Module warm_start 

Warm-start iterate initializer — port of IpWarmStartIterateInitializer.{hpp,cpp}. Used when a previous solve has left a trial point that should be reused.

There are two callers we serve:

• A full primal-dual warm restart installed via Application::set_warm_start_iterate and consumed by the next optimize_tnlp (e.g. the debugger resolve re-solve): data.curr already carries the previous solve’s iterate, so we keep it, clamp multipliers, and optionally override mu.
• First solves from OptimizeTNLP that opt into warm_start_init_point=yes to forward user-supplied primal/dual seeds via TNLP::get_starting_point. Here data.curr carries only dim metadata (uninitialized vectors); we pull seeds from the NLP, push primals/slacks into the bound interior with warm-start bound_push/bound_frac, and then apply the same multiplier clamps.

Wired options today: bound_push, bound_frac, slack_bound_push, slack_bound_frac, mult_bound_push, mult_init_max, target_mu. mult_bound_push floors the four bound-multiplier blocks (mirroring upstream’s ElementWiseMax with warm_start_mult_bound_push): a user-seeded z = 0 would otherwise start the barrier on its boundary. The remaining knobs (entire_iterate, same_structure) are parsed for Ipopt option compatibility but not yet consumed — they require the GetWarmStartIterate TNLP surface, which pounce does not expose.

Structs

WarmStartIterateInitializer