs (SCHUR (t, u)); retval(1) = cs.schur_matrix (); retval(0) = cs.unitary_matrix (); } } } } else print_usage (); return retval; } /* %!test %! A = [1, 1, 1, 2; 1, 2, 1, 1; 1, 1, 3, 1; -2, 1, 1, 1]; %! [u, t] = schur (A); %! [U, T] = rsf2csf (u, t); %! assert (norm (u * t * u' - U * T * U'), 0, 1e-12); %! assert (norm (A - U * T * U'), 0, 1e-12); %!test %! A = rand (10); %! [u, t] = schur (A); %! [U, T] = rsf2csf (u, t); %! assert (norm (tril (T, -1)), 0); %! assert (norm (U * U'), 1, 1e-14); %!test %! A = [0, 1;-1, 0]; %! [u, t] = schur (A); %! [U, T] = rsf2csf (u,t); %! assert (U * T * U', A, 1e-14); */