Struct IpoptNlpAdapter 

pub struct IpoptNlpAdapter { /* private fields */ }

Implementations

impl IpoptNlpAdapter

pub fn new(nlp: Rc<RefCell<dyn IpoptNlp>>) -> Self

Build the adapter from an IpoptNlp handle. Dimensions are queried directly from Nlp::n(), Nlp::m_eq(), Nlp::m_ineq().

Trait Implementations

impl SqpProblemSpec for IpoptNlpAdapter

fn n(&self) -> usize

fn m(&self) -> usize

fn x_init(&self) -> Vec<Number>

fn variable_bounds(&self) -> (Vec<Number>, Vec<Number>)

fn constraint_bounds(&self) -> (Vec<Number>, Vec<Number>)

fn eval_f(&mut self, x: &[Number]) -> Number

fn eval_grad_f(&mut self, x: &[Number]) -> Vec<Number>

fn eval_c(&mut self, x: &[Number]) -> Vec<Number>

c(x) — combined constraint values (length m). The constraint bounds from constraint_bounds apply directly: row i is a strict equality if bl[i] == bu[i], an inequality otherwise.

fn eval_jac_c(&mut self, x: &[Number]) -> Triplet

∇c(x) as a sparse m × n triplet (1-based indices).

fn eval_hess_lag(&mut self, x: &[Number], lambda_g: &[Number]) -> Triplet

∇²L(x, λ_g) = ∇²f(x) + Σ λ_g_i · ∇²c_i(x) as a sparse symmetric n × n triplet.