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cppad_py-> setup.py library whats_new_2018

library-> py_lib cpp_lib

cpp_lib-> a_double vector cpp_fun sparse cpp_utility more_cpp

cpp_fun-> cpp_independent cpp_abort_recording cpp_fun_ctor cpp_fun_property cpp_fun_new_dynamic cpp_fun_jacobian cpp_fun_hessian cpp_fun_forward cpp_fun_reverse cpp_fun_optimize

cpp_fun_ctor

Headings-> Syntax ---..d_fun ---..a_fun ax ay f af Example

@(@\newcommand{\B}[1]{ {\bf #1} } \newcommand{\R}[1]{ {\rm #1} }@)@ Stop Current Recording and Store Function Object
Syntax

d_fun
f = cppad_py::d_fun(ax, ay)

a_fun
af = cppad_py::a_fun(f)

ax
This argument has prototype
     const vec_a_double& ax
and must be the same as ax returned by the previous call to independent; i.e., it must be the independent variable vector. We use the notation n = ax.size() to denote the number of independent variables.

ay
This argument has prototype
     const vec_a_double& ax
It specifies the dependent variables. We use the notation m = ay.size() to denote the number of dependent variables.

f
This result has prototype
     cppad_py::d_fun f
It has a representation for the floating point operations that mapped the independent variables to the dependent variables. This object computes function and derivative values using double.

af
This result has prototype
     cppad_py::a_fun af
It has a representation of the same function as f . This object computes function and derivative values using a_double. Initially, there are not Taylor coefficient stored in af ; i.e., af.size_order() is zero.

Example
All of the examples use these constructors.

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Input File: lib/cplusplus/fun.cpp