Struct IpoptData 

pub struct IpoptData {

    pub curr: Option<IteratesVector>,
    pub trial: Option<IteratesVector>,
    pub delta: Option<IteratesVector>,
    pub delta_aff: Option<IteratesVector>,
    pub delta_cen: Option<IteratesVector>,
    pub w: Option<Rc<dyn SymMatrix>>,
    pub iter_count: Index,
    pub curr_mu: Number,
    pub curr_tau: Number,
    pub tol: Number,
    pub perturbations: PdPerturbations,
    pub kkt_debug: Option<KktDebug>,
    pub info_alpha_primal: Number,
    pub info_alpha_dual: Number,
    pub info_regu_x: Number,
    pub info_skip_output: bool,
    pub info_string: String,
    pub tiny_step_flag: bool,
    pub request_resto: bool,
    pub info_alpha_primal_char: char,
    pub info_ls_count: Index,
    pub info_last_output: Number,
    pub info_iters_since_header: Index,
    pub timing: Rc<TimingStatistics>,
}

Mutable state passed down through the algorithm. Owned by IpoptAlgorithm; strategies access via Rc<RefCell<IpoptData>>.

Fields

curr: Option<IteratesVector>

trial: Option<IteratesVector>

delta: Option<IteratesVector>

delta_aff: Option<IteratesVector>

delta_cen: Option<IteratesVector>

Pure centering step — solution of the primal-dual system with RHS (0, 0, 0, 0, μ̄·1, μ̄·1, μ̄·1, μ̄·1) (where μ̄ = avrg_compl) per upstream IpQualityFunctionMuOracle.cpp:227-247. Used by the quality-function oracle to assemble σ-step trial points without re-factorising for each candidate σ.

w: Option<Rc<dyn SymMatrix>>

Hessian of the Lagrangian for the current iterate. Set by HessianUpdater (exact or quasi-Newton). Mirrors IpIpoptData::W_.

iter_count: Index

curr_mu: Number

curr_tau: Number

tol: Number

perturbations: PdPerturbations

kkt_debug: Option<KktDebug>

KKT-factorization diagnostics for the debugger (set after a search-direction solve when a debugger is installed). The full matrix triplets and LDLᵀ factor are captured here whenever the debugger is stepping (see DebugHook::wants_kkt_capture) and dropped when it detaches, so viz kkt / viz L always have the previous iteration’s system to look back at without paying the O(nnz) assembly during a free run.

info_alpha_primal: Number

Set after a successful trial-acceptance step in the line search. Cleared on accept.

info_alpha_dual: Number

info_regu_x: Number

Mirrors IpIpoptData::info_regu_x_.

info_skip_output: bool

Mirrors IpIpoptData::info_skip_output_.

info_string: String

Mirrors IpIpoptData::info_string_. Free-form text the iteration output appends to its line.

tiny_step_flag: bool

Mirrors IpIpoptData::tiny_step_flag_. Set by the line search when an alpha→0 trial is detected; the main loop reads it on the next pass to decide between “tiny step accept” and bail.

request_resto: bool

Emergency restoration request from the μ-update layer. Set by [AdaptiveMuUpdate] when the probing oracle’s input iterate is corrupted (curr_avrg_compl ≫ curr_mu) so the main loop invokes restoration instead of letting the oracle snap μ up many orders of magnitude. Pounce-specific guard; no upstream counterpart. See pounce#58.

info_alpha_primal_char: char

One-char marker the iteration output puts in front of alpha_primal (e.g. 'f' for filter, 'r' for restoration, 'h' for the very first iterate). Mirrors IpIpoptData::info_alpha_primal_char_.

info_ls_count: Index

Number of trial points evaluated in the most recent line search. Mirrors IpIpoptData::info_ls_count_.

info_last_output: Number

The wall-clock at the last OrigIterationOutput::WriteOutput pass. Phase 7 uses this to decide whether to re-print the header. Mirrors IpIpoptData::info_last_output_.

info_iters_since_header: Index

Iterations since the iteration header was last printed. Phase 7 reprints every print_frequency_iter lines. Mirrors IpIpoptData::info_iters_since_header_.

timing: Rc<TimingStatistics>

Shared per-subsystem timing accumulator. Mirrors upstream’s IpoptData::TimingStats_. IpoptApplication constructs a single instance per solve and shares it (via Rc) with the algorithm, NLP, and KKT solver so each can record its own contribution. Defaults to a fresh empty instance for the structural unit tests that don’t go through IpoptApplication.

Implementations

impl IpoptData

pub fn new() -> Self

pub fn append_info_string(&mut self, s: &str)

Append text to info_string. Mirrors IpIpoptData::Append_info_string.

pub fn reset_info(&mut self)

Reset per-iteration info fields. Mirrors the top of IpoptAlgorithm::Optimize’s loop body.

pub fn accept_trial_point(&mut self)

Replace curr with the previously-set trial. Mirrors IpIpoptData::AcceptTrialPoint.

pub fn set_trial(&mut self, trial: IteratesVector)

Set the trial iterate from a primal step delta_x/delta_s scaled by alpha_p and a dual step scaled by alpha_d. Phase 5 ships only the structural plumbing; the actual arithmetic is implemented once the line search lands in Phase 7.

pub fn set_curr(&mut self, curr: IteratesVector)

pub fn set_delta(&mut self, d: IteratesVector)

pub fn set_delta_aff(&mut self, d: IteratesVector)

pub fn set_delta_cen(&mut self, d: IteratesVector)

Trait Implementations

impl Default for IpoptData

fn default() -> Self

Returns the “default value” for a type.