Mercurial > hg > octave-nkf
view src/xpow.cc @ 13281:834f904a3dcb
Add support for full asynchronous graphics toolkit running in a separate
thread. Add uicontrol and uipanel implementation.
* oct-mutex.h (octave_base_mutex::try_lock): New method.
(octave_mutex::try_lock): Likewise.
(octave_auto_lock::octave_auto_lock): New argument for
blocking/non-blocking locks.
(octave_auto_lock::ok): New method to test locking state.
(octave_auto_lock::operator bool): Likewise.
(octave_thread): New utility class.
* oct-mutex.cc (octave_base_mutex::try_lock): New method.
(octave_w32_mutex::try_lock): Implement it for Win32.
(octave_pthread_mutex::try_lock): Implement it for pthread.
(octave_thread): Implement new utility class.
* octave.cc (octave_main): Initialize octave_thread.
* genprops.awk (emit_get_string_array): New function.
(emit_declarations): Use it for string_array_property.
* graphics.h.in (base_property::set): New argument to control toolkit
notifying.
(property::set): Likewise.
(string_array_property::string_vector_value): New method.
(radio_property::do_set): Add warning about abbreviated radio values.
(base_graphics_toolkit::initialize): Returns bool.
(graphics_toolkit::initialize): Likewise.
(base_graphics_object::toolkit_flag): New member.
(base_graphics_object::base_graphics_object): Initialize it.
(base_graphics_object::valid_toolkit_object): New method.
(base_graphics_object::initialize, base_graphics_object::finalize,
base_graphics_object::update): Likewise.
(graphics_object::initialize, graphics_object::finalize,
graphics_object::update): Likewise.
(figure::properties::set_toolkit): Move implementation to source file.
(base_properties::get_boundingbox): Add parent size argument for optimization.
(figure::properties::get_boundingbox): Likewise.
(axes::properties::get_boundingbox): Likewise.
(figure::properties::map_from_boundingbox): New utility method.
(figure::properties::map_to_boundingbox): Likewise.
(axes::properties::get_fontsize_points): New utility method.
(text::properties::get_fontsize_points): Likewise.
(axes::properties::xlabel, axes::properties::ylabel, axes::properties::zlabel,
axes::properties::title): Don't notify toolkit on initialization.
(axes::initialize): New method override.
(uicontrol): New class.
(uipanel): Likewise.
(graphics_event::create_callback_event): New static method overload.
(graphics_event::create_set_event): New argument to prevent circular
behavior when property change is triggered from the toolkit.
(gh_manager::post_set): Likewise.
(gh_manager::do_post_set): Likewise.
(gh_manager::make_graphics_handle): New argument controlling toolkit notify.
(gh_manager::make_figure_handle): Likewise.
(gh_manager::do_make_graphics_handle): Likewise.
(gh_manager::do_make_figure_handle): Likewise.
(gh_manager::try_lock): New static method.
(gh_manager::execute_listener): Likewise.
(gh_manager::enable_event_processing): Likewise.
(gh_manager::do_try_lock): New method.
(gh_manager::do_execute_listener): Likewise.
(gh_manager::do_enable_event_processing): Likewise.
(gh_manager::event_processing): New member.
(gh_manager::execute_callback): Protect graphics_object access.
(gh_manager::auto_lock): Inherits from octave_autolock. Renamed from autolock.
(gh_manager::auto_lock::auto_lock): New blocking/non-blocking argument.
* graphics.cc (default_control_position, default_control_sliderstep,
default_panel_position): New utility functions.
(convert_font_size): New utility function.
(convert_position): Support 2D-only positions.
(lookup_object_name): Support uicontrol and uipanel.
(make_graphics_object_from_type): Likewise.
(root_figure::init_factory_properties): Likewise.
(property_list::set, property_list::lookup): Likewise.
(base_property::set): New argument controlling toolkit notifying.
(base_property::run_listeners): Call gh_manager::execute_listener, allowing
to set a property from another thread and run listeners synchronously with
octave.
(color_property::do_set): Add warning about abbreviated radio value.
(double_radio_property::do_set): Likewise.
(finalize_r, initialize_r, xinitialize): New utility functions.
(gh_manager::do_free): Calls graphics_object::finalize.
(base_graphics_toolkit::initialize): Returns bool.
(gnuplot_toolkit::initialize): Likewise.
(figure::properties::set_toolkit): Move implementation from header.
(figure::properties::get_boundingbox): New argument for parent size.
(axes::properties::get_boundingbox): Likewise.
(figure::properties::map_from_boundingbox): New utility method.
(figure::properties::map_to_boundingbox): Likewise.
(axes::properties::update_fontunits): Use convert_font_size.
(axes::properties::get_fontsize_points): New utility method.
(text::properties::get_fontsize_points): Likewise.
(axes::initialize): New method override to trigger initialization of
labels and title.
(uicontrol): New class.
(uipanel): Likewise.
(gh_manager::gh_manager): Initialize new event_processing member.
(gh_manager::do_make_graphics_handle): New argument controlling toolkit
notifying.
(gh_manager::do_make_figure_handle): Likewise.
(callback_event::callback): New member.
(callback_event::callback_event): Initialize it.
(callback_event::execute): Use it.
(set_event::notify_toolkit): New member.
(set_event::set_event): Initialize it.
(set_event::execute): Use it. Also allow to set read-only properties.
(graphics_event::create_callback_event): New static method overload.
(graphics_event::create_set_event): New argument controlling toolkit notifying.
(gh_manager::do_restore_gcbo): Rename autolock to auto_lock.
(gh_manager::do_post_callback, gh_manager::do_post_function): Likewise.
(Fishandle, Fset, Fget, F__get__): Likewise.
(F__go_figure__, F__calc_dimensions__, GO_BODY): Likewise.
(F__go_delete__, F__go_axes_init__, F__go_handles__, F__go_figure_handles__,
Favailable_graphics_toolkits, Faddlistener, Fdellistener, Faddproperty):
Likewise.
(get_property_from_handle, set_property_in_handle): Likewise.
(gh_manager::do_post_set): Likewise. New argument controlling toolkit
notifying.
(gh_manager::do_execute_listener): New method.
(gh_manager::do_enable_event_processing): Likewise.
(gh_manager::do_execute_callback): Check callback argument validity.
Rename autolock to auto_lock.
(gh_manager::do_process_events): Execute drawnow at the end of event
processing loop, avoiding recursivity. Maintain the input event hook
if gh_manager::event_processing is non zero.
(make_graphics_object): Postpone object's toolkit initialization at
the end of the object creation.
(F__go_figure__): Likewise.
(F__go_uicontrol__, F__go_uipanel__): New functions.
* __init_fltk__.cc (fltk_graphics_toolkit::initialise): New method.
* gl-render.h (opengl_renderer::draw): New argument to identify top-level
calls.
(opengl_renderer::draw_uipanel): New method.
(opengl_renderer::init_gl_context): Likewise.
* gl-render.cc (opengl_renderer::draw): New argument to identify top-level
calls. Skip uicontrol objects. Handle uipanel objects when top-level.
(opengl_renderer::init_gl_context): New method.
(opengl_renderer::draw_figure): Use it.
(opengl_renderer::draw_uipanel): New method.
author | Michael Goffioul <michael.goffioul@gmail.com> |
---|---|
date | Thu, 06 Oct 2011 16:44:18 +0100 |
parents | 15eefbd9d4e8 |
children | 1bf8c244040a |
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/* Copyright (C) 1993-2011 John W. Eaton Copyright (C) 2009-2010 VZLU Prague 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 <cassert> #include <climits> #include "Array-util.h" #include "CColVector.h" #include "CDiagMatrix.h" #include "fCDiagMatrix.h" #include "CMatrix.h" #include "EIG.h" #include "fEIG.h" #include "dDiagMatrix.h" #include "fDiagMatrix.h" #include "dMatrix.h" #include "PermMatrix.h" #include "mx-cm-cdm.h" #include "oct-cmplx.h" #include "Range.h" #include "quit.h" #include "error.h" #include "oct-obj.h" #include "utils.h" #include "xpow.h" #include "bsxfun.h" #ifdef _OPENMP #include <omp.h> #endif static inline int xisint (double x) { return (D_NINT (x) == x && ((x >= 0 && x < INT_MAX) || (x <= 0 && x > INT_MIN))); } // Safer pow functions. // // op2 \ op1: s m cs cm // +-- +---+---+----+----+ // scalar | | 1 | 5 | 7 | 11 | // +---+---+----+----+ // matrix | 2 | * | 8 | * | // +---+---+----+----+ // complex_scalar | 3 | 6 | 9 | 12 | // +---+---+----+----+ // complex_matrix | 4 | * | 10 | * | // +---+---+----+----+ // -*- 1 -*- octave_value xpow (double a, double b) { double retval; if (a < 0.0 && ! xisint (b)) { Complex atmp (a); return std::pow (atmp, b); } else retval = std::pow (a, b); return retval; } // -*- 2 -*- octave_value xpow (double a, const Matrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { EIG b_eig (b); if (! error_state) { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { Complex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } ComplexDiagMatrix D (lambda); ComplexMatrix C = Q * D * Q.inverse (); if (a > 0) retval = real (C); else retval = C; } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 3 -*- octave_value xpow (double a, const Complex& b) { Complex result = std::pow (a, b); return result; } // -*- 4 -*- octave_value xpow (double a, const ComplexMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { EIG b_eig (b); if (! error_state) { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { Complex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 5 -*- octave_value xpow (const Matrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { int btmp = static_cast<int> (b); if (btmp == 0) { retval = DiagMatrix (nr, nr, 1.0); } else { // Too much copying? // FIXME -- we shouldn't do this if the exponent is // large... Matrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; double rcond = 0.0; MatrixType mattype (a); atmp = a.inverse (mattype, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; Matrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } } else { EIG a_eig (a); if (! error_state) { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } } return retval; } // -*- 5d -*- octave_value xpow (const DiagMatrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { DiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgelem (i) = std::pow (a.dgelem (i), b); retval = r; } else { ComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgelem (i) = std::pow (static_cast<Complex> (a.dgelem (i)), b); retval = r; } } return retval; } // -*- 5p -*- octave_value xpow (const PermMatrix& a, double b) { octave_value retval; int btmp = static_cast<int> (b); if (btmp == b) return a.power (btmp); else return xpow (Matrix (a), b); } // -*- 6 -*- octave_value xpow (const Matrix& a, const Complex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { EIG a_eig (a); if (! error_state) { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 7 -*- octave_value xpow (const Complex& a, double b) { Complex result; if (xisint (b)) result = std::pow (a, static_cast<int> (b)); else result = std::pow (a, b); return result; } // -*- 8 -*- octave_value xpow (const Complex& a, const Matrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { EIG b_eig (b); if (! error_state) { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { Complex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 9 -*- octave_value xpow (const Complex& a, const Complex& b) { Complex result; result = std::pow (a, b); return result; } // -*- 10 -*- octave_value xpow (const Complex& a, const ComplexMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { EIG b_eig (b); if (! error_state) { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { Complex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 11 -*- octave_value xpow (const ComplexMatrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { int btmp = static_cast<int> (b); if (btmp == 0) { retval = DiagMatrix (nr, nr, 1.0); } else { // Too much copying? // FIXME -- we shouldn't do this if the exponent is // large... ComplexMatrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; double rcond = 0.0; MatrixType mattype (a); atmp = a.inverse (mattype, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; ComplexMatrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } } else { EIG a_eig (a); if (! error_state) { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } } return retval; } // -*- 12 -*- octave_value xpow (const ComplexMatrix& a, const Complex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { EIG a_eig (a); if (! error_state) { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 12d -*- octave_value xpow (const ComplexDiagMatrix& a, const Complex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { ComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r(i, i) = std::pow (a(i, i), b); retval = r; } return retval; } // mixed octave_value xpow (const ComplexDiagMatrix& a, double b) { return xpow (a, static_cast<Complex> (b)); } octave_value xpow (const DiagMatrix& a, const Complex& b) { return xpow (ComplexDiagMatrix (a), b); } // Safer pow functions that work elementwise for matrices. // // op2 \ op1: s m cs cm // +-- +---+---+----+----+ // scalar | | * | 3 | * | 9 | // +---+---+----+----+ // matrix | 1 | 4 | 7 | 10 | // +---+---+----+----+ // complex_scalar | * | 5 | * | 11 | // +---+---+----+----+ // complex_matrix | 2 | 6 | 8 | 12 | // +---+---+----+----+ // // * -> not needed. // FIXME -- these functions need to be fixed so that things // like // // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b // // and // // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end // // produce identical results. Also, it would be nice if -1^0.5 // produced a pure imaginary result instead of a complex number with a // small real part. But perhaps that's really a problem with the math // library... // -*- 1 -*- octave_value elem_xpow (double a, const Matrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); double d1, d2; if (a < 0.0 && ! b.all_integers (d1, d2)) { Complex atmp (a); 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) = std::pow (atmp, b (i, j)); } retval = result; } else { Matrix 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) = std::pow (a, b (i, j)); } retval = result; } return retval; } // -*- 2 -*- octave_value elem_xpow (double a, const ComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); ComplexMatrix result (nr, nc); Complex atmp (a); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (atmp, b (i, j)); } return result; } static inline bool same_sign (double a, double b) { return (a >= 0 && b >= 0) || (a <= 0 && b <= 0); } octave_value elem_xpow (double a, const Range& r) { octave_value retval; // Only optimize powers with ranges that are integer and monotonic in // magnitude. if (r.nelem () > 1 && r.all_elements_are_ints () && same_sign (r.base (), r.limit ())) { octave_idx_type n = r.nelem (); Matrix result (1, n); if (same_sign (r.base (), r.inc ())) { double base = std::pow (a, r.base ()); double inc = std::pow (a, r.inc ()); result(0) = base; for (octave_idx_type i = 1; i < n; i++) result(i) = (base *= inc); } else { // Don't use Range::limit () here. double limit = std::pow (a, r.base () + (n-1) * r.inc ()); double inc = std::pow (a, -r.inc ()); result(n-1) = limit; for (octave_idx_type i = n-2; i >= 0; i--) result(i) = (limit *= inc); } retval = result; } else retval = elem_xpow (a, r.matrix_value ()); return retval; } // -*- 3 -*- octave_value elem_xpow (const Matrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (! xisint (b) && a.any_element_is_negative ()) { ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); Complex atmp (a (i, j)); result (i, j) = std::pow (atmp, b); } retval = result; } else { Matrix 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) = std::pow (a (i, j), b); } retval = result; } return retval; } // -*- 4 -*- octave_value elem_xpow (const Matrix& a, const Matrix& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } int convert_to_complex = 0; for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); double atmp = a (i, j); double btmp = b (i, j); if (atmp < 0.0 && static_cast<int> (btmp) != btmp) { convert_to_complex = 1; goto done; } } done: if (convert_to_complex) { ComplexMatrix complex_result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); Complex atmp (a (i, j)); Complex btmp (b (i, j)); complex_result (i, j) = std::pow (atmp, btmp); } retval = complex_result; } else { Matrix 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) = std::pow (a (i, j), b (i, j)); } retval = result; } return retval; } // -*- 5 -*- octave_value elem_xpow (const Matrix& a, const Complex& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); 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) = std::pow (Complex (a (i, j)), b); } return result; } // -*- 6 -*- octave_value elem_xpow (const Matrix& a, const ComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } 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) = std::pow (Complex (a (i, j)), b (i, j)); } return result; } // -*- 7 -*- octave_value elem_xpow (const Complex& a, const Matrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); double btmp = b (i, j); if (xisint (btmp)) result (i, j) = std::pow (a, static_cast<int> (btmp)); else result (i, j) = std::pow (a, btmp); } return result; } // -*- 8 -*- octave_value elem_xpow (const Complex& a, const ComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); 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) = std::pow (a, b (i, j)); } return result; } octave_value elem_xpow (const Complex& a, const Range& r) { octave_value retval; // Only optimize powers with ranges that are integer and monotonic in // magnitude. if (r.nelem () > 1 && r.all_elements_are_ints () && same_sign (r.base (), r.limit ())) { octave_idx_type n = r.nelem (); ComplexMatrix result (1, n); if (same_sign (r.base (), r.inc ())) { Complex base = std::pow (a, r.base ()); Complex inc = std::pow (a, r.inc ()); result(0) = base; for (octave_idx_type i = 1; i < n; i++) result(i) = (base *= inc); } else { // Don't use Range::limit () here. Complex limit = std::pow (a, r.base () + (n-1) * r.inc ()); Complex inc = std::pow (a, -r.inc ()); result(n-1) = limit; for (octave_idx_type i = n-2; i >= 0; i--) result(i) = (limit *= inc); } retval = result; } else retval = elem_xpow (a, r.matrix_value ()); return retval; } // -*- 9 -*- octave_value elem_xpow (const ComplexMatrix& a, double b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); ComplexMatrix result (nr, nc); if (xisint (b)) { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (a (i, j), static_cast<int> (b)); } } else { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (a (i, j), b); } } return result; } // -*- 10 -*- octave_value elem_xpow (const ComplexMatrix& a, const Matrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); double btmp = b (i, j); if (xisint (btmp)) result (i, j) = std::pow (a (i, j), static_cast<int> (btmp)); else result (i, j) = std::pow (a (i, j), btmp); } return result; } // -*- 11 -*- octave_value elem_xpow (const ComplexMatrix& a, const Complex& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); 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) = std::pow (a (i, j), b); } return result; } // -*- 12 -*- octave_value elem_xpow (const ComplexMatrix& a, const ComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } 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) = std::pow (a (i, j), b (i, j)); } return result; } // Safer pow functions that work elementwise for N-d arrays. // // op2 \ op1: s nd cs cnd // +-- +---+---+----+----+ // scalar | | * | 3 | * | 9 | // +---+---+----+----+ // N_d | 1 | 4 | 7 | 10 | // +---+---+----+----+ // complex_scalar | * | 5 | * | 11 | // +---+---+----+----+ // complex_N_d | 2 | 6 | 8 | 12 | // +---+---+----+----+ // // * -> not needed. // FIXME -- these functions need to be fixed so that things // like // // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b // // and // // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end // // produce identical results. Also, it would be nice if -1^0.5 // produced a pure imaginary result instead of a complex number with a // small real part. But perhaps that's really a problem with the math // library... // -*- 1 -*- octave_value elem_xpow (double a, const NDArray& b) { octave_value retval; if (a < 0.0 && ! b.all_integers ()) { Complex atmp (a); ComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (atmp, b(i)); } retval = result; } else { NDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result (i) = std::pow (a, b(i)); } retval = result; } return retval; } // -*- 2 -*- octave_value elem_xpow (double a, const ComplexNDArray& b) { ComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (a, b(i)); } return result; } // -*- 3 -*- octave_value elem_xpow (const NDArray& a, double b) { octave_value retval; if (! xisint (b)) { if (a.any_element_is_negative ()) { ComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); Complex atmp (a (i)); result(i) = std::pow (atmp, b); } retval = result; } else { NDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } retval = result; } } else { NoAlias<NDArray> result (a.dims ()); int ib = static_cast<int> (b); if (ib == 2) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = a(i) * a(i); } else if (ib == 3) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = a(i) * a(i) * a(i); } else if (ib == -1) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = 1.0 / a(i); } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), ib); } } retval = result; } return retval; } // -*- 4 -*- octave_value elem_xpow (const NDArray& a, const NDArray& b) { octave_value retval; dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { //Potentially complex results NDArray xa = octave_value_extract<NDArray> (a); NDArray xb = octave_value_extract<NDArray> (b); if (! xb.all_integers () && xa.any_element_is_negative ()) return octave_value (bsxfun_pow (ComplexNDArray (xa), xb)); else return octave_value (bsxfun_pow (xa, xb)); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } int len = a.length (); bool convert_to_complex = false; for (octave_idx_type i = 0; i < len; i++) { octave_quit (); double atmp = a(i); double btmp = b(i); if (atmp < 0.0 && static_cast<int> (btmp) != btmp) { convert_to_complex = true; goto done; } } done: if (convert_to_complex) { ComplexNDArray complex_result (a_dims); for (octave_idx_type i = 0; i < len; i++) { octave_quit (); Complex atmp (a(i)); complex_result(i) = std::pow (atmp, b(i)); } retval = complex_result; } else { NDArray result (a_dims); for (octave_idx_type i = 0; i < len; i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } retval = result; } return retval; } // -*- 5 -*- octave_value elem_xpow (const NDArray& a, const Complex& b) { ComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } return result; } // -*- 6 -*- octave_value elem_xpow (const NDArray& a, const ComplexNDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; } // -*- 7 -*- octave_value elem_xpow (const Complex& a, const NDArray& b) { ComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); double btmp = b(i); if (xisint (btmp)) result(i) = std::pow (a, static_cast<int> (btmp)); else result(i) = std::pow (a, btmp); } return result; } // -*- 8 -*- octave_value elem_xpow (const Complex& a, const ComplexNDArray& b) { ComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (a, b(i)); } return result; } // -*- 9 -*- octave_value elem_xpow (const ComplexNDArray& a, double b) { ComplexNDArray result (a.dims ()); if (xisint (b)) { if (b == -1) { for (octave_idx_type i = 0; i < a.length (); i++) result.xelem (i) = 1.0 / a(i); } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), static_cast<int> (b)); } } } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } } return result; } // -*- 10 -*- octave_value elem_xpow (const ComplexNDArray& a, const NDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); double btmp = b(i); if (xisint (btmp)) result(i) = std::pow (a(i), static_cast<int> (btmp)); else result(i) = std::pow (a(i), btmp); } return result; } // -*- 11 -*- octave_value elem_xpow (const ComplexNDArray& a, const Complex& b) { ComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } return result; } // -*- 12 -*- octave_value elem_xpow (const ComplexNDArray& a, const ComplexNDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; } static inline int xisint (float x) { return (D_NINT (x) == x && ((x >= 0 && x < INT_MAX) || (x <= 0 && x > INT_MIN))); } // Safer pow functions. // // op2 \ op1: s m cs cm // +-- +---+---+----+----+ // scalar | | 1 | 5 | 7 | 11 | // +---+---+----+----+ // matrix | 2 | * | 8 | * | // +---+---+----+----+ // complex_scalar | 3 | 6 | 9 | 12 | // +---+---+----+----+ // complex_matrix | 4 | * | 10 | * | // +---+---+----+----+ // -*- 1 -*- octave_value xpow (float a, float b) { float retval; if (a < 0.0 && ! xisint (b)) { FloatComplex atmp (a); return std::pow (atmp, b); } else retval = std::pow (a, b); return retval; } // -*- 2 -*- octave_value xpow (float a, const FloatMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { FloatEIG b_eig (b); if (! error_state) { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { FloatComplex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } FloatComplexDiagMatrix D (lambda); FloatComplexMatrix C = Q * D * Q.inverse (); if (a > 0) retval = real (C); else retval = C; } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 3 -*- octave_value xpow (float a, const FloatComplex& b) { FloatComplex result = std::pow (a, b); return result; } // -*- 4 -*- octave_value xpow (float a, const FloatComplexMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { FloatEIG b_eig (b); if (! error_state) { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { FloatComplex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 5 -*- octave_value xpow (const FloatMatrix& a, float b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { int btmp = static_cast<int> (b); if (btmp == 0) { retval = FloatDiagMatrix (nr, nr, 1.0); } else { // Too much copying? // FIXME -- we shouldn't do this if the exponent is // large... FloatMatrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; float rcond = 0.0; MatrixType mattype (a); atmp = a.inverse (mattype, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; FloatMatrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } } else { FloatEIG a_eig (a); if (! error_state) { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } } return retval; } // -*- 5d -*- octave_value xpow (const FloatDiagMatrix& a, float b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { FloatDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgelem (i) = std::pow (a.dgelem (i), b); retval = r; } else { FloatComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgelem (i) = std::pow (static_cast<FloatComplex> (a.dgelem (i)), b); retval = r; } } return retval; } // -*- 6 -*- octave_value xpow (const FloatMatrix& a, const FloatComplex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { FloatEIG a_eig (a); if (! error_state) { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 7 -*- octave_value xpow (const FloatComplex& a, float b) { FloatComplex result; if (xisint (b)) result = std::pow (a, static_cast<int> (b)); else result = std::pow (a, b); return result; } // -*- 8 -*- octave_value xpow (const FloatComplex& a, const FloatMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { FloatEIG b_eig (b); if (! error_state) { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { FloatComplex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 9 -*- octave_value xpow (const FloatComplex& a, const FloatComplex& b) { FloatComplex result; result = std::pow (a, b); return result; } // -*- 10 -*- octave_value xpow (const FloatComplex& a, const FloatComplexMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for x^A, A must be square"); else { FloatEIG b_eig (b); if (! error_state) { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) { FloatComplex elt = lambda(i); if (std::imag (elt) == 0.0) lambda(i) = std::pow (a, std::real (elt)); else lambda(i) = std::pow (a, elt); } FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 11 -*- octave_value xpow (const FloatComplexMatrix& a, float b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { if (static_cast<int> (b) == b) { int btmp = static_cast<int> (b); if (btmp == 0) { retval = FloatDiagMatrix (nr, nr, 1.0); } else { // Too much copying? // FIXME -- we shouldn't do this if the exponent is // large... FloatComplexMatrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; float rcond = 0.0; MatrixType mattype (a); atmp = a.inverse (mattype, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; FloatComplexMatrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } } else { FloatEIG a_eig (a); if (! error_state) { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } } return retval; } // -*- 12 -*- octave_value xpow (const FloatComplexMatrix& a, const FloatComplex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { FloatEIG a_eig (a); if (! error_state) { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (lambda(i), b); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } else error ("xpow: matrix diagonalization failed"); } return retval; } // -*- 12d -*- octave_value xpow (const FloatComplexDiagMatrix& a, const FloatComplex& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be square"); else { FloatComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r(i, i) = std::pow (a(i, i), b); retval = r; } return retval; } // mixed octave_value xpow (const FloatComplexDiagMatrix& a, float b) { return xpow (a, static_cast<FloatComplex> (b)); } octave_value xpow (const FloatDiagMatrix& a, const FloatComplex& b) { return xpow (FloatComplexDiagMatrix (a), b); } // Safer pow functions that work elementwise for matrices. // // op2 \ op1: s m cs cm // +-- +---+---+----+----+ // scalar | | * | 3 | * | 9 | // +---+---+----+----+ // matrix | 1 | 4 | 7 | 10 | // +---+---+----+----+ // complex_scalar | * | 5 | * | 11 | // +---+---+----+----+ // complex_matrix | 2 | 6 | 8 | 12 | // +---+---+----+----+ // // * -> not needed. // FIXME -- these functions need to be fixed so that things // like // // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b // // and // // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end // // produce identical results. Also, it would be nice if -1^0.5 // produced a pure imaginary result instead of a complex number with a // small real part. But perhaps that's really a problem with the math // library... // -*- 1 -*- octave_value elem_xpow (float a, const FloatMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); float d1, d2; if (a < 0.0 && ! b.all_integers (d1, d2)) { FloatComplex atmp (a); FloatComplexMatrix 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) = std::pow (atmp, b (i, j)); } retval = result; } else { FloatMatrix 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) = std::pow (a, b (i, j)); } retval = result; } return retval; } // -*- 2 -*- octave_value elem_xpow (float a, const FloatComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); FloatComplexMatrix result (nr, nc); FloatComplex atmp (a); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (atmp, b (i, j)); } return result; } // -*- 3 -*- octave_value elem_xpow (const FloatMatrix& a, float b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (! xisint (b) && a.any_element_is_negative ()) { FloatComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); FloatComplex atmp (a (i, j)); result (i, j) = std::pow (atmp, b); } retval = result; } else { FloatMatrix 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) = std::pow (a (i, j), b); } retval = result; } return retval; } // -*- 4 -*- octave_value elem_xpow (const FloatMatrix& a, const FloatMatrix& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } int convert_to_complex = 0; for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); float atmp = a (i, j); float btmp = b (i, j); if (atmp < 0.0 && static_cast<int> (btmp) != btmp) { convert_to_complex = 1; goto done; } } done: if (convert_to_complex) { FloatComplexMatrix complex_result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); FloatComplex atmp (a (i, j)); FloatComplex btmp (b (i, j)); complex_result (i, j) = std::pow (atmp, btmp); } retval = complex_result; } else { FloatMatrix 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) = std::pow (a (i, j), b (i, j)); } retval = result; } return retval; } // -*- 5 -*- octave_value elem_xpow (const FloatMatrix& a, const FloatComplex& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); FloatComplexMatrix 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) = std::pow (FloatComplex (a (i, j)), b); } return result; } // -*- 6 -*- octave_value elem_xpow (const FloatMatrix& a, const FloatComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } FloatComplexMatrix 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) = std::pow (FloatComplex (a (i, j)), b (i, j)); } return result; } // -*- 7 -*- octave_value elem_xpow (const FloatComplex& a, const FloatMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); FloatComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); float btmp = b (i, j); if (xisint (btmp)) result (i, j) = std::pow (a, static_cast<int> (btmp)); else result (i, j) = std::pow (a, btmp); } return result; } // -*- 8 -*- octave_value elem_xpow (const FloatComplex& a, const FloatComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); FloatComplexMatrix 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) = std::pow (a, b (i, j)); } return result; } // -*- 9 -*- octave_value elem_xpow (const FloatComplexMatrix& a, float b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); FloatComplexMatrix result (nr, nc); if (xisint (b)) { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (a (i, j), static_cast<int> (b)); } } else { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (a (i, j), b); } } return result; } // -*- 10 -*- octave_value elem_xpow (const FloatComplexMatrix& a, const FloatMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } FloatComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); float btmp = b (i, j); if (xisint (btmp)) result (i, j) = std::pow (a (i, j), static_cast<int> (btmp)); else result (i, j) = std::pow (a (i, j), btmp); } return result; } // -*- 11 -*- octave_value elem_xpow (const FloatComplexMatrix& a, const FloatComplex& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); FloatComplexMatrix 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) = std::pow (a (i, j), b); } return result; } // -*- 12 -*- octave_value elem_xpow (const FloatComplexMatrix& a, const FloatComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (nr != b_nr || nc != b_nc) { gripe_nonconformant ("operator .^", nr, nc, b_nr, b_nc); return octave_value (); } FloatComplexMatrix 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) = std::pow (a (i, j), b (i, j)); } return result; } // Safer pow functions that work elementwise for N-d arrays. // // op2 \ op1: s nd cs cnd // +-- +---+---+----+----+ // scalar | | * | 3 | * | 9 | // +---+---+----+----+ // N_d | 1 | 4 | 7 | 10 | // +---+---+----+----+ // complex_scalar | * | 5 | * | 11 | // +---+---+----+----+ // complex_N_d | 2 | 6 | 8 | 12 | // +---+---+----+----+ // // * -> not needed. // FIXME -- these functions need to be fixed so that things // like // // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b // // and // // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end // // produce identical results. Also, it would be nice if -1^0.5 // produced a pure imaginary result instead of a complex number with a // small real part. But perhaps that's really a problem with the math // library... // -*- 1 -*- octave_value elem_xpow (float a, const FloatNDArray& b) { octave_value retval; if (a < 0.0 && ! b.all_integers ()) { FloatComplex atmp (a); FloatComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (atmp, b(i)); } retval = result; } else { FloatNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result (i) = std::pow (a, b(i)); } retval = result; } return retval; } // -*- 2 -*- octave_value elem_xpow (float a, const FloatComplexNDArray& b) { FloatComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (a, b(i)); } return result; } // -*- 3 -*- octave_value elem_xpow (const FloatNDArray& a, float b) { octave_value retval; if (! xisint (b)) { if (a.any_element_is_negative ()) { FloatComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); FloatComplex atmp (a (i)); result(i) = std::pow (atmp, b); } retval = result; } else { FloatNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } retval = result; } } else { NoAlias<FloatNDArray> result (a.dims ()); int ib = static_cast<int> (b); if (ib == 2) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = a(i) * a(i); } else if (ib == 3) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = a(i) * a(i) * a(i); } else if (ib == -1) { for (octave_idx_type i = 0; i < a.length (); i++) result(i) = 1.0f / a(i); } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), ib); } } retval = result; } return retval; } // -*- 4 -*- octave_value elem_xpow (const FloatNDArray& a, const FloatNDArray& b) { octave_value retval; dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { //Potentially complex results FloatNDArray xa = octave_value_extract<FloatNDArray> (a); FloatNDArray xb = octave_value_extract<FloatNDArray> (b); if (! xb.all_integers () && xa.any_element_is_negative ()) return octave_value (bsxfun_pow (FloatComplexNDArray (xa), xb)); else return octave_value (bsxfun_pow (xa, xb)); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } int len = a.length (); bool convert_to_complex = false; for (octave_idx_type i = 0; i < len; i++) { octave_quit (); float atmp = a(i); float btmp = b(i); if (atmp < 0.0 && static_cast<int> (btmp) != btmp) { convert_to_complex = true; goto done; } } done: if (convert_to_complex) { FloatComplexNDArray complex_result (a_dims); for (octave_idx_type i = 0; i < len; i++) { octave_quit (); FloatComplex atmp (a(i)); complex_result(i) = std::pow (atmp, b(i)); } retval = complex_result; } else { FloatNDArray result (a_dims); for (octave_idx_type i = 0; i < len; i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } retval = result; } return retval; } // -*- 5 -*- octave_value elem_xpow (const FloatNDArray& a, const FloatComplex& b) { FloatComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } return result; } // -*- 6 -*- octave_value elem_xpow (const FloatNDArray& a, const FloatComplexNDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; } // -*- 7 -*- octave_value elem_xpow (const FloatComplex& a, const FloatNDArray& b) { FloatComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); float btmp = b(i); if (xisint (btmp)) result(i) = std::pow (a, static_cast<int> (btmp)); else result(i) = std::pow (a, btmp); } return result; } // -*- 8 -*- octave_value elem_xpow (const FloatComplex& a, const FloatComplexNDArray& b) { FloatComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.length (); i++) { octave_quit (); result(i) = std::pow (a, b(i)); } return result; } // -*- 9 -*- octave_value elem_xpow (const FloatComplexNDArray& a, float b) { FloatComplexNDArray result (a.dims ()); if (xisint (b)) { if (b == -1) { for (octave_idx_type i = 0; i < a.length (); i++) result.xelem (i) = 1.0f / a(i); } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), static_cast<int> (b)); } } } else { for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } } return result; } // -*- 10 -*- octave_value elem_xpow (const FloatComplexNDArray& a, const FloatNDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); float btmp = b(i); if (xisint (btmp)) result(i) = std::pow (a(i), static_cast<int> (btmp)); else result(i) = std::pow (a(i), btmp); } return result; } // -*- 11 -*- octave_value elem_xpow (const FloatComplexNDArray& a, const FloatComplex& b) { FloatComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } return result; } // -*- 12 -*- octave_value elem_xpow (const FloatComplexNDArray& a, const FloatComplexNDArray& b) { dim_vector a_dims = a.dims (); dim_vector b_dims = b.dims (); if (a_dims != b_dims) { if (is_valid_bsxfun (a_dims, b_dims)) { return bsxfun_pow (a, b); } else { gripe_nonconformant ("operator .^", a_dims, b_dims); return octave_value (); } } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.length (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; }