Struct Ipopt 

pub struct Ipopt<P>
where
    P: BasicProblem,
{ /* private fields */ }

Ipopt non-linear optimization problem solver.

This structure is used to store data needed to solve these problems using first and second order methods.

Implementations

impl<P> Ipopt<P>

where P: BasicProblem,

pub fn new_unconstrained(nlp: P) -> Result<Ipopt<P>, CreateError>

Create a new unconstrained non-linear problem.

pub fn set_option<'a, O>( &mut self, name: &str, option: O, ) -> Option<&mut Ipopt<P>>

where O: Into<IpoptOption<'a>>,

Set an Ipopt option.

pub fn set_intermediate_callback( &mut self, mb_cb: Option<fn(&mut P, IntermediateCallbackData) -> bool>, )

where P: BasicProblem,

Set intermediate callback.

pub fn solve(&mut self) -> SolveResult<'_, P>

Solve non-linear problem. Return the solve status and the final value of the objective function.

pub fn solver_data_mut(&mut self) -> SolverDataMut<'_, P>

Get data for inspection and updating.

pub fn solver_data(&self) -> SolverData<'_, P>

Get data for inspection from the internal solver.

impl<P> Ipopt<P>

where P: NewtonProblem,

pub fn new_newton(nlp: P) -> Result<Ipopt<P>, CreateError>

Create a new second order problem, which will be solved using the Newton-Raphson method.

impl<P> Ipopt<P>

where P: ConstrainedProblem,

pub fn new(nlp: P) -> Result<Ipopt<P>, CreateError>

Create a new constrained non-linear problem.

Trait Implementations

impl<P> Debug for Ipopt<P>

where P: BasicProblem + Debug,

Implement debug for Ipopt.

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<P> Drop for Ipopt<P>

where P: BasicProblem,

Free the memory allocated on the C side.

fn drop(&mut self)

Executes the destructor for this type.

impl<P> Send for Ipopt<P>

where P: BasicProblem,

The only non-Send type in Ipopt is nlp_internal, which is a mutable raw pointer to an underlying C struct. It is safe to implement Send for Ipopt here because it cannot be copied or cloned.