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iR2N: R2N for inexact evaluations #260

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iR2N: R2N for inexact evaluations #260

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1 change: 1 addition & 0 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@ NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
NLPModelsModifiers = "e01155f1-5c6f-4375-a9d8-616dd036575f"
Percival = "01435c0c-c90d-11e9-3788-63660f8fbccc"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
ProxTV = "925ea013-038b-5ab6-a1ab-e0849925e528"
ProximalOperators = "a725b495-10eb-56fe-b38b-717eba820537"
RegularizedProblems = "ea076b23-609f-44d2-bb12-a4ae45328278"
ShiftedProximalOperators = "d4fd37fa-580c-4e43-9b30-361c21aae263"
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5 changes: 4 additions & 1 deletion src/RegularizedOptimization.jl
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Expand Up @@ -13,7 +13,8 @@ using LinearOperators,
NLPModelsModifiers,
RegularizedProblems,
ShiftedProximalOperators,
SolverCore
SolverCore,
ProxTV
using Percival: AugLagModel, update_y!, update_μ!

const callback_docstring = "
Expand Down Expand Up @@ -44,7 +45,9 @@ include("LM_alg.jl")
include("LMTR_alg.jl")
include("R2DH.jl")
include("R2NModel.jl")
include("iR2_alg.jl")
include("R2N.jl")
include("AL_alg.jl")
include("iR2N.jl")

end # module RegularizedOptimization
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