CppAD: A C++ Algorithmic Differentiation Package  20171217
template<class Base >
 void CppAD::local::forward_csum_op ( size_t p, size_t q, size_t i_z, const addr_t * arg, size_t num_par, const Base * parameter, size_t cap_order, Base * taylor )
inline

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

This operation is

```     z = s + x(1) + ... + x(m) - y(1) - ... - y(n).
```
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
 p lowest order of the Taylor coefficient that we are computing. q highest order of the Taylor coefficient that we are computing. 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 `s` in this cummunative summation. `arg[2+i]` for `i = 1 , ... , m` is the variable index of `x(i)`. `arg[2+arg[0]+i]` for `i = 1 , ... , n` is the variable index of `y(i)`. num_par is the number of parameters in parameter. parameter is the parameter vector for this operation sequence. cap_order number of colums in the matrix containing all the Taylor coefficients. taylor Input: `taylor [ arg[2+i] * cap_order + k ]` for `i = 1 , ... , m` and `k = 0 , ... , q` is the k-th order Taylor coefficient corresponding to `x(i)` Input: `taylor [ arg[2+m+i] * cap_order + k ]` for `i = 1 , ... , n` and `k = 0 , ... , q` is the k-th order Taylor coefficient corresponding to `y(i)` Input: `taylor [ i_z * cap_order + k ]` for k = 0 , ... , p, is the k-th order Taylor coefficient corresponding to z. Output: `taylor [ i_z * cap_order + k ]` for k = p , ... , q, is the k-th order Taylor coefficient corresponding to z.

Definition at line 92 of file csum_op.hpp.

Referenced by forward0sweep(), and forward1sweep().