Mercurial > octave-libgccjit
diff liboctave/dMatrix.cc @ 5275:23b37da9fd5b
[project @ 2005-04-08 16:07:35 by jwe]
| author | jwe |
|---|---|
| date | Fri, 08 Apr 2005 16:07:37 +0000 |
| parents | e35b034d3523 |
| children | 4c8a2e4e0717 |
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--- a/liboctave/dMatrix.cc Thu Apr 07 21:51:37 2005 +0000 +++ b/liboctave/dMatrix.cc Fri Apr 08 16:07:37 2005 +0000 @@ -58,15 +58,15 @@ { F77_RET_T F77_FUNC (dgebal, DGEBAL) (F77_CONST_CHAR_ARG_DECL, - const int&, double*, const int&, int&, - int&, double*, int& + const octave_idx_type&, double*, const octave_idx_type&, octave_idx_type&, + octave_idx_type&, double*, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T F77_FUNC (dgebak, DGEBAK) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, - const int&, const int&, const int&, double*, - const int&, double*, const int&, int& + const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, double*, + const octave_idx_type&, double*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); @@ -74,38 +74,38 @@ F77_RET_T F77_FUNC (dgemm, DGEMM) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, - const int&, const int&, const int&, - const double&, const double*, const int&, - const double*, const int&, const double&, - double*, const int& + const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, + const double&, const double*, const octave_idx_type&, + const double*, const octave_idx_type&, const double&, + double*, const octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T - F77_FUNC (dgetrf, DGETRF) (const int&, const int&, double*, const int&, - int*, int&); + F77_FUNC (dgetrf, DGETRF) (const octave_idx_type&, const octave_idx_type&, double*, const octave_idx_type&, + octave_idx_type*, octave_idx_type&); F77_RET_T - F77_FUNC (dgetrs, DGETRS) (F77_CONST_CHAR_ARG_DECL, const int&, const int&, - const double*, const int&, - const int*, double*, const int&, int& + F77_FUNC (dgetrs, DGETRS) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, const octave_idx_type&, + const double*, const octave_idx_type&, + const octave_idx_type*, double*, const octave_idx_type&, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T - F77_FUNC (dgetri, DGETRI) (const int&, double*, const int&, const int*, - double*, const int&, int&); + F77_FUNC (dgetri, DGETRI) (const octave_idx_type&, double*, const octave_idx_type&, const octave_idx_type*, + double*, const octave_idx_type&, octave_idx_type&); F77_RET_T - F77_FUNC (dgecon, DGECON) (F77_CONST_CHAR_ARG_DECL, const int&, double*, - const int&, const double&, double&, - double*, int*, int& + F77_FUNC (dgecon, DGECON) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, double*, + const octave_idx_type&, const double&, double&, + double*, octave_idx_type*, octave_idx_type& F77_CHAR_ARG_LEN_DECL); F77_RET_T - F77_FUNC (dgelss, DGELSS) (const int&, const int&, const int&, - double*, const int&, double*, - const int&, double*, double&, int&, - double*, const int&, int&); + F77_FUNC (dgelss, DGELSS) (const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, + double*, const octave_idx_type&, double*, + const octave_idx_type&, double*, double&, octave_idx_type&, + double*, const octave_idx_type&, octave_idx_type&); // Note that the original complex fft routines were not written for // double complex arguments. They have been modified by adding an @@ -113,13 +113,13 @@ // each subroutine. F77_RET_T - F77_FUNC (cffti, CFFTI) (const int&, Complex*); + F77_FUNC (cffti, CFFTI) (const octave_idx_type&, Complex*); F77_RET_T - F77_FUNC (cfftf, CFFTF) (const int&, Complex*, Complex*); + F77_FUNC (cfftf, CFFTF) (const octave_idx_type&, Complex*, Complex*); F77_RET_T - F77_FUNC (cfftb, CFFTB) (const int&, Complex*, Complex*); + F77_FUNC (cfftb, CFFTB) (const octave_idx_type&, Complex*, Complex*); F77_RET_T F77_FUNC (dlartg, DLARTG) (const double&, const double&, double&, @@ -128,17 +128,17 @@ F77_RET_T F77_FUNC (dtrsyl, DTRSYL) (F77_CONST_CHAR_ARG_DECL, F77_CONST_CHAR_ARG_DECL, - const int&, const int&, const int&, - const double*, const int&, const double*, - const int&, const double*, const int&, - double&, int& + const octave_idx_type&, const octave_idx_type&, const octave_idx_type&, + const double*, const octave_idx_type&, const double*, + const octave_idx_type&, const double*, const octave_idx_type&, + double&, octave_idx_type& F77_CHAR_ARG_LEN_DECL F77_CHAR_ARG_LEN_DECL); F77_RET_T - F77_FUNC (xdlange, XDLANGE) (F77_CONST_CHAR_ARG_DECL, const int&, - const int&, const double*, - const int&, double*, double& + F77_FUNC (xdlange, XDLANGE) (F77_CONST_CHAR_ARG_DECL, const octave_idx_type&, + const octave_idx_type&, const double*, + const octave_idx_type&, double*, double& F77_CHAR_ARG_LEN_DECL); } @@ -147,21 +147,21 @@ Matrix::Matrix (const RowVector& rv) : MArray2<double> (1, rv.length (), 0.0) { - for (int i = 0; i < rv.length (); i++) + for (octave_idx_type i = 0; i < rv.length (); i++) elem (0, i) = rv.elem (i); } Matrix::Matrix (const ColumnVector& cv) : MArray2<double> (cv.length (), 1, 0.0) { - for (int i = 0; i < cv.length (); i++) + for (octave_idx_type i = 0; i < cv.length (); i++) elem (i, 0) = cv.elem (i); } Matrix::Matrix (const DiagMatrix& a) : MArray2<double> (a.rows (), a.cols (), 0.0) { - for (int i = 0; i < a.length (); i++) + for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) = a.elem (i, i); } @@ -171,16 +171,16 @@ Matrix::Matrix (const boolMatrix& a) : MArray2<double> (a.rows (), a.cols ()) { - for (int i = 0; i < a.rows (); i++) - for (int j = 0; j < a.cols (); j++) + for (octave_idx_type i = 0; i < a.rows (); i++) + for (octave_idx_type j = 0; j < a.cols (); j++) elem (i, j) = a.elem (i, j); } Matrix::Matrix (const charMatrix& a) : MArray2<double> (a.rows (), a.cols ()) { - for (int i = 0; i < a.rows (); i++) - for (int j = 0; j < a.cols (); j++) + for (octave_idx_type i = 0; i < a.rows (); i++) + for (octave_idx_type j = 0; j < a.cols (); j++) elem (i, j) = a.elem (i, j); } @@ -204,8 +204,8 @@ { if (is_square () && rows () > 0) { - for (int i = 0; i < rows (); i++) - for (int j = i+1; j < cols (); j++) + for (octave_idx_type i = 0; i < rows (); i++) + for (octave_idx_type j = i+1; j < cols (); j++) if (elem (i, j) != elem (j, i)) return false; @@ -216,16 +216,16 @@ } Matrix& -Matrix::insert (const Matrix& a, int r, int c) +Matrix::insert (const Matrix& a, octave_idx_type r, octave_idx_type c) { Array2<double>::insert (a, r, c); return *this; } Matrix& -Matrix::insert (const RowVector& a, int r, int c) +Matrix::insert (const RowVector& a, octave_idx_type r, octave_idx_type c) { - int a_len = a.length (); + octave_idx_type a_len = a.length (); if (r < 0 || r >= rows () || c < 0 || c + a_len > cols ()) { @@ -237,7 +237,7 @@ { make_unique (); - for (int i = 0; i < a_len; i++) + for (octave_idx_type i = 0; i < a_len; i++) xelem (r, c+i) = a.elem (i); } @@ -245,9 +245,9 @@ } Matrix& -Matrix::insert (const ColumnVector& a, int r, int c) +Matrix::insert (const ColumnVector& a, octave_idx_type r, octave_idx_type c) { - int a_len = a.length (); + octave_idx_type a_len = a.length (); if (r < 0 || r + a_len > rows () || c < 0 || c >= cols ()) { @@ -259,7 +259,7 @@ { make_unique (); - for (int i = 0; i < a_len; i++) + for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c) = a.elem (i); } @@ -267,10 +267,10 @@ } Matrix& -Matrix::insert (const DiagMatrix& a, int r, int c) +Matrix::insert (const DiagMatrix& a, octave_idx_type r, octave_idx_type c) { - int a_nr = a.rows (); - int a_nc = a.cols (); + octave_idx_type a_nr = a.rows (); + octave_idx_type a_nc = a.cols (); if (r < 0 || r + a_nr > rows () || c < 0 || c + a_nc > cols ()) { @@ -280,13 +280,13 @@ fill (0.0, r, c, r + a_nr - 1, c + a_nc - 1); - int a_len = a.length (); + octave_idx_type a_len = a.length (); if (a_len > 0) { make_unique (); - for (int i = 0; i < a_len; i++) + for (octave_idx_type i = 0; i < a_len; i++) xelem (r+i, c+i) = a.elem (i, i); } @@ -296,15 +296,15 @@ Matrix& Matrix::fill (double val) { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { make_unique (); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) xelem (i, j) = val; } @@ -312,10 +312,10 @@ } Matrix& -Matrix::fill (double val, int r1, int c1, int r2, int c2) +Matrix::fill (double val, octave_idx_type r1, octave_idx_type c1, octave_idx_type r2, octave_idx_type c2) { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (r1 < 0 || r2 < 0 || c1 < 0 || c2 < 0 || r1 >= nr || r2 >= nr || c1 >= nc || c2 >= nc) @@ -324,15 +324,15 @@ return *this; } - if (r1 > r2) { int tmp = r1; r1 = r2; r2 = tmp; } - if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } + if (r1 > r2) { octave_idx_type tmp = r1; r1 = r2; r2 = tmp; } + if (c1 > c2) { octave_idx_type tmp = c1; c1 = c2; c2 = tmp; } if (r2 >= r1 && c2 >= c1) { make_unique (); - for (int j = c1; j <= c2; j++) - for (int i = r1; i <= r2; i++) + for (octave_idx_type j = c1; j <= c2; j++) + for (octave_idx_type i = r1; i <= r2; i++) xelem (i, j) = val; } @@ -342,15 +342,15 @@ Matrix Matrix::append (const Matrix& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return Matrix (); } - int nc_insert = nc; + octave_idx_type nc_insert = nc; Matrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); @@ -360,15 +360,15 @@ Matrix Matrix::append (const RowVector& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr != 1) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return Matrix (); } - int nc_insert = nc; + octave_idx_type nc_insert = nc; Matrix retval (nr, nc + a.length ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); @@ -378,15 +378,15 @@ Matrix Matrix::append (const ColumnVector& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr != a.length ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return Matrix (); } - int nc_insert = nc; + octave_idx_type nc_insert = nc; Matrix retval (nr, nc + 1); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); @@ -396,15 +396,15 @@ Matrix Matrix::append (const DiagMatrix& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr != a.rows ()) { (*current_liboctave_error_handler) ("row dimension mismatch for append"); return *this; } - int nc_insert = nc; + octave_idx_type nc_insert = nc; Matrix retval (nr, nc + a.cols ()); retval.insert (*this, 0, 0); retval.insert (a, 0, nc_insert); @@ -414,8 +414,8 @@ Matrix Matrix::stack (const Matrix& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) @@ -423,7 +423,7 @@ return Matrix (); } - int nr_insert = nr; + octave_idx_type nr_insert = nr; Matrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); @@ -433,8 +433,8 @@ Matrix Matrix::stack (const RowVector& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nc != a.length ()) { (*current_liboctave_error_handler) @@ -442,7 +442,7 @@ return Matrix (); } - int nr_insert = nr; + octave_idx_type nr_insert = nr; Matrix retval (nr + 1, nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); @@ -452,8 +452,8 @@ Matrix Matrix::stack (const ColumnVector& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nc != 1) { (*current_liboctave_error_handler) @@ -461,7 +461,7 @@ return Matrix (); } - int nr_insert = nr; + octave_idx_type nr_insert = nr; Matrix retval (nr + a.length (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); @@ -471,8 +471,8 @@ Matrix Matrix::stack (const DiagMatrix& a) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nc != a.cols ()) { (*current_liboctave_error_handler) @@ -480,7 +480,7 @@ return Matrix (); } - int nr_insert = nr; + octave_idx_type nr_insert = nr; Matrix retval (nr + a.rows (), nc); retval.insert (*this, 0, 0); retval.insert (a, nr_insert, 0); @@ -490,7 +490,7 @@ Matrix real (const ComplexMatrix& a) { - int a_len = a.length (); + octave_idx_type a_len = a.length (); Matrix retval; if (a_len > 0) retval = Matrix (mx_inline_real_dup (a.data (), a_len), @@ -501,7 +501,7 @@ Matrix imag (const ComplexMatrix& a) { - int a_len = a.length (); + octave_idx_type a_len = a.length (); Matrix retval; if (a_len > 0) retval = Matrix (mx_inline_imag_dup (a.data (), a_len), @@ -510,30 +510,30 @@ } Matrix -Matrix::extract (int r1, int c1, int r2, int c2) const +Matrix::extract (octave_idx_type r1, octave_idx_type c1, octave_idx_type r2, octave_idx_type c2) const { - if (r1 > r2) { int tmp = r1; r1 = r2; r2 = tmp; } - if (c1 > c2) { int tmp = c1; c1 = c2; c2 = tmp; } - - int new_r = r2 - r1 + 1; - int new_c = c2 - c1 + 1; + if (r1 > r2) { octave_idx_type tmp = r1; r1 = r2; r2 = tmp; } + if (c1 > c2) { octave_idx_type tmp = c1; c1 = c2; c2 = tmp; } + + octave_idx_type new_r = r2 - r1 + 1; + octave_idx_type new_c = c2 - c1 + 1; Matrix result (new_r, new_c); - for (int j = 0; j < new_c; j++) - for (int i = 0; i < new_r; i++) + for (octave_idx_type j = 0; j < new_c; j++) + for (octave_idx_type i = 0; i < new_r; i++) result.xelem (i, j) = elem (r1+i, c1+j); return result; } Matrix -Matrix::extract_n (int r1, int c1, int nr, int nc) const +Matrix::extract_n (octave_idx_type r1, octave_idx_type c1, octave_idx_type nr, octave_idx_type nc) const { Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) result.xelem (i, j) = elem (r1+i, c1+j); return result; @@ -542,9 +542,9 @@ // extract row or column i. RowVector -Matrix::row (int i) const +Matrix::row (octave_idx_type i) const { - int nc = cols (); + octave_idx_type nc = cols (); if (i < 0 || i >= rows ()) { (*current_liboctave_error_handler) ("invalid row selection"); @@ -552,7 +552,7 @@ } RowVector retval (nc); - for (int j = 0; j < nc; j++) + for (octave_idx_type j = 0; j < nc; j++) retval.xelem (j) = elem (i, j); return retval; @@ -569,7 +569,7 @@ char c = *s; if (c == 'f' || c == 'F') - return row (0); + return row ( static_cast<octave_idx_type>(0) ); else if (c == 'l' || c == 'L') return row (rows () - 1); else @@ -580,9 +580,9 @@ } ColumnVector -Matrix::column (int i) const +Matrix::column (octave_idx_type i) const { - int nr = rows (); + octave_idx_type nr = rows (); if (i < 0 || i >= cols ()) { (*current_liboctave_error_handler) ("invalid column selection"); @@ -590,7 +590,7 @@ } ColumnVector retval (nr); - for (int j = 0; j < nr; j++) + for (octave_idx_type j = 0; j < nr; j++) retval.xelem (j) = elem (j, i); return retval; @@ -607,7 +607,7 @@ char c = *s; if (c == 'f' || c == 'F') - return column (0); + return column (static_cast<octave_idx_type> (0)); else if (c == 'l' || c == 'L') return column (cols () - 1); else @@ -620,38 +620,38 @@ Matrix Matrix::inverse (void) const { - int info; + octave_idx_type info; double rcond; return inverse (info, rcond, 0, 0); } Matrix -Matrix::inverse (int& info) const +Matrix::inverse (octave_idx_type& info) const { double rcond; return inverse (info, rcond, 0, 0); } Matrix -Matrix::inverse (int& info, double& rcond, int force, int calc_cond) const +Matrix::inverse (octave_idx_type& info, double& rcond, int force, int calc_cond) const { Matrix retval; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr != nc || nr == 0 || nc == 0) (*current_liboctave_error_handler) ("inverse requires square matrix"); else { - Array<int> ipvt (nr); - int *pipvt = ipvt.fortran_vec (); + Array<octave_idx_type> ipvt (nr); + octave_idx_type *pipvt = ipvt.fortran_vec (); retval = *this; double *tmp_data = retval.fortran_vec (); Array<double> z(1); - int lwork = -1; + octave_idx_type lwork = -1; // Query the optimum work array size. F77_XFCN (dgetri, DGETRI, (nc, tmp_data, nr, pipvt, @@ -664,7 +664,7 @@ return retval; } - lwork = static_cast<int> (z(0)); + lwork = static_cast<octave_idx_type> (z(0)); lwork = (lwork < 2 *nc ? 2*nc : lwork); z.resize (lwork); double *pz = z.fortran_vec (); @@ -674,7 +674,7 @@ // Calculate the norm of the matrix, for later use. double anorm = 0; if (calc_cond) - anorm = retval.abs().sum().row(0).max(); + anorm = retval.abs().sum().row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (dgetrf, DGETRF, (nc, nc, tmp_data, nr, pipvt, info)); @@ -688,12 +688,12 @@ info = -1; else if (calc_cond) { - int dgecon_info = 0; + octave_idx_type dgecon_info = 0; // Now calculate the condition number for non-singular matrix. char job = '1'; - Array<int> iz (nc); - int *piz = iz.fortran_vec (); + Array<octave_idx_type> iz (nc); + octave_idx_type *piz = iz.fortran_vec (); F77_XFCN (dgecon, DGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, rcond, pz, piz, dgecon_info @@ -711,7 +711,7 @@ retval = *this; // Restore matrix contents. else { - int dgetri_info = 0; + octave_idx_type dgetri_info = 0; F77_XFCN (dgetri, DGETRI, (nc, tmp_data, nr, pipvt, pz, lwork, dgetri_info)); @@ -740,9 +740,9 @@ ColumnVector sigma = S.diag (); - int r = sigma.length () - 1; - int nr = rows (); - int nc = cols (); + octave_idx_type r = sigma.length () - 1; + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (tol <= 0.0) { @@ -859,10 +859,10 @@ { ComplexMatrix retval; - int nr = rows (); - int nc = cols (); - - int npts, nsamples; + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { @@ -875,7 +875,7 @@ nsamples = nc; } - int nn = 4*npts+15; + octave_idx_type nn = 4*npts+15; Array<Complex> wsave (nn); Complex *pwsave = wsave.fortran_vec (); @@ -885,7 +885,7 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; @@ -900,10 +900,10 @@ { ComplexMatrix retval; - int nr = rows (); - int nc = cols (); - - int npts, nsamples; + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { @@ -916,7 +916,7 @@ nsamples = nc; } - int nn = 4*npts+15; + octave_idx_type nn = 4*npts+15; Array<Complex> wsave (nn); Complex *pwsave = wsave.fortran_vec (); @@ -926,14 +926,14 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; F77_FUNC (cfftb, CFFTB) (npts, &tmp_data[npts*j], pwsave); } - for (int j = 0; j < npts*nsamples; j++) + for (octave_idx_type j = 0; j < npts*nsamples; j++) tmp_data[j] = tmp_data[j] / static_cast<double> (npts); return retval; @@ -944,10 +944,10 @@ { ComplexMatrix retval; - int nr = rows (); - int nc = cols (); - - int npts, nsamples; + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { @@ -960,7 +960,7 @@ nsamples = nc; } - int nn = 4*npts+15; + octave_idx_type nn = 4*npts+15; Array<Complex> wsave (nn); Complex *pwsave = wsave.fortran_vec (); @@ -970,7 +970,7 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; @@ -989,16 +989,16 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; - for (int i = 0; i < npts; i++) + for (octave_idx_type i = 0; i < npts; i++) prow[i] = tmp_data[i*nr + j]; F77_FUNC (cfftf, CFFTF) (npts, prow, pwsave); - for (int i = 0; i < npts; i++) + for (octave_idx_type i = 0; i < npts; i++) tmp_data[i*nr + j] = prow[i]; } @@ -1010,10 +1010,10 @@ { ComplexMatrix retval; - int nr = rows (); - int nc = cols (); - - int npts, nsamples; + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type npts, nsamples; if (nr == 1 || nc == 1) { @@ -1026,7 +1026,7 @@ nsamples = nc; } - int nn = 4*npts+15; + octave_idx_type nn = 4*npts+15; Array<Complex> wsave (nn); Complex *pwsave = wsave.fortran_vec (); @@ -1036,14 +1036,14 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; F77_FUNC (cfftb, CFFTB) (npts, &tmp_data[npts*j], pwsave); } - for (int j = 0; j < npts*nsamples; j++) + for (octave_idx_type j = 0; j < npts*nsamples; j++) tmp_data[j] = tmp_data[j] / static_cast<double> (npts); npts = nc; @@ -1058,16 +1058,16 @@ F77_FUNC (cffti, CFFTI) (npts, pwsave); - for (int j = 0; j < nsamples; j++) + for (octave_idx_type j = 0; j < nsamples; j++) { OCTAVE_QUIT; - for (int i = 0; i < npts; i++) + for (octave_idx_type i = 0; i < npts; i++) prow[i] = tmp_data[i*nr + j]; F77_FUNC (cfftb, CFFTB) (npts, prow, pwsave); - for (int i = 0; i < npts; i++) + for (octave_idx_type i = 0; i < npts; i++) tmp_data[i*nr + j] = prow[i] / static_cast<double> (npts); } @@ -1079,25 +1079,25 @@ DET Matrix::determinant (void) const { - int info; + octave_idx_type info; double rcond; return determinant (info, rcond, 0); } DET -Matrix::determinant (int& info) const +Matrix::determinant (octave_idx_type& info) const { double rcond; return determinant (info, rcond, 0); } DET -Matrix::determinant (int& info, double& rcond, int calc_cond) const +Matrix::determinant (octave_idx_type& info, double& rcond, int calc_cond) const { DET retval; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr == 0 || nc == 0) { @@ -1108,8 +1108,8 @@ } else { - Array<int> ipvt (nr); - int *pipvt = ipvt.fortran_vec (); + Array<octave_idx_type> ipvt (nr); + octave_idx_type *pipvt = ipvt.fortran_vec (); Matrix atmp = *this; double *tmp_data = atmp.fortran_vec (); @@ -1119,7 +1119,7 @@ // Calculate the norm of the matrix, for later use. double anorm = 0; if (calc_cond) - anorm = atmp.abs().sum().row(0).max(); + anorm = atmp.abs().sum().row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (dgetrf, DGETRF, (nr, nr, tmp_data, nr, pipvt, info)); @@ -1142,8 +1142,8 @@ char job = '1'; Array<double> z (4 * nc); double *pz = z.fortran_vec (); - Array<int> iz (nc); - int *piz = iz.fortran_vec (); + Array<octave_idx_type> iz (nc); + octave_idx_type *piz = iz.fortran_vec (); F77_XFCN (dgecon, DGECON, (F77_CONST_CHAR_ARG2 (&job, 1), nc, tmp_data, nr, anorm, @@ -1163,7 +1163,7 @@ else { double d[2] = { 1., 0.}; - for (int i=0; i<nc; i++) + for (octave_idx_type i=0; i<nc; i++) { if (ipvt(i) != (i+1)) d[0] = -d[0]; d[0] *= atmp(i,i); @@ -1191,32 +1191,32 @@ Matrix Matrix::solve (const Matrix& b) const { - int info; + octave_idx_type info; double rcond; return solve (b, info, rcond, 0); } Matrix -Matrix::solve (const Matrix& b, int& info) const +Matrix::solve (const Matrix& b, octave_idx_type& info) const { double rcond; return solve (b, info, rcond, 0); } Matrix -Matrix::solve (const Matrix& b, int& info, double& rcond) const +Matrix::solve (const Matrix& b, octave_idx_type& info, double& rcond) const { return solve (b, info, rcond, 0); } Matrix -Matrix::solve (const Matrix& b, int& info, double& rcond, +Matrix::solve (const Matrix& b, octave_idx_type& info, double& rcond, solve_singularity_handler sing_handler) const { Matrix retval; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr == 0 || nc == 0 || nr != nc || nr != b.rows ()) (*current_liboctave_error_handler) @@ -1225,19 +1225,19 @@ { info = 0; - Array<int> ipvt (nr); - int *pipvt = ipvt.fortran_vec (); + Array<octave_idx_type> ipvt (nr); + octave_idx_type *pipvt = ipvt.fortran_vec (); Matrix atmp = *this; double *tmp_data = atmp.fortran_vec (); Array<double> z (4 * nc); double *pz = z.fortran_vec (); - Array<int> iz (nc); - int *piz = iz.fortran_vec (); + Array<octave_idx_type> iz (nc); + octave_idx_type *piz = iz.fortran_vec (); // Calculate the norm of the matrix, for later use. - double anorm = atmp.abs().sum().row(0).max(); + double anorm = atmp.abs().sum().row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (dgetrf, DGETRF, (nr, nr, tmp_data, nr, pipvt, info)); @@ -1292,7 +1292,7 @@ retval = b; double *result = retval.fortran_vec (); - int b_nc = b.cols (); + octave_idx_type b_nc = b.cols (); job = 'N'; F77_XFCN (dgetrs, DGETRS, (F77_CONST_CHAR_ARG2 (&job, 1), @@ -1319,21 +1319,21 @@ } ComplexMatrix -Matrix::solve (const ComplexMatrix& b, int& info) const +Matrix::solve (const ComplexMatrix& b, octave_idx_type& info) const { ComplexMatrix tmp (*this); return tmp.solve (b, info); } ComplexMatrix -Matrix::solve (const ComplexMatrix& b, int& info, double& rcond) const +Matrix::solve (const ComplexMatrix& b, octave_idx_type& info, double& rcond) const { ComplexMatrix tmp (*this); return tmp.solve (b, info, rcond); } ComplexMatrix -Matrix::solve (const ComplexMatrix& b, int& info, double& rcond, +Matrix::solve (const ComplexMatrix& b, octave_idx_type& info, double& rcond, solve_singularity_handler sing_handler) const { ComplexMatrix tmp (*this); @@ -1343,31 +1343,31 @@ ColumnVector Matrix::solve (const ColumnVector& b) const { - int info; double rcond; + octave_idx_type info; double rcond; return solve (b, info, rcond); } ColumnVector -Matrix::solve (const ColumnVector& b, int& info) const +Matrix::solve (const ColumnVector& b, octave_idx_type& info) const { double rcond; return solve (b, info, rcond); } ColumnVector -Matrix::solve (const ColumnVector& b, int& info, double& rcond) const +Matrix::solve (const ColumnVector& b, octave_idx_type& info, double& rcond) const { return solve (b, info, rcond, 0); } ColumnVector -Matrix::solve (const ColumnVector& b, int& info, double& rcond, +Matrix::solve (const ColumnVector& b, octave_idx_type& info, double& rcond, solve_singularity_handler sing_handler) const { ColumnVector retval; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr == 0 || nc == 0 || nr != nc || nr != b.length ()) (*current_liboctave_error_handler) @@ -1376,19 +1376,19 @@ { info = 0; - Array<int> ipvt (nr); - int *pipvt = ipvt.fortran_vec (); + Array<octave_idx_type> ipvt (nr); + octave_idx_type *pipvt = ipvt.fortran_vec (); Matrix atmp = *this; double *tmp_data = atmp.fortran_vec (); Array<double> z (4 * nc); double *pz = z.fortran_vec (); - Array<int> iz (nc); - int *piz = iz.fortran_vec (); + Array<octave_idx_type> iz (nc); + octave_idx_type *piz = iz.fortran_vec (); // Calculate the norm of the matrix, for later use. - double anorm = atmp.abs().sum().row(0).max(); + double anorm = atmp.abs().sum().row(static_cast<octave_idx_type>(0)).max(); F77_XFCN (dgetrf, DGETRF, (nr, nr, tmp_data, nr, pipvt, info)); @@ -1468,21 +1468,21 @@ } ComplexColumnVector -Matrix::solve (const ComplexColumnVector& b, int& info) const +Matrix::solve (const ComplexColumnVector& b, octave_idx_type& info) const { ComplexMatrix tmp (*this); return tmp.solve (b, info); } ComplexColumnVector -Matrix::solve (const ComplexColumnVector& b, int& info, double& rcond) const +Matrix::solve (const ComplexColumnVector& b, octave_idx_type& info, double& rcond) const { ComplexMatrix tmp (*this); return tmp.solve (b, info, rcond); } ComplexColumnVector -Matrix::solve (const ComplexColumnVector& b, int& info, double& rcond, +Matrix::solve (const ComplexColumnVector& b, octave_idx_type& info, double& rcond, solve_singularity_handler sing_handler) const { ComplexMatrix tmp (*this); @@ -1492,27 +1492,27 @@ Matrix Matrix::lssolve (const Matrix& b) const { - int info; - int rank; + octave_idx_type info; + octave_idx_type rank; return lssolve (b, info, rank); } Matrix -Matrix::lssolve (const Matrix& b, int& info) const +Matrix::lssolve (const Matrix& b, octave_idx_type& info) const { - int rank; + octave_idx_type rank; return lssolve (b, info, rank); } Matrix -Matrix::lssolve (const Matrix& b, int& info, int& rank) const +Matrix::lssolve (const Matrix& b, octave_idx_type& info, octave_idx_type& rank) const { Matrix retval; - int nrhs = b.cols (); - - int m = rows (); - int n = cols (); + octave_idx_type nrhs = b.cols (); + + octave_idx_type m = rows (); + octave_idx_type n = cols (); if (m == 0 || n == 0 || m != b.rows ()) (*current_liboctave_error_handler) @@ -1522,16 +1522,16 @@ Matrix atmp = *this; double *tmp_data = atmp.fortran_vec (); - int nrr = m > n ? m : n; + octave_idx_type nrr = m > n ? m : n; Matrix result (nrr, nrhs, 0.0); - for (int j = 0; j < nrhs; j++) - for (int i = 0; i < m; i++) + for (octave_idx_type j = 0; j < nrhs; j++) + for (octave_idx_type i = 0; i < m; i++) result.elem (i, j) = b.elem (i, j); double *presult = result.fortran_vec (); - int len_s = m < n ? m : n; + octave_idx_type len_s = m < n ? m : n; Array<double> s (len_s); double *ps = s.fortran_vec (); @@ -1539,7 +1539,7 @@ // Ask DGELSS what the dimension of WORK should be. - int lwork = -1; + octave_idx_type lwork = -1; Array<double> work (1); @@ -1551,7 +1551,7 @@ (*current_liboctave_error_handler) ("unrecoverable error in dgelss"); else { - lwork = static_cast<int> (work(0)); + lwork = static_cast<octave_idx_type> (work(0)); work.resize (lwork); F77_XFCN (dgelss, DGELSS, (m, n, nrhs, tmp_data, m, presult, @@ -1564,8 +1564,8 @@ else { retval.resize (n, nrhs); - for (int j = 0; j < nrhs; j++) - for (int i = 0; i < n; i++) + for (octave_idx_type j = 0; j < nrhs; j++) + for (octave_idx_type i = 0; i < n; i++) retval.elem (i, j) = result.elem (i, j); } } @@ -1578,21 +1578,21 @@ Matrix::lssolve (const ComplexMatrix& b) const { ComplexMatrix tmp (*this); - int info; - int rank; + octave_idx_type info; + octave_idx_type rank; return tmp.lssolve (b, info, rank); } ComplexMatrix -Matrix::lssolve (const ComplexMatrix& b, int& info) const +Matrix::lssolve (const ComplexMatrix& b, octave_idx_type& info) const { ComplexMatrix tmp (*this); - int rank; + octave_idx_type rank; return tmp.lssolve (b, info, rank); } ComplexMatrix -Matrix::lssolve (const ComplexMatrix& b, int& info, int& rank) const +Matrix::lssolve (const ComplexMatrix& b, octave_idx_type& info, octave_idx_type& rank) const { ComplexMatrix tmp (*this); return tmp.lssolve (b, info, rank); @@ -1601,27 +1601,27 @@ ColumnVector Matrix::lssolve (const ColumnVector& b) const { - int info; - int rank; + octave_idx_type info; + octave_idx_type rank; return lssolve (b, info, rank); } ColumnVector -Matrix::lssolve (const ColumnVector& b, int& info) const +Matrix::lssolve (const ColumnVector& b, octave_idx_type& info) const { - int rank; + octave_idx_type rank; return lssolve (b, info, rank); } ColumnVector -Matrix::lssolve (const ColumnVector& b, int& info, int& rank) const +Matrix::lssolve (const ColumnVector& b, octave_idx_type& info, octave_idx_type& rank) const { ColumnVector retval; - int nrhs = 1; - - int m = rows (); - int n = cols (); + octave_idx_type nrhs = 1; + + octave_idx_type m = rows (); + octave_idx_type n = cols (); if (m == 0 || n == 0 || m != b.length ()) (*current_liboctave_error_handler) @@ -1631,15 +1631,15 @@ Matrix atmp = *this; double *tmp_data = atmp.fortran_vec (); - int nrr = m > n ? m : n; + octave_idx_type nrr = m > n ? m : n; ColumnVector result (nrr); - for (int i = 0; i < m; i++) + for (octave_idx_type i = 0; i < m; i++) result.elem (i) = b.elem (i); double *presult = result.fortran_vec (); - int len_s = m < n ? m : n; + octave_idx_type len_s = m < n ? m : n; Array<double> s (len_s); double *ps = s.fortran_vec (); @@ -1647,7 +1647,7 @@ // Ask DGELSS what the dimension of WORK should be. - int lwork = -1; + octave_idx_type lwork = -1; Array<double> work (1); @@ -1659,7 +1659,7 @@ (*current_liboctave_error_handler) ("unrecoverable error in dgelss"); else { - lwork = static_cast<int> (work(0)); + lwork = static_cast<octave_idx_type> (work(0)); work.resize (lwork); F77_XFCN (dgelss, DGELSS, (m, n, nrhs, tmp_data, m, presult, @@ -1672,7 +1672,7 @@ else { retval.resize (n); - for (int i = 0; i < n; i++) + for (octave_idx_type i = 0; i < n; i++) retval.elem (i) = result.elem (i); } } @@ -1689,14 +1689,14 @@ } ComplexColumnVector -Matrix::lssolve (const ComplexColumnVector& b, int& info) const +Matrix::lssolve (const ComplexColumnVector& b, octave_idx_type& info) const { ComplexMatrix tmp (*this); return tmp.lssolve (b, info); } ComplexColumnVector -Matrix::lssolve (const ComplexColumnVector& b, int& info, int& rank) const +Matrix::lssolve (const ComplexColumnVector& b, octave_idx_type& info, octave_idx_type& rank) const { ComplexMatrix tmp (*this); return tmp.lssolve (b, info, rank); @@ -1723,7 +1723,7 @@ Matrix m = *this; - int nc = columns (); + octave_idx_type nc = columns (); // Preconditioning step 1: trace normalization to reduce dynamic // range of poles, but avoid making stable eigenvalues unstable. @@ -1731,14 +1731,14 @@ // trace shift value volatile double trshift = 0.0; - for (int i = 0; i < nc; i++) + for (octave_idx_type i = 0; i < nc; i++) trshift += m.elem (i, i); trshift /= nc; if (trshift > 0.0) { - for (int i = 0; i < nc; i++) + for (octave_idx_type i = 0; i < nc; i++) m.elem (i, i) -= trshift; } @@ -1747,7 +1747,7 @@ double *p_m = m.fortran_vec (); - int info, ilo, ihi, ilos, ihis; + octave_idx_type info, ilo, ihi, ilos, ihis; Array<double> dpermute (nc); Array<double> dscale (nc); @@ -1787,7 +1787,7 @@ return retval; } - int sqpow = (int) (inf_norm > 0.0 + octave_idx_type sqpow = static_cast<octave_idx_type> (inf_norm > 0.0 ? (1.0 + log (inf_norm) / log (2.0)) : 0.0); @@ -1799,7 +1799,7 @@ if (sqpow > 0) { double scale_factor = 1.0; - for (int i = 0; i < sqpow; i++) + for (octave_idx_type i = 0; i < sqpow; i++) scale_factor *= 2.0; m = m / scale_factor; @@ -1812,8 +1812,8 @@ // Now powers a^8 ... a^1. - int minus_one_j = -1; - for (int j = 7; j >= 0; j--) + octave_idx_type minus_one_j = -1; + for (octave_idx_type j = 7; j >= 0; j--) { npp = m * npp + padec[j] * m; dpp = m * dpp + (minus_one_j * padec[j]) * m; @@ -1823,7 +1823,7 @@ // Zero power. dpp = -dpp; - for (int j = 0; j < nc; j++) + for (octave_idx_type j = 0; j < nc; j++) { npp.elem (j, j) += 1.0; dpp.elem (j, j) += 1.0; @@ -1843,45 +1843,45 @@ // Reverse preconditioning step 2: inverse balancing. // apply inverse scaling to computed exponential - for (int i = 0; i < nc; i++) - for (int j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nc; i++) + for (octave_idx_type j = 0; j < nc; j++) retval(i,j) *= dscale(i) / dscale(j); OCTAVE_QUIT; // construct balancing permutation vector - Array<int> iperm (nc); - for (int i = 0; i < nc; i++) + Array<octave_idx_type> iperm (nc); + for (octave_idx_type i = 0; i < nc; i++) iperm(i) = i; // identity permutation // leading permutations in forward order - for (int i = 0; i < (ilo-1); i++) + for (octave_idx_type i = 0; i < (ilo-1); i++) { - int swapidx = static_cast<int> (dpermute(i)) - 1; - int tmp = iperm(i); + octave_idx_type swapidx = static_cast<octave_idx_type> (dpermute(i)) - 1; + octave_idx_type tmp = iperm(i); iperm(i) = iperm (swapidx); iperm(swapidx) = tmp; } // trailing permutations must be done in reverse order - for (int i = nc - 1; i >= ihi; i--) + for (octave_idx_type i = nc - 1; i >= ihi; i--) { - int swapidx = static_cast<int> (dpermute(i)) - 1; - int tmp = iperm(i); + octave_idx_type swapidx = static_cast<octave_idx_type> (dpermute(i)) - 1; + octave_idx_type tmp = iperm(i); iperm(i) = iperm(swapidx); iperm(swapidx) = tmp; } // construct inverse balancing permutation vector - Array<int> invpvec (nc); - for (int i = 0; i < nc; i++) + Array<octave_idx_type> invpvec (nc); + for (octave_idx_type i = 0; i < nc; i++) invpvec(iperm(i)) = i; // Thanks to R. A. Lippert for this method OCTAVE_QUIT; Matrix tmpMat = retval; - for (int i = 0; i < nc; i++) - for (int j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nc; i++) + for (octave_idx_type j = 0; j < nc; j++) retval(i,j) = tmpMat(invpvec(i),invpvec(j)); // Reverse preconditioning step 1: fix trace normalization. @@ -1895,11 +1895,11 @@ Matrix& Matrix::operator += (const DiagMatrix& a) { - int nr = rows (); - int nc = cols (); - - int a_nr = a.rows (); - int a_nc = a.cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type a_nr = a.rows (); + octave_idx_type a_nc = a.cols (); if (nr != a_nr || nc != a_nc) { @@ -1907,7 +1907,7 @@ return *this; } - for (int i = 0; i < a.length (); i++) + for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) += a.elem (i, i); return *this; @@ -1916,11 +1916,11 @@ Matrix& Matrix::operator -= (const DiagMatrix& a) { - int nr = rows (); - int nc = cols (); - - int a_nr = a.rows (); - int a_nc = a.cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); + + octave_idx_type a_nr = a.rows (); + octave_idx_type a_nc = a.cols (); if (nr != a_nr || nc != a_nc) { @@ -1928,7 +1928,7 @@ return *this; } - for (int i = 0; i < a.length (); i++) + for (octave_idx_type i = 0; i < a.length (); i++) elem (i, i) -= a.elem (i, i); return *this; @@ -1939,13 +1939,13 @@ boolMatrix Matrix::operator ! (void) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); boolMatrix b (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) b.elem (i, j) = ! elem (i, j); return b; @@ -1958,11 +1958,11 @@ { Matrix retval; - int len = v.length (); + octave_idx_type len = v.length (); if (len != 0) { - int a_len = a.length (); + octave_idx_type a_len = a.length (); retval.resize (len, a_len); double *c = retval.fortran_vec (); @@ -1994,13 +1994,13 @@ boolMatrix Matrix::map (b_d_Mapper f) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); boolMatrix retval (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) retval(i,j) = f (elem(i,j)); return retval; @@ -2011,7 +2011,7 @@ { double *d = fortran_vec (); // Ensures only one reference to my privates! - for (int i = 0; i < length (); i++) + for (octave_idx_type i = 0; i < length (); i++) d[i] = f (d[i]); return *this; @@ -2020,17 +2020,17 @@ bool Matrix::any_element_is_negative (bool neg_zero) const { - int nel = nelem (); + octave_idx_type nel = nelem (); if (neg_zero) { - for (int i = 0; i < nel; i++) + for (octave_idx_type i = 0; i < nel; i++) if (lo_ieee_signbit (elem (i))) return true; } else { - for (int i = 0; i < nel; i++) + for (octave_idx_type i = 0; i < nel; i++) if (elem (i) < 0) return true; } @@ -2042,9 +2042,9 @@ bool Matrix::any_element_is_inf_or_nan (void) const { - int nel = nelem (); - - for (int i = 0; i < nel; i++) + octave_idx_type nel = nelem (); + + for (octave_idx_type i = 0; i < nel; i++) { double val = elem (i); if (xisinf (val) || xisnan (val)) @@ -2057,9 +2057,9 @@ bool Matrix::all_elements_are_int_or_inf_or_nan (void) const { - int nel = nelem (); - - for (int i = 0; i < nel; i++) + octave_idx_type nel = nelem (); + + for (octave_idx_type i = 0; i < nel; i++) { double val = elem (i); if (xisnan (val) || D_NINT (val) == val) @@ -2077,7 +2077,7 @@ bool Matrix::all_integers (double& max_val, double& min_val) const { - int nel = nelem (); + octave_idx_type nel = nelem (); if (nel > 0) { @@ -2087,7 +2087,7 @@ else return false; - for (int i = 0; i < nel; i++) + for (octave_idx_type i = 0; i < nel; i++) { double val = elem (i); @@ -2107,9 +2107,9 @@ bool Matrix::too_large_for_float (void) const { - int nel = nelem (); - - for (int i = 0; i < nel; i++) + octave_idx_type nel = nelem (); + + for (octave_idx_type i = 0; i < nel; i++) { double val = elem (i); @@ -2179,13 +2179,13 @@ Matrix Matrix::abs (void) const { - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); Matrix retval (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) retval (i, j) = fabs (elem (i, j)); return retval; @@ -2198,10 +2198,10 @@ } ColumnVector -Matrix::diag (int k) const +Matrix::diag (octave_idx_type k) const { - int nnr = rows (); - int nnc = cols (); + octave_idx_type nnr = rows (); + octave_idx_type nnc = cols (); if (k > 0) nnc -= k; else if (k < 0) @@ -2211,23 +2211,23 @@ if (nnr > 0 && nnc > 0) { - int ndiag = (nnr < nnc) ? nnr : nnc; + octave_idx_type ndiag = (nnr < nnc) ? nnr : nnc; d.resize (ndiag); if (k > 0) { - for (int i = 0; i < ndiag; i++) + for (octave_idx_type i = 0; i < ndiag; i++) d.elem (i) = elem (i, i+k); } else if (k < 0) { - for (int i = 0; i < ndiag; i++) + for (octave_idx_type i = 0; i < ndiag; i++) d.elem (i) = elem (i-k, i); } else { - for (int i = 0; i < ndiag; i++) + for (octave_idx_type i = 0; i < ndiag; i++) d.elem (i) = elem (i, i); } } @@ -2241,26 +2241,26 @@ ColumnVector Matrix::row_min (void) const { - Array<int> dummy_idx; + Array<octave_idx_type> dummy_idx; return row_min (dummy_idx); } ColumnVector -Matrix::row_min (Array<int>& idx_arg) const +Matrix::row_min (Array<octave_idx_type>& idx_arg) const { ColumnVector result; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nr); idx_arg.resize (nr); - for (int i = 0; i < nr; i++) + for (octave_idx_type i = 0; i < nr; i++) { - int idx_j; + octave_idx_type idx_j; double tmp_min = octave_NaN; @@ -2272,7 +2272,7 @@ break; } - for (int j = idx_j+1; j < nc; j++) + for (octave_idx_type j = idx_j+1; j < nc; j++) { double tmp = elem (i, j); @@ -2296,26 +2296,26 @@ ColumnVector Matrix::row_max (void) const { - Array<int> dummy_idx; + Array<octave_idx_type> dummy_idx; return row_max (dummy_idx); } ColumnVector -Matrix::row_max (Array<int>& idx_arg) const +Matrix::row_max (Array<octave_idx_type>& idx_arg) const { ColumnVector result; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nr); idx_arg.resize (nr); - for (int i = 0; i < nr; i++) + for (octave_idx_type i = 0; i < nr; i++) { - int idx_j; + octave_idx_type idx_j; double tmp_max = octave_NaN; @@ -2327,7 +2327,7 @@ break; } - for (int j = idx_j+1; j < nc; j++) + for (octave_idx_type j = idx_j+1; j < nc; j++) { double tmp = elem (i, j); @@ -2351,26 +2351,26 @@ RowVector Matrix::column_min (void) const { - Array<int> dummy_idx; + Array<octave_idx_type> dummy_idx; return column_min (dummy_idx); } RowVector -Matrix::column_min (Array<int>& idx_arg) const +Matrix::column_min (Array<octave_idx_type>& idx_arg) const { RowVector result; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nc); idx_arg.resize (nc); - for (int j = 0; j < nc; j++) + for (octave_idx_type j = 0; j < nc; j++) { - int idx_i; + octave_idx_type idx_i; double tmp_min = octave_NaN; @@ -2382,7 +2382,7 @@ break; } - for (int i = idx_i+1; i < nr; i++) + for (octave_idx_type i = idx_i+1; i < nr; i++) { double tmp = elem (i, j); @@ -2406,26 +2406,26 @@ RowVector Matrix::column_max (void) const { - Array<int> dummy_idx; + Array<octave_idx_type> dummy_idx; return column_max (dummy_idx); } RowVector -Matrix::column_max (Array<int>& idx_arg) const +Matrix::column_max (Array<octave_idx_type>& idx_arg) const { RowVector result; - int nr = rows (); - int nc = cols (); + octave_idx_type nr = rows (); + octave_idx_type nc = cols (); if (nr > 0 && nc > 0) { result.resize (nc); idx_arg.resize (nc); - for (int j = 0; j < nc; j++) + for (octave_idx_type j = 0; j < nc; j++) { - int idx_i; + octave_idx_type idx_i; double tmp_max = octave_NaN; @@ -2437,7 +2437,7 @@ break; } - for (int i = idx_i+1; i < nr; i++) + for (octave_idx_type i = idx_i+1; i < nr; i++) { double tmp = elem (i, j); @@ -2461,9 +2461,9 @@ std::ostream& operator << (std::ostream& os, const Matrix& a) { - for (int i = 0; i < a.rows (); i++) + for (octave_idx_type i = 0; i < a.rows (); i++) { - for (int j = 0; j < a.cols (); j++) + for (octave_idx_type j = 0; j < a.cols (); j++) { os << " "; octave_write_double (os, a.elem (i, j)); @@ -2476,16 +2476,16 @@ std::istream& operator >> (std::istream& is, Matrix& a) { - int nr = a.rows (); - int nc = a.cols (); + octave_idx_type nr = a.rows (); + octave_idx_type nc = a.cols (); if (nr < 1 || nc < 1) is.clear (std::ios::badbit); else { double tmp; - for (int i = 0; i < nr; i++) - for (int j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) { tmp = octave_read_double (is); if (is) @@ -2543,11 +2543,11 @@ // Solve the sylvester equation, back-transform, and return the // solution. - int a_nr = a.rows (); - int b_nr = b.rows (); + octave_idx_type a_nr = a.rows (); + octave_idx_type b_nr = b.rows (); double scale; - int info; + octave_idx_type info; double *pa = sch_a.fortran_vec (); double *pb = sch_b.fortran_vec (); @@ -2580,11 +2580,11 @@ { Matrix retval; - int nr = m.rows (); - int nc = m.cols (); - - int a_nr = a.rows (); - int a_nc = a.cols (); + octave_idx_type nr = m.rows (); + octave_idx_type nc = m.cols (); + + octave_idx_type a_nr = a.rows (); + octave_idx_type a_nc = a.cols (); if (nc != a_nr) gripe_nonconformant ("operator *", nr, nc, a_nr, a_nc); @@ -2594,8 +2594,8 @@ retval.resize (nr, a_nc, 0.0); else { - int ld = nr; - int lda = a_nr; + octave_idx_type ld = nr; + octave_idx_type lda = a_nr; retval.resize (nr, a_nc); double *c = retval.fortran_vec (); @@ -2626,15 +2626,15 @@ Matrix min (double d, const Matrix& m) { - int nr = m.rows (); - int nc = m.columns (); + octave_idx_type nr = m.rows (); + octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (Matrix); Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmin (d, m (i, j)); @@ -2646,15 +2646,15 @@ Matrix min (const Matrix& m, double d) { - int nr = m.rows (); - int nc = m.columns (); + octave_idx_type nr = m.rows (); + octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (Matrix); Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmin (m (i, j), d); @@ -2666,8 +2666,8 @@ Matrix min (const Matrix& a, const Matrix& b) { - int nr = a.rows (); - int nc = a.columns (); + octave_idx_type nr = a.rows (); + octave_idx_type nc = a.columns (); if (nr != b.rows () || nc != b.columns ()) { @@ -2680,8 +2680,8 @@ Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmin (a (i, j), b (i, j)); @@ -2693,15 +2693,15 @@ Matrix max (double d, const Matrix& m) { - int nr = m.rows (); - int nc = m.columns (); + octave_idx_type nr = m.rows (); + octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (Matrix); Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmax (d, m (i, j)); @@ -2713,15 +2713,15 @@ Matrix max (const Matrix& m, double d) { - int nr = m.rows (); - int nc = m.columns (); + octave_idx_type nr = m.rows (); + octave_idx_type nc = m.columns (); EMPTY_RETURN_CHECK (Matrix); Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmax (m (i, j), d); @@ -2733,8 +2733,8 @@ Matrix max (const Matrix& a, const Matrix& b) { - int nr = a.rows (); - int nc = a.columns (); + octave_idx_type nr = a.rows (); + octave_idx_type nc = a.columns (); if (nr != b.rows () || nc != b.columns ()) { @@ -2747,8 +2747,8 @@ Matrix result (nr, nc); - for (int j = 0; j < nc; j++) - for (int i = 0; i < nr; i++) + for (octave_idx_type j = 0; j < nc; j++) + for (octave_idx_type i = 0; i < nr; i++) { OCTAVE_QUIT; result (i, j) = xmax (a (i, j), b (i, j));