v0.3.1

BilevelJuMP v0.3.1

Diff since v0.3.0

Closed issues:

• Refuse s2->s1) (#81)

Merged pull requests:

• Update MOI (#88) (@joaquimg)

v0.3.0

BilevelJuMP v0.3.0

Diff since v0.2.0

Closed issues:

• Check lower level objective sense (#62)
• support value(::GenericAffExpr{Float64, BilevelJuMP.BilevelVariableRef}) (#70)
• Set solver attribute (#71)
• Error using value with expressions (appeared with new release) (#72)
• MathOptInterface.Bridges.LazyBridgeOptimizer{Ipopt.Optimizer} does not support copy with names (#73)
• FortunyAmatMcCarlMode : primal/dual_big_M not implemented (#74)
• Simple fix: get_optimizer_attribute (#80)

Merged pull requests:

• Many many fixes and benchmark files (#76) (@joaquimg)
• Added method to check lower objective sense (#79) (@guilhermebodin)
• benchmarks and minor fixes (#83) (@joaquimg)
• Fix set_optimizer_attribute (#84) (@davide-f)
• Update README.md (#85) (@matbesancon)
• Automatic format print_lp (#86) (@davide-f)

v0.2.0

BilevelJuMP v0.2.0

Diff since v0.1.0

Closed issues:

• Fortuny-Amat method with Primal and Dual bounds (#2)
• Use LP strong duality instead of Complementary Slackness (#3)
• Allow Vector constraints (#5)
• Allow bounds on variables (SingleVariable function) (#6)
• Model complementarity with indicator constraints (#9)
• Improve model printing (#22)
• Query duals (#24)
• Query constraint primal (#41)
• Allow setting exogenous bounds for lower level variables (#44)
• Fix problems for Ipopt update (#56)
• Implement SOS1 for vector valued constraints (#58)
• Implement (get) JuMP.normalized_rhs (#63)
• Pass optimizer (#64)
• Get atributes (#65)
• Bug in using set_start_value (#67)

Merged pull requests:

• Add value function for constraint primal (#50) (@guilhermebodin)
• Strong duality mode (#51) (@joaquimg)
• Vector constraint tests (#52) (@joaquimg)
• Add Single Variable tests (#53) (@joaquimg)
• add indicator mode (#54) (@joaquimg)
• Typo in README.md (#55) (@ianfiske)
• add kwarg force::Bool=false to JuMP.fix method (#59) (@NLaws)
• First fortuny-amat solvers (#60) (@joaquimg)
• Improve dual and status handling (#61) (@joaquimg)
• Many fixes (#69) (@joaquimg)

v0.1.0

BilevelJuMP v0.1.0

Closed issues:

• Allow quadratic constraints in the upper level (#10)
• Rename variable constructors (#13)
• Add tests with problems where upper variables are not in lower and vice-versa (#14)
• Change formulations dispatch (#15)
• Add quadratic objective to lower level (#17)
• Represent Duals of lower on upper (#21)
• Start value for variables (#28)
• Plug QuadraticToBinary here (#37)
• Query lower level objective (#40)
• Improve README (#43)

Merged pull requests:

• More formulations and set travis (#11) (@joaquimg)
• Add docs (#12) (@guilhermebodin)
• Update BilevelSolverMode to an AbstractType (#16) (@guilhermebodin)
• Rename variable constructor (#18) (@joaquimg)
• Enable level only variables (#19) (@joaquimg)
• Enable QPs (#20) (@joaquimg)
• Represent QPs, Duals from lower level and add NLP solvers (#25) (@joaquimg)
• Add Positive SOS (#29) (@joaquimg)
• add plural methods tests (#30) (@joaquimg)
• Update README (#31) (@joaquimg)
• Add conic implementations (#32) (@joaquimg)
• status to readme (#33) (@joaquimg)
• Many updates (#34) (@joaquimg)
• Add new tests with Fanzeres et al. 2019 (#38) (@guilhermebodin)
• Enable QuadraticToBinary (#39) (@joaquimg)
• Add lower_objective_value (#42) (@guilhermebodin)
• Dual information handling (#46) (@joaquimg)
• Query lower level duals (#48) (@guilhermebodin)
• improve readme (#49) (@joaquimg)