Project.toml

[deps]
BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
DiffEqOperators = "9fdde737-9c7f-55bf-ade8-46b3f136cc48"
EconPDEs = "a3315474-fad9-5060-8696-cee5f38a87b7"
FastGaussQuadrature = "442a2c76-b920-505d-bb47-c5924d526838"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
LabelledArrays = "2ee39098-c373-598a-b85f-a56591580800"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MAT = "23992714-dd62-5051-b70f-ba57cb901cac"
ModelConstructors = "e47e5152-bd14-11e9-1b46-c951f0a7041d"
NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
NLsolve = "2774e3e8-f4cf-5e23-947b-6d7e65073b56"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
SparseDiffTools = "47a9eef4-7e08-11e9-0b38-333d64bd3804"
SparsityDetection = "684fba80-ace3-11e9-3d08-3bc7ed6f96df"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
UnPack = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
VectorizedRoutines = "0e69188a-a5d4-5622-b4e4-a72373136fc5"

[extras]
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["SafeTestsets", "Test"]