Mercurial > hg > octave-nkf
diff src/data.cc @ 9723:f426899f4b9c
fix reduction functions docstrings
author | Jaroslav Hajek <highegg@gmail.com> |
---|---|
date | Tue, 13 Oct 2009 12:50:06 +0200 |
parents | 192d94cff6c1 |
children | aea3a3a950e1 |
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--- a/src/data.cc +++ b/src/data.cc @@ -1548,12 +1548,8 @@ @deftypefn {Built-in Function} {} cumprod (@var{x})\n\ @deftypefnx {Built-in Function} {} cumprod (@var{x}, @var{dim})\n\ Cumulative product of elements along dimension @var{dim}. If\n\ -@var{dim} is omitted, it defaults to 1 (column-wise cumulative\n\ -products).\n\ +@var{dim} is omitted, it defaults to the first non-singleton dimension.\n\ \n\ -As a special case, if @var{x} is a vector and @var{dim} is omitted,\n\ -return the cumulative product of the elements as a vector with the\n\ -same orientation as @var{x}.\n\ @seealso{prod, cumsum}\n\ @end deftypefn") { @@ -1588,11 +1584,7 @@ @deftypefnx {Built-in Function} {} cumsum (@var{x}, @var{dim})\n\ @deftypefnx {Built-in Function} {} cumsum (@dots{}, 'native')\n\ Cumulative sum of elements along dimension @var{dim}. If @var{dim}\n\ -is omitted, it defaults to 1 (column-wise cumulative sums).\n\ -\n\ -As a special case, if @var{x} is a vector and @var{dim} is omitted,\n\ -return the cumulative sum of the elements as a vector with the\n\ -same orientation as @var{x}.\n\ +is omitted, it defaults to the first non-singleton dimension.\n\ \n\ The \"native\" argument implies the summation is performed in native type.\n\ See @code{sum} for a complete description and example of the use of\n\ @@ -1836,10 +1828,7 @@ @deftypefn {Built-in Function} {} prod (@var{x})\n\ @deftypefnx {Built-in Function} {} prod (@var{x}, @var{dim})\n\ Product of elements along dimension @var{dim}. If @var{dim} is\n\ -omitted, it defaults to 1 (column-wise products).\n\ -\n\ -As a special case, if @var{x} is a vector and @var{dim} is omitted,\n\ -return the product of the elements.\n\ +omitted, it defaults to the first non-singleton dimension.\n\ @seealso{cumprod, sum}\n\ @end deftypefn") { @@ -2667,10 +2656,7 @@ @deftypefnx {Built-in Function} {} sum (@dots{}, 'double')\n\ @deftypefnx {Built-in Function} {} sum (@dots{}, 'extra')\n\ Sum of elements along dimension @var{dim}. If @var{dim} is\n\ -omitted, it defaults to 1 (column-wise sum).\n\ -\n\ -As a special case, if @var{x} is a vector and @var{dim} is omitted,\n\ -return the sum of the elements.\n\ +omitted, it defaults to the first non-singleton dimension.\n\ \n\ If the optional argument 'native' is given, then the sum is performed\n\ in the same type as the original argument, rather than in the default\n\ @@ -2684,8 +2670,10 @@ @result{} true\n\ @end group\n\ @end example\n\ + \n\ On the contrary, if 'double' is given, the sum is performed in double precision\n\ even for single precision inputs.\n\ +\n\ For double precision inputs, 'extra' indicates that a more accurate algorithm\n\ than straightforward summation is to be used. For single precision inputs, 'extra' is\n\ the same as 'double'. Otherwise, 'extra' has no effect.\n\ @@ -2882,10 +2870,7 @@ @deftypefn {Built-in Function} {} sumsq (@var{x})\n\ @deftypefnx {Built-in Function} {} sumsq (@var{x}, @var{dim})\n\ Sum of squares of elements along dimension @var{dim}. If @var{dim}\n\ -is omitted, it defaults to 1 (column-wise sum of squares).\n\ -\n\ -As a special case, if @var{x} is a vector and @var{dim} is omitted,\n\ -return the sum of squares of the elements.\n\ +is omitted, it defaults to the first non-singleton dimension.\n\ \n\ This function is conceptually equivalent to computing\n\ @example\n\