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akreon-convex
Typed convex modeling, conic canonicalization, and primal-dual optimization in C++26.
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Per-cone scalar diagnostics for one predictor or corrector pass. More...
#include <pd_ipm_trace.hpp>
Public Attributes | |
| T | mu {} |
| Local normalized duality gap for this cone. | |
| T | rhs_c_norm {} |
| ||rhs_c||_2 in this cone block. | |
| T | pz_rhs_norm {} |
| ||pz_rhs||_2 after this cone contribution. | |
| bool | active {} |
| Set true when this cone was touched/populated. | |
Per-cone scalar diagnostics for one predictor or corrector pass.
Structural fields such as cone kind, cone offset, and cone dimension are not duplicated here. Join this record with CanonicalTrace::cones[i] when producing debug output.
Definition at line 27 of file pd_ipm_trace.hpp.
| bool convex::ConeStepTrace< T >::active {} |
Set true when this cone was touched/populated.
Definition at line 31 of file pd_ipm_trace.hpp.
| T convex::ConeStepTrace< T >::mu {} |
Local normalized duality gap for this cone.
Definition at line 28 of file pd_ipm_trace.hpp.
| T convex::ConeStepTrace< T >::pz_rhs_norm {} |
||pz_rhs||_2 after this cone contribution.
Definition at line 30 of file pd_ipm_trace.hpp.
| T convex::ConeStepTrace< T >::rhs_c_norm {} |
||rhs_c||_2 in this cone block.
Definition at line 29 of file pd_ipm_trace.hpp.