Project.toml

name = "InputOptimization"
uuid = "60d45ff6-b418-4459-9211-1f93a9010781"
authors = ["Joshua Ott <joshuaott2@gmail.com>"]
version = "0.1.0"

[deps]
Clarabel = "61c947e1-3e6d-4ee4-985a-eec8c727bd6e"
DataDrivenDiffEq = "2445eb08-9709-466a-b3fc-47e12bd697a2"
DataDrivenSparse = "5b588203-7d8b-4fab-a537-c31a7f73f46b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
ECOS = "e2685f51-7e38-5353-a97d-a921fd2c8199"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
Gurobi = "2e9cd046-0924-5485-92f1-d5272153d98b"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
Kronecker = "2c470bb0-bcc8-11e8-3dad-c9649493f05e"
LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
MosekTools = "1ec41992-ff65-5c91-ac43-2df89e9693a4"
NLopt = "76087f3c-5699-56af-9a33-bf431cd00edd"
NPZ = "15e1cf62-19b3-5cfa-8e77-841668bca605"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SCS = "c946c3f1-0d1f-5ce8-9dea-7daa1f7e2d13"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
WaterLily = "ed894a53-35f9-47f1-b17f-85db9237eebd"