CppAD: A C++ Algorithmic Differentiation Package  20171217
template<class Base >
 void CppAD::local::reverse_csum_op ( size_t d, size_t i_z, const addr_t * arg, size_t nc_partial, Base * partial )
inline

Compute reverse mode Taylor coefficients for result of op = CsumOp.

This operation is

```     z = q + x(1) + ... + x(m) - y(1) - ... - y(n).
H(y, x, w, ...) = G[ z(x, y), y, x, w, ... ]
```
Template Parameters
 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.
Parameters
 d order the 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 corresponding to z. arg arg[0] is the number of addition variables in this cummulative summation; i.e., `m`. arg[1] is the number of subtraction variables in this cummulative summation; i.e., `m`. `parameter[ arg[2] ]` is the parameter value `q` in this cummunative summation. `arg[2+i]` for `i = 1 , ... , m` is the value `x(i)`. `arg[2+arg[0]+i]` for `i = 1 , ... , n` is the value `y(i)`. nc_partial number of colums in the matrix containing all the partial derivatives. partial Input: `partial [ arg[2+i] * nc_partial + k ]` for `i = 1 , ... , m` and `k = 0 , ... , d` is the partial derivative of G(z, y, x, w, ...) with respect to the k-th order Taylor coefficient corresponding to `x(i)` Input: `partial [ arg[2+m+i] * nc_partial + k ]` for `i = 1 , ... , n` and `k = 0 , ... , d` is the partial derivative of G(z, y, x, w, ...) with respect to the k-th order Taylor coefficient corresponding to `y(i)` Input: `partial [ i_z * nc_partial + k ]` for `i = 1 , ... , n` and `k = 0 , ... , d` is the partial derivative of G(z, y, x, w, ...) with respect to the k-th order Taylor coefficient corresponding to `z`. Output: `partial [ arg[2+i] * nc_partial + k ]` for `i = 1 , ... , m` and `k = 0 , ... , d` is the partial derivative of H(y, x, w, ...) with respect to the k-th order Taylor coefficient corresponding to `x(i)` Output: `partial [ arg[2+m+i] * nc_partial + k ]` for `i = 1 , ... , n` and `k = 0 , ... , d` is the partial derivative of H(y, x, w, ...) with respect to the k-th order Taylor coefficient corresponding to `y(i)`

Definition at line 332 of file csum_op.hpp.

Referenced by reverse_sweep().