master: move partial.xrst -> reverse.xrst, remove d, change nc_partia…

…l -> n_order

include/cppad/local/var_op/csum_op.hpp

@@ -410,14 +410,9 @@ see
 :ref:`var_csum_op@i_z` ,
 :ref:`var_csum_op@arg`
 
-d
-*
-order the highest order Taylor coefficient that we are computing
-the partial derivatives with respect to.
-
-{xrst_comment H(x, y, ...) = G[ z(x, y), x, y, ... ] }
+{xrst_comment document n_order, partial}
 {xrst_template ;
-   include/cppad/local/var_op/partial.xrst
+   include/cppad/local/var_op/reverse.xrst
    @x, y@  ; x, y, u, v
 }
 
@@ -680,7 +675,7 @@ inline void csum_reverse_hes(
 ------------------------------------------------------------------------------
 {xrst_begin var_csum_forward_hes dev}
 
-Reverse Hessian Sparsity for Cumulative Summation
+Forward Hessian Sparsity for Cumulative Summation
 #################################################
 
 Prototype

include/cppad/local/var_op/load_op.hpp

@@ -403,11 +403,6 @@ y
 *
 see :ref:`var_load_op@y`
 
-d
-*
-highest order the Taylor coefficient that we are computing the partial
-derivative with respect to.
-
 cap_order
 *********
 number of columns in the matrix containing the Taylor coefficients.
@@ -418,9 +413,9 @@ This vector maps the load instruction index *arg* [2] to the corresponding
 *y* variable index.
 If this index is zero, *y* is a parameter (not a variable).
 
-{xrst_comment H(y, ...) = G[ z(y), y, ... ] }
+{xrst_comment document n_order, partial}
 {xrst_template ;
-   include/cppad/local/var_op/partial.xrst
+   include/cppad/local/var_op/reverse.xrst
    @x, y@  ; y
 }
 

include/cppad/local/var_op/partial.xrst → include/cppad/local/var_op/reverse.xrst

@@ -3,22 +3,25 @@ SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
 SPDX-FileCopyrightText: Bradley M. Bell <[email protected]>
 SPDX-FileContributor: 2024 Bradley M. Bell
 
+This xrst template file documents the following reverse mode arguments:
+   n_order, partial
+
 This template file has the following parameters:
-   @x, y@   : arguments (without parenthesis) to function for this operator;
-              e.g., if 'x , y' funciton is 'z(x, y)' .
+@x, y@   : The arguments, without parenthesis, in function for this operator;
+           e.g., if @x, y@ is replaced by 'x , y', the funciton is 'z(x, y)' .
 }
 
-nc_partial
-**********
-is the number of columns (also number of orders) in the matrix containing
-the partial derivatives with respect to the Taylor coefficients.
+n_order
+*******
+is the number of Taylor coefficient orders that we are
+computing the partial derivatives with respect to.
 
 partial
 *******
 The partial derivative with respect to the order *k* Taylor coefficient
 for the variable with index *j* is::
 
-   partial[ j * nc_partial + k ]
+   partial[ j * n_order + k ]
 
 We use :math:`G( z, @x, y@, \ldots )` to denote a scalar valued function
 of the taylor coefficients of the variables with index less than or
@@ -33,4 +36,5 @@ On input, *partial* contains the partial derivatives of *G*
 with respect to the Taylor coefficients of the arguments to *G* .
 On output, *partial* contains the partial derivatives of *H*
 with respect to the Taylor coefficients of the arguments to *H* .
-If @x, y@ is a parameter, it does not have Taylor coefficients.
+We only compute partials with respect to variables; i.e.,
+no partials are computed with respect to the parameters in @x, y@ .