Mercurial > hg > octave-nkf
comparison liboctave/operators/Sparse-op-defs.h @ 19007:9ac2357f19bc
doc: Replace "non-zero" with "nonzero" to match existing usage.
Replace all occurrences in both documentation and code comments.
* doc/interpreter/contrib.txi, doc/interpreter/diagperm.txi,
doc/interpreter/external.txi, doc/interpreter/sparse.txi,
doc/interpreter/stmt.txi, doc/interpreter/testfun.txi, doc/refcard/refcard.tex,
examples/mysparse.c, libinterp/corefcn/balance.cc,
libinterp/corefcn/cellfun.cc, libinterp/corefcn/data.cc,
libinterp/corefcn/filter.cc, libinterp/corefcn/find.cc,
libinterp/corefcn/kron.cc, libinterp/corefcn/ls-mat5.cc,
libinterp/corefcn/luinc.cc, libinterp/corefcn/mappers.cc,
libinterp/corefcn/oct-fstrm.cc, libinterp/corefcn/oct-fstrm.h,
libinterp/corefcn/oct-iostrm.cc, libinterp/corefcn/oct-iostrm.h,
libinterp/corefcn/oct-stdstrm.h, libinterp/corefcn/oct-strstrm.h,
libinterp/corefcn/spparms.cc, libinterp/corefcn/toplev.cc,
libinterp/corefcn/utils.cc, libinterp/dldfcn/symrcm.cc,
libinterp/octave-value/ov-bool-mat.cc, liboctave/array/CSparse.cc,
liboctave/array/Sparse.cc, liboctave/array/Sparse.h,
liboctave/array/dSparse.cc, liboctave/numeric/randmtzig.c,
liboctave/operators/Sparse-op-defs.h, scripts/help/get_first_help_sentence.m,
scripts/miscellaneous/edit.m, scripts/plot/draw/pie.m,
scripts/plot/draw/pie3.m, scripts/sparse/colperm.m, scripts/sparse/nonzeros.m,
scripts/sparse/spdiags.m, scripts/sparse/spfun.m, scripts/sparse/spones.m,
scripts/sparse/sprand.m, scripts/sparse/sprandn.m, scripts/sparse/sprandsym.m,
scripts/sparse/spstats.m, scripts/sparse/svds.m,
scripts/special-matrix/gallery.m, scripts/statistics/base/moment.m,
scripts/statistics/tests/cor_test.m:
Replace "non-zero" with "nonzero" to match existing usage.
author | Rik <rik@octave.org> |
---|---|
date | Sun, 08 Jun 2014 17:59:59 -0700 |
parents | 6113e0c6920b |
children | 65554f5847ac |
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19006:c53e11fab75f | 19007:9ac2357f19bc |
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1182 r = SparseBoolMatrix (F (m1, m2.elem (0,0))); \ | 1182 r = SparseBoolMatrix (F (m1, m2.elem (0,0))); \ |
1183 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ | 1183 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ |
1184 { \ | 1184 { \ |
1185 if (m1_nr != 0 || m1_nc != 0) \ | 1185 if (m1_nr != 0 || m1_nc != 0) \ |
1186 { \ | 1186 { \ |
1187 /* Count num of non-zero elements */ \ | 1187 /* Count num of nonzero elements */ \ |
1188 octave_idx_type nel = 0; \ | 1188 octave_idx_type nel = 0; \ |
1189 for (octave_idx_type j = 0; j < m1_nc; j++) \ | 1189 for (octave_idx_type j = 0; j < m1_nc; j++) \ |
1190 for (octave_idx_type i = 0; i < m1_nr; i++) \ | 1190 for (octave_idx_type i = 0; i < m1_nr; i++) \ |
1191 if (C1 (m1.elem (i, j)) OP C2 (m2.elem (i, j))) \ | 1191 if (C1 (m1.elem (i, j)) OP C2 (m2.elem (i, j))) \ |
1192 nel++; \ | 1192 nel++; \ |
1250 r = SparseBoolMatrix (F (m1, m2.elem (0,0))); \ | 1250 r = SparseBoolMatrix (F (m1, m2.elem (0,0))); \ |
1251 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ | 1251 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ |
1252 { \ | 1252 { \ |
1253 if (m1_nr != 0 || m1_nc != 0) \ | 1253 if (m1_nr != 0 || m1_nc != 0) \ |
1254 { \ | 1254 { \ |
1255 /* Count num of non-zero elements */ \ | 1255 /* Count num of nonzero elements */ \ |
1256 octave_idx_type nel = 0; \ | 1256 octave_idx_type nel = 0; \ |
1257 for (octave_idx_type j = 0; j < m1_nc; j++) \ | 1257 for (octave_idx_type j = 0; j < m1_nc; j++) \ |
1258 for (octave_idx_type i = 0; i < m1_nr; i++) \ | 1258 for (octave_idx_type i = 0; i < m1_nr; i++) \ |
1259 if ((m1.elem (i, j) != LHS_ZERO) \ | 1259 if ((m1.elem (i, j) != LHS_ZERO) \ |
1260 OP (m2.elem (i, j) != RHS_ZERO)) \ | 1260 OP (m2.elem (i, j) != RHS_ZERO)) \ |
1422 r = SparseBoolMatrix (F (m1.elem (0,0), m2)); \ | 1422 r = SparseBoolMatrix (F (m1.elem (0,0), m2)); \ |
1423 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ | 1423 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ |
1424 { \ | 1424 { \ |
1425 if (m1_nr != 0 || m1_nc != 0) \ | 1425 if (m1_nr != 0 || m1_nc != 0) \ |
1426 { \ | 1426 { \ |
1427 /* Count num of non-zero elements */ \ | 1427 /* Count num of nonzero elements */ \ |
1428 octave_idx_type nel = 0; \ | 1428 octave_idx_type nel = 0; \ |
1429 for (octave_idx_type j = 0; j < m1_nc; j++) \ | 1429 for (octave_idx_type j = 0; j < m1_nc; j++) \ |
1430 for (octave_idx_type i = 0; i < m1_nr; i++) \ | 1430 for (octave_idx_type i = 0; i < m1_nr; i++) \ |
1431 if (C1 (m1.elem (i, j)) OP C2 (m2.elem (i, j))) \ | 1431 if (C1 (m1.elem (i, j)) OP C2 (m2.elem (i, j))) \ |
1432 nel++; \ | 1432 nel++; \ |
1490 r = SparseBoolMatrix (F (m1.elem (0,0), m2)); \ | 1490 r = SparseBoolMatrix (F (m1.elem (0,0), m2)); \ |
1491 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ | 1491 else if (m1_nr == m2_nr && m1_nc == m2_nc) \ |
1492 { \ | 1492 { \ |
1493 if (m1_nr != 0 || m1_nc != 0) \ | 1493 if (m1_nr != 0 || m1_nc != 0) \ |
1494 { \ | 1494 { \ |
1495 /* Count num of non-zero elements */ \ | 1495 /* Count num of nonzero elements */ \ |
1496 octave_idx_type nel = 0; \ | 1496 octave_idx_type nel = 0; \ |
1497 for (octave_idx_type j = 0; j < m1_nc; j++) \ | 1497 for (octave_idx_type j = 0; j < m1_nc; j++) \ |
1498 for (octave_idx_type i = 0; i < m1_nr; i++) \ | 1498 for (octave_idx_type i = 0; i < m1_nr; i++) \ |
1499 if ((m1.elem (i, j) != LHS_ZERO) \ | 1499 if ((m1.elem (i, j) != LHS_ZERO) \ |
1500 OP (m2.elem (i, j) != RHS_ZERO)) \ | 1500 OP (m2.elem (i, j) != RHS_ZERO)) \ |
1928 OCTAVE_LOCAL_BUFFER (RET_EL_TYPE, Xcol, nr); \ | 1928 OCTAVE_LOCAL_BUFFER (RET_EL_TYPE, Xcol, nr); \ |
1929 \ | 1929 \ |
1930 retval.change_capacity (nel); \ | 1930 retval.change_capacity (nel); \ |
1931 /* The optimal break-point as estimated from simulations */ \ | 1931 /* The optimal break-point as estimated from simulations */ \ |
1932 /* Note that Mergesort is O(nz log(nz)) while searching all */ \ | 1932 /* Note that Mergesort is O(nz log(nz)) while searching all */ \ |
1933 /* values is O(nr), where nz here is non-zero per row of */ \ | 1933 /* values is O(nr), where nz here is nonzero per row of */ \ |
1934 /* length nr. The test itself was then derived from the */ \ | 1934 /* length nr. The test itself was then derived from the */ \ |
1935 /* simulation with random square matrices and the observation */ \ | 1935 /* simulation with random square matrices and the observation */ \ |
1936 /* of the number of non-zero elements in the output matrix */ \ | 1936 /* of the number of nonzero elements in the output matrix */ \ |
1937 /* it was found that the breakpoints were */ \ | 1937 /* it was found that the breakpoints were */ \ |
1938 /* nr: 500 1000 2000 5000 10000 */ \ | 1938 /* nr: 500 1000 2000 5000 10000 */ \ |
1939 /* nz: 6 25 97 585 2202 */ \ | 1939 /* nz: 6 25 97 585 2202 */ \ |
1940 /* The below is a simplication of the 'polyfit'-ed parameters */ \ | 1940 /* The below is a simplication of the 'polyfit'-ed parameters */ \ |
1941 /* to these breakpoints */ \ | 1941 /* to these breakpoints */ \ |