Mercurial > octave-libtiff
view libinterp/corefcn/xpow.cc @ 31215:0fb5ca242d66
__tiff__.cc: added documentation to all internal functions
* libtinterp/corefcn/__tiff__.cc: Added documentation to all internal
functions to enable using help and print_usage.
author | magedrifaat <magedrifaat@gmail.com> |
---|---|
date | Wed, 07 Sep 2022 18:00:04 +0200 |
parents | 014030798d5e |
children |
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//////////////////////////////////////////////////////////////////////// // // Copyright (C) 1993-2022 The Octave Project Developers // // See the file COPYRIGHT.md in the top-level directory of this // distribution or <https://octave.org/copyright/>. // // 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 // <https://www.gnu.org/licenses/>. // //////////////////////////////////////////////////////////////////////// #if defined (HAVE_CONFIG_H) # include "config.h" #endif #include <cassert> #include <limits> #include "Array-util.h" #include "CColVector.h" #include "CDiagMatrix.h" #include "fCDiagMatrix.h" #include "fCMatrix.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 "mx-fcm-fcdm.h" #include "oct-cmplx.h" #include "Range.h" #include "quit.h" #include "error.h" #include "ovl.h" #include "utils.h" #include "xpow.h" #include "bsxfun.h" OCTAVE_NAMESPACE_BEGIN static void err_failed_diagonalization (void) { error ("Failed to diagonalize matrix while calculating matrix exponential"); } static void err_nonsquare_matrix (void) { error ("for x^y, only square matrix arguments are permitted and one " \ "argument must be scalar. Use .^ for elementwise power."); } template <typename T> static inline bool xisint (T x) { return (octave::math::x_nint (x) == x && x <= std::numeric_limits<int>::max () && x >= std::numeric_limits<int>::min ()); } static inline bool xisint (float x) { static const float out_of_range_top = static_cast<float>(std::numeric_limits<int>::max ()) + 1.; return (octave::math::x_nint (x) == x && x < out_of_range_top && x >= std::numeric_limits<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 acplx (a); return std::pow (acplx, 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG b_eig (b); try { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); ComplexDiagMatrix D (lambda); ComplexMatrix C = Q * D * Q.inverse (); if (a > 0) retval = real (C); else retval = C; } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG b_eig (b); try { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); if (bint == 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 (bint < 0) { bint = -bint; 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); bint--; while (bint > 0) { if (bint & 1) // Use atmp * result instead of result * atmp // for ML compatibility (bug #52706). result = atmp * result; bint >>= 1; if (bint > 0) atmp = atmp * atmp; } retval = result; } } else { EIG a_eig (a); try { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); DiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (a.dgxelem (i), bint); retval = r; } else { ComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (static_cast<Complex> (a.dgxelem (i)), b); retval = r; } return retval; } // -*- 5p -*- octave_value xpow (const PermMatrix& a, double b) { if (xisint (b)) return a.power (static_cast<int> (b)); 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG a_eig (a); try { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG b_eig (b); try { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG b_eig (b); try { ComplexColumnVector lambda (b_eig.eigenvalues ()); ComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); ComplexDiagMatrix D (lambda); retval = ComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); if (bint == 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 (bint < 0) { bint = -bint; 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); bint--; while (bint > 0) { if (bint & 1) // Use atmp * result instead of result * atmp // for ML compatibility (bug #52706). result = atmp * result; bint >>= 1; if (bint > 0) atmp = atmp * atmp; } retval = result; } } else { EIG a_eig (a); try { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); EIG a_eig (a); try { ComplexColumnVector lambda (a_eig.eigenvalues ()); ComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return Matrix (); if (nr != nc) err_nonsquare_matrix (); ComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (a.dgxelem (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 acplx (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 (acplx, 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 acplx (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 (acplx, 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 octave::range<double>& r) { octave_value retval; // Only optimize powers with ranges that are integer and monotonic in // magnitude. if (r.numel () > 1 && r.all_elements_are_ints () && same_sign (r.base (), r.limit ())) { octave_idx_type n = r.numel (); Matrix result (1, n); if (same_sign (r.base (), r.increment ())) { double base = std::pow (a, r.base ()); double inc = std::pow (a, r.increment ()); result(0) = base; for (octave_idx_type i = 1; i < n; i++) result(i) = (base *= inc); } else { double limit = std::pow (a, r.final_value ()); double inc = std::pow (a, -r.increment ()); result(n-1) = limit; for (octave_idx_type i = n-2; i >= 0; i--) result(i) = (limit *= inc); } retval = result; } else { Matrix tmp = r.array_value (); retval = elem_xpow (a, tmp); } 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 acplx (a(i, j)); result(i, j) = std::pow (acplx, 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); bool convert_to_complex = false; 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 && ! xisint (btmp)) { convert_to_complex = true; 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 acplx (a(i, j)); Complex bcplx (b(i, j)); complex_result(i, j) = std::pow (acplx, bcplx); } 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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 octave::range<double>& r) { octave_value retval; // Only optimize powers with ranges that are integer and monotonic in // magnitude. if (r.numel () > 1 && r.all_elements_are_ints () && same_sign (r.base (), r.limit ())) { octave_idx_type n = r.numel (); ComplexMatrix result (1, n); if (same_sign (r.base (), r.increment ())) { Complex base = std::pow (a, r.base ()); Complex inc = std::pow (a, r.increment ()); result(0) = base; for (octave_idx_type i = 1; i < n; i++) result(i) = (base *= inc); } else { Complex limit = std::pow (a, r.final_value ()); Complex inc = std::pow (a, -r.increment ()); result(n-1) = limit; for (octave_idx_type i = n-2; i >= 0; i--) result(i) = (limit *= inc); } retval = result; } else { Matrix tmp = r.array_value (); retval = elem_xpow (a, tmp); } 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)) { int bint = static_cast<int> (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), bint); } } 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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 acplx (a); ComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.numel (); i++) { octave_quit (); result(i) = std::pow (acplx, b(i)); } retval = result; } else { NDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.numel (); 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.numel (); 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)) { NDArray result (a.dims ()); int bint = static_cast<int> (b); if (bint == 2) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = a(i) * a(i); } else if (bint == 3) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = a(i) * a(i) * a(i); } else if (bint == -1) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = 1.0 / a(i); } else { for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result.xelem (i) = std::pow (a(i), bint); } } retval = result; } else { if (a.any_element_is_negative ()) { ComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); Complex acplx (a(i)); result(i) = std::pow (acplx, b); } retval = result; } else { NDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", 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)); } int len = a.numel (); 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 && ! xisint (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 acplx (a(i)); complex_result(i) = std::pow (acplx, 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.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); 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.numel (); 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.numel (); 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)) { int bint = static_cast<int> (b); if (bint == -1) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = 1.0 / a(i); } else { for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), bint); } } } else { for (octave_idx_type i = 0; i < a.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); 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.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } ComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; } // 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 acplx (a); return std::pow (acplx, 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG b_eig (b); try { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); FloatComplexDiagMatrix D (lambda); FloatComplexMatrix C = Q * D * Q.inverse (); if (a > 0) retval = real (C); else retval = C; } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG b_eig (b); try { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); if (bint == 0) { retval = FloatDiagMatrix (nr, nr, 1.0f); } else { // Too much copying? // FIXME: we shouldn't do this if the exponent is large... FloatMatrix atmp; if (bint < 0) { bint = -bint; 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); bint--; while (bint > 0) { if (bint & 1) // Use atmp * result instead of result * atmp // for ML compatibility (bug #52706). result = atmp * result; bint >>= 1; if (bint > 0) atmp = atmp * atmp; } retval = result; } } else { FloatEIG a_eig (a); try { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); FloatDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (a.dgxelem (i), bint); retval = r; } else { FloatComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (static_cast<FloatComplex> (a.dgxelem (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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG a_eig (a); try { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG b_eig (b); try { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG b_eig (b); try { FloatComplexColumnVector lambda (b_eig.eigenvalues ()); FloatComplexMatrix Q (b_eig.right_eigenvectors ()); for (octave_idx_type i = 0; i < nr; i++) lambda(i) = std::pow (a, lambda(i)); FloatComplexDiagMatrix D (lambda); retval = FloatComplexMatrix (Q * D * Q.inverse ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); if (xisint (b)) { int bint = static_cast<int> (b); if (bint == 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 (bint < 0) { bint = -bint; 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); bint--; while (bint > 0) { if (bint & 1) // Use atmp * result instead of result * atmp // for ML compatibility (bug #52706). result = atmp * result; bint >>= 1; if (bint > 0) atmp = atmp * atmp; } retval = result; } } else { FloatEIG a_eig (a); try { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatEIG a_eig (a); try { FloatComplexColumnVector lambda (a_eig.eigenvalues ()); FloatComplexMatrix Q (a_eig.right_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 ()); } catch (const octave::execution_exception&) { err_failed_diagonalization (); } 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) return FloatMatrix (); if (nr != nc) err_nonsquare_matrix (); FloatComplexDiagMatrix r (nr, nc); for (octave_idx_type i = 0; i < nc; i++) r.dgxelem (i) = std::pow (a.dgxelem (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 acplx (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 (acplx, 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 acplx (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 (acplx, 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 acplx (a(i, j)); result(i, j) = std::pow (acplx, 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); bool convert_to_complex = false; 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 && ! xisint (btmp)) { convert_to_complex = true; 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 acplx (a(i, j)); FloatComplex bcplx (b(i, j)); complex_result(i, j) = std::pow (acplx, bcplx); } 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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)) { int bint = static_cast<int> (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), bint); } } 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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) octave::err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); 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 acplx (a); FloatComplexNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.numel (); i++) { octave_quit (); result(i) = std::pow (acplx, b(i)); } retval = result; } else { FloatNDArray result (b.dims ()); for (octave_idx_type i = 0; i < b.numel (); 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.numel (); 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)) { FloatNDArray result (a.dims ()); int bint = static_cast<int> (b); if (bint == 2) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = a(i) * a(i); } else if (bint == 3) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = a(i) * a(i) * a(i); } else if (bint == -1) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = 1.0f / a(i); } else { for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result.xelem (i) = std::pow (a(i), bint); } } retval = result; } else { if (a.any_element_is_negative ()) { FloatComplexNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); FloatComplex acplx (a(i)); result(i) = std::pow (acplx, b); } retval = result; } else { FloatNDArray result (a.dims ()); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), b); } 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", 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)); } int len = a.numel (); 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 && ! xisint (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 acplx (a(i)); complex_result(i) = std::pow (acplx, 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.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); 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.numel (); 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.numel (); 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)) { int bint = static_cast<int> (b); if (bint == -1) { for (octave_idx_type i = 0; i < a.numel (); i++) result.xelem (i) = 1.0f / a(i); } else { for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), bint); } } } else { for (octave_idx_type i = 0; i < a.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); 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.numel (); 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 ("operator .^", a_dims, b_dims)) octave::err_nonconformant ("operator .^", a_dims, b_dims); return bsxfun_pow (a, b); } FloatComplexNDArray result (a_dims); for (octave_idx_type i = 0; i < a.numel (); i++) { octave_quit (); result(i) = std::pow (a(i), b(i)); } return result; } OCTAVE_NAMESPACE_END