CppAD: A C++ Algorithmic Differentiation Package  20130102
bool cppad_ipopt::cppad_ipopt_nlp::get_starting_point ( Index  n,
bool  init_x,
Number x,
bool  init_z,
Number z_L,
Number z_U,
Index  m,
bool  init_lambda,
Number lambda 
) [virtual]

Return initial x value where optimiation is started.

Parameters:
[in]nmust be equal to the domain dimension for f(x) and g(x); i.e., it must be equal to n_.
[in]init_xmust be equal to true.
[out]xis a vector of size n. The input value of its elements does not matter. On output, it is a copy of the initial value for $ x $; i.e. x_i_.
[in]init_zmust be equal to false.
z_Lis not used.
z_Uis not used.
[in]mmust be equal to the range dimension for g(x); i.e., it must be equal to m_.
init_lambdamust be equal to false.
lambdais not used.

Definition at line 367 of file cppad_ipopt_nlp.cpp.

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