Project.toml

name = "RegularizedProblems"
uuid = "ea076b23-609f-44d2-bb12-a4ae45328278"
authors = ["Dominique Orban <dominique.orban@gmail.com>, Robert Baraldi <robertjbaraldi@gmail.com"]
version = "0.1.1"

[deps]
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
Noise = "81d43f40-5267-43b7-ae1c-8b967f377efa"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"

[compat]
ADNLPModels = "^0.3, 0.4, 0.7"
Distributions = "0.25"
MLDatasets = "^0.7.4"
NLPModels = "0.16, 0.17, 0.18, 0.19, 0.20, 0.21"
Noise = "0.2"
Requires = "1"
julia = "^1.6.0"

[extras]
ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
ProximalOperators = "a725b495-10eb-56fe-b38b-717eba820537"
QuadraticModels = "f468eda6-eac5-11e8-05a5-ff9e497bcd19"
ShiftedProximalOperators = "d4fd37fa-580c-4e43-9b30-361c21aae263"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["ADNLPModels", "DifferentialEquations", "MLDatasets", "ProximalOperators", "QuadraticModels", "ShiftedProximalOperators", "Test"]