crossover:v0; first simple version for feedback#56
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After OPTIMAL termination, optionally snap primal coordinates near finite box bounds, tighten implied bounds from equality rows, and roll back if KKT errors regress. Controlled by CrossoverParameters on Algorithm (on by default). Effective bounds run on CPU once per solve and copy back to device. Not a basic-vertex crossover (unlike cuOpt): useful when PDLP stops near bounds, usually a no-op for strictly interior solutions. Refs JuliaDecisionFocusedLearning#13
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Enum values are not separate doc bindings; use inline code instead of @ref.
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Add V1 post-solve crossover (threshold snap + implied bounds) Refs #13
Post-OPTIMAL crossover for PDLP: snap primal coordinates near finite box bounds, tighten implied bounds from equality rows, rollback if KKT residuals regress. Controlled by CrossoverParameters on Algorithm (enabled by default).
V1 is not a basic-vertex crossover (unlike cuOpt): it helps near-bound / implied-bound cases (e.g. toy_lp) but is usually a no-op when variables stay strictly interior. Lightweight first step toward MIP-ready solutions.
Also realized a small bench compared to cuopt:
I am planning a more advanced version cuopt-like after feedbacks