CppAD: A C++ Algorithmic Differentiation Package
20171217
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Forward mode Taylor coefficient for result of op = ErfOp.
The C++ source code corresponding to this operation is
z = erf(x)
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. |
q | order of the Taylor coefficients that we are computing. |
r | number of directions for the Taylor coefficients that we afre computing. |
i_z | variable index corresponding to the last (primary) result for this operation; i.e. the row index in taylor corresponding to z. The auxillary results have index i_z - j for j = 0 , ... , 4 (and include z). |
arg | arg[0]: is the variable index corresponding to x. arg[1]: is the parameter index corresponding to the value zero.
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parameter | parameter[ arg[1] ] is the value zero, and parameter[ arg[2] ] is the value 2 / sqrt(pi). |
cap_order | maximum number of orders that will fit in the taylor array. |
tpv = (cap_order-1) * r + 1
which is the number of Taylor coefficients per variabletaylor | Input: If x is a variable, taylor [ arg[0] * tpv + 0 ] , is the zero order Taylor coefficient for all directions and taylor [ arg[0] * tpv + (k-1)*r + ell + 1 ] , for k = 1 , ... , q, ell = 0, ..., r-1, is the k-th order Taylor coefficient corresponding to x and the ell-th direction. Input: taylor [ (i_z - j) * tpv + 0 ] is the zero order Taylor coefficient for all directions and the j-th result for z. for k = 1 , ... , q-1, ell = 0, ... , r-1, taylor[ (i_z - j) * tpv + (k-1)*r + ell + 1] is the Taylor coefficient for the k-th order, ell-th direction, and j-th auzillary result. Output: taylor [ (i_z-j) * tpv + (q-1)*r + ell + 1 ], for ell = 0 , ... , r-1, is the Taylor coefficient for the q-th order, ell-th direction, and j-th auzillary result. |
Definition at line 332 of file erf_op.hpp.
Referenced by forward2sweep().