- a -

• adaptConfig : multHPX.cpp
• alpha : multHPX.cpp

- b -

• baseFolder : degradationReproducer.cpp , samplerScenario.cpp , evaluateConsistency.cpp

- d -

• dataset : multHPX.cpp
• dataSizeVectorResult : multHPX.cpp

- f -

• f : AugmentedLagrangian.cpp , LogBarrier.cpp , SquaredPenalty.cpp
• fGradient : LogBarrier.cpp , AugmentedLagrangian.cpp , SquaredPenalty.cpp
• fileName : multHPX.cpp

- g -

• g : AugmentedLagrangian.cpp , LogBarrier.cpp , SquaredPenalty.cpp
• gGradient : AugmentedLagrangian.cpp , LogBarrier.cpp , SquaredPenalty.cpp

- h -

• h : AugmentedLagrangian.cpp , SquaredPenalty.cpp
• hGradient : AugmentedLagrangian.cpp , SquaredPenalty.cpp

- i -

• is_root_node : multHPX.cpp

- l -

• lambda : AugmentedLagrangian.cpp
• level : multHPX.cpp

- m -

• m : LogBarrier.cpp
• mG : AugmentedLagrangian.cpp , SquaredPenalty.cpp
• mH : AugmentedLagrangian.cpp , SquaredPenalty.cpp
• mu : SquaredPenalty.cpp , LogBarrier.cpp , AugmentedLagrangian.cpp

- s -

• sMax : AugmentedLagrangian.cpp
• sMin : AugmentedLagrangian.cpp

- t -

• trainingData : multHPX.cpp