| SolveLogOuterClass |
|
| SolveLogOuterClass.ConvergenceInformation |
Information measuring how close a candidate is to establishing feasibility
and optimality; see also TerminationCriteria.
|
| SolveLogOuterClass.ConvergenceInformation.Builder |
Information measuring how close a candidate is to establishing feasibility
and optimality; see also TerminationCriteria.
|
| SolveLogOuterClass.FeasibilityPolishingDetails |
Details about one primal feasibility or dual feasibility polishing phase
within a solve with `use_feasibility_polishing`.
|
| SolveLogOuterClass.FeasibilityPolishingDetails.Builder |
Details about one primal feasibility or dual feasibility polishing phase
within a solve with `use_feasibility_polishing`.
|
| SolveLogOuterClass.InfeasibilityInformation |
Information measuring how close a point is to establishing primal or dual
infeasibility (i.e.
|
| SolveLogOuterClass.InfeasibilityInformation.Builder |
Information measuring how close a point is to establishing primal or dual
infeasibility (i.e.
|
| SolveLogOuterClass.IterationStats |
All values in IterationStats assume that the primal quadratic program is a
minimization problem and the dual is a maximization problem.
|
| SolveLogOuterClass.IterationStats.Builder |
All values in IterationStats assume that the primal quadratic program is a
minimization problem and the dual is a maximization problem.
|
| SolveLogOuterClass.PointMetadata |
Protobuf type operations_research.pdlp.PointMetadata
|
| SolveLogOuterClass.PointMetadata.Builder |
Protobuf type operations_research.pdlp.PointMetadata
|
| SolveLogOuterClass.QuadraticProgramStats |
Easy-to-compute statistics for the quadratic program.
|
| SolveLogOuterClass.QuadraticProgramStats.Builder |
Easy-to-compute statistics for the quadratic program.
|
| SolveLogOuterClass.SolveLog |
Protobuf type operations_research.pdlp.SolveLog
|
| SolveLogOuterClass.SolveLog.Builder |
Protobuf type operations_research.pdlp.SolveLog
|
| Solvers |
|
| Solvers.AdaptiveLinesearchParams |
At the end of each iteration, regardless of whether the step was accepted
or not, the adaptive rule updates the step_size as the minimum of two
potential step sizes defined by the following two exponents.
|
| Solvers.AdaptiveLinesearchParams.Builder |
At the end of each iteration, regardless of whether the step was accepted
or not, the adaptive rule updates the step_size as the minimum of two
potential step sizes defined by the following two exponents.
|
| Solvers.MalitskyPockParams |
Protobuf type operations_research.pdlp.MalitskyPockParams
|
| Solvers.MalitskyPockParams.Builder |
Protobuf type operations_research.pdlp.MalitskyPockParams
|
| Solvers.PrimalDualHybridGradientParams |
Parameters for PrimalDualHybridGradient() in primal_dual_hybrid_gradient.h.
|
| Solvers.PrimalDualHybridGradientParams.Builder |
Parameters for PrimalDualHybridGradient() in primal_dual_hybrid_gradient.h.
|
| Solvers.PrimalDualHybridGradientParams.PresolveOptions |
Protobuf type operations_research.pdlp.PrimalDualHybridGradientParams.PresolveOptions
|
| Solvers.PrimalDualHybridGradientParams.PresolveOptions.Builder |
Protobuf type operations_research.pdlp.PrimalDualHybridGradientParams.PresolveOptions
|
| Solvers.TerminationCriteria |
Relevant readings on infeasibility certificates:
(1) https://docs.mosek.com/modeling-cookbook/qcqo.html provides references
explaining why the primal rays imply dual infeasibility and dual rays imply
primal infeasibility.
|
| Solvers.TerminationCriteria.Builder |
Relevant readings on infeasibility certificates:
(1) https://docs.mosek.com/modeling-cookbook/qcqo.html provides references
explaining why the primal rays imply dual infeasibility and dual rays imply
primal infeasibility.
|
| Solvers.TerminationCriteria.DetailedOptimalityCriteria |
Protobuf type operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria
|
| Solvers.TerminationCriteria.DetailedOptimalityCriteria.Builder |
Protobuf type operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria
|
| Solvers.TerminationCriteria.SimpleOptimalityCriteria |
Protobuf type operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria
|
| Solvers.TerminationCriteria.SimpleOptimalityCriteria.Builder |
Protobuf type operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria
|