Struct NlpWarmStart 

pub struct NlpWarmStart {
    pub x: Vec<Number>,
    pub lambda: Vec<Number>,
    pub z_l: Vec<Number>,
    pub z_u: Vec<Number>,
    pub mu: Option<Number>,
}

Per-instance warm-start iterate for solve_nlp_batch_parallel_warm: primal point plus the three dual vectors the IPM’s warm-start initializer consumes via TNLP::get_starting_point. Build one from a previous batch’s NlpBatchSolution (the From impl) for MPC / sequential-chaining workloads.

Fields

x: Vec<Number>

lambda: Vec<Number>

Constraint multipliers λ.

z_l: Vec<Number>

Lower / upper bound multipliers.

z_u: Vec<Number>

mu: Option<Number>

Barrier parameter μ to resume from — typically the previous solve’s final μ (SolveStatistics::final_mu). When Some, the warm batch sets mu_init to it (floored at 1e-9, and only if the caller’s configure didn’t set mu_init explicitly), so the IPM continues near the converged barrier instead of recentering at the cold default 0.1 — without this, a warm start from a near-optimal point can gain iterations walking back out to the central path.

Trait Implementations

impl Clone for NlpWarmStart

fn clone(&self) -> NlpWarmStart

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NlpWarmStart

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

Formats the value using the given formatter.

impl Default for NlpWarmStart

fn default() -> NlpWarmStart

Returns the “default value” for a type.

impl From<&NlpBatchResult> for NlpWarmStart

Build a warm start from a full batch result: iterate + duals from the captured solution, μ from the statistics. An instance whose solve produced no solution yields an empty warm start, which the next solve treats as a cold start (dimension-mismatch fallback).

fn from(r: &NlpBatchResult) -> Self

Converts to this type from the input type.

impl From<&NlpBatchSolution> for NlpWarmStart

fn from(sol: &NlpBatchSolution) -> Self

Converts to this type from the input type.