CppAD: A C++ Algorithmic Differentiation Package
20171217
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Reverse mode partial derivatives for result of op = ExpOp.
The C++ source code corresponding to this operation is
z = exp(x)
This routine is given the partial derivatives of a function G(z , x , w, u ... ) and it uses them to compute the partial derivatives of
H( x , w , u , ... ) = G[ z(x) , x , w , u , ... ]
Base | base type for the operator; i.e., this operation was recorded using AD< Base > and computations by this routine are done using type Base . |
d | highest order Taylor coefficient that we are computing the partial derivatives with respect to. |
i_z | variable index corresponding to the result for this operation; i.e. the row index in taylor to z. |
i_x | variable index corresponding to the argument for this operation; i.e. the row index in taylor corresponding to x. |
cap_order | maximum number of orders that will fit in the taylor array. |
taylor | taylor [ i_x * cap_order + k ] for k = 0 , ... , d is the k-th order Taylor coefficient corresponding to x. taylor [ i_z * cap_order + k ] for k = 0 , ... , d is the k-th order Taylor coefficient corresponding to z. |
nc_partial | number of colums in the matrix containing all the partial derivatives. |
partial | Input: partial [ i_x * nc_partial + k ] for k = 0 , ... , d is the partial derivative of G( z , x , w , u , ... ) with respect to the k-th order Taylor coefficient for x. Input: partial [ i_z * nc_partial + k ] for k = 0 , ... , d is the partial derivative of G( z , x , w , u , ... ) with respect to the k-th order Taylor coefficient for z. Output: partial [ i_x * nc_partial + k ] for k = 0 , ... , d is the partial derivative of H( x , w , u , ... ) with respect to the k-th order Taylor coefficient for x. Output: partial [ i_z * nc_partial + k ] for k = 0 , ... , d may be used as work space; i.e., may change in an unspecified manner. |
Definition at line 146 of file exp_op.hpp.
Referenced by reverse_erf_op(), reverse_powpv_op(), reverse_powvp_op(), reverse_powvv_op(), and reverse_sweep().