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Project.toml
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22 lines (19 loc) · 823 Bytes
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name = "BlockNLPModels"
uuid = "26fb23fc-4a37-41a0-8f1d-1a5a3817d965"
authors = ["Rishabh Gupta <rishabh@umn.edu>"]
version = "0.1.0"
[deps]
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
[extras]
Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[targets]
test = ["Ipopt", "JuMP", "NLPModelsIpopt", "NLPModelsJuMP", "Random", "SolverCore", "Test", "MadNLP"]