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comparison scripts/general/del2.m @ 10793:be55736a0783

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Grammarcheck the documentation from m-files.
author Rik <octave@nomad.inbox5.com>
date Sun, 18 Jul 2010 20:35:16 -0700
parents d1978e7364ad
children 693e22af08ae
comparison
equal deleted inserted replaced
10792:91342260063e 10793:be55736a0783
42 ## 4 \ dx^2 dy^2 / 42 ## 4 \ dx^2 dy^2 /
43 ## @end group 43 ## @end group
44 ## @end example 44 ## @end example
45 ## @end ifnottex 45 ## @end ifnottex
46 ## 46 ##
47 ## For N-dimensional arrays the sum in parentheses is expanded to include second derivatives 47 ## For N-dimensional arrays the sum in parentheses is expanded to include second
48 ## derivatives
48 ## over the additional higher dimensions. 49 ## over the additional higher dimensions.
49 ## 50 ##
50 ## The spacing between evaluation points may be defined by @var{h}, which is a 51 ## The spacing between evaluation points may be defined by @var{h}, which is a
51 ## scalar defining the equidistant spacing in all dimensions. Alternatively, 52 ## scalar defining the equidistant spacing in all dimensions. Alternatively,
52 ## the spacing in each dimension may be defined separately by @var{dx}, @var{dy}, 53 ## the spacing in each dimension may be defined separately by @var{dx},
53 ## etc. A scalar spacing argument defines equidistant spacing, whereas a vector 54 ## @var{dy}, etc. A scalar spacing argument defines equidistant spacing,
54 ## argument can be used to specify variable spacing. The length of the spacing vectors 55 ## whereas a vector argument can be used to specify variable spacing. The
55 ## must match the respective dimension of @var{m}. The default spacing value 56 ## length of the spacing vectors must match the respective dimension of
56 ## is 1. 57 ## @var{m}. The default spacing value is 1.
57 ## 58 ##
58 ## At least 3 data points are needed for each dimension. Boundary points are 59 ## At least 3 data points are needed for each dimension. Boundary points are
59 ## calculated from the linear extrapolation of interior points. 60 ## calculated from the linear extrapolation of interior points.
60 ## 61 ##
61 ## @seealso{gradient, diff} 62 ## @seealso{gradient, diff}