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Bump and update [compat] (#134)
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* Update Project with new dependencies

* remove FiniteDifferences from dependencies

* Example of APWP fit based on Jupp1987

* add complex-step method

* Double differentiation working with complex-step method

* Initial condition u0 fitting implemented

* Projected gradient descent working for u0. Some more tests

* Testing activation functions with complex-step

* predict function, return multiple losses

* Co-authored-by: Jordi Bolibar <[email protected]>

* Multiple shooting working once sensealg specified

* Double rotation example with small changes in src

* feat: update to support Lux 1.0

* Example with double rotation working with non-updated Lux

* Integration test of inversion

* Added Random as test dependency

* Fix Lux version

Co-authored-by: Avik Pal <[email protected]>

* Reorganization of loss function in different module

* Implementation of cubic splines as Jupp 1987

* Curl examples and reweighted loss experiment

* minimal changes

* Bump version

* Added dependencies to compat

* Remove OptimizationPolyalgorithms from dependencies

---------

Co-authored-by: Avik Pal <[email protected]>
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facusapienza21 and avik-pal authored Nov 7, 2024
1 parent 3cb22f6 commit 6a769ff
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23 changes: 12 additions & 11 deletions Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -5,24 +5,19 @@ version = "0.1.3"

[deps]
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FastGaussQuadrature = "442a2c76-b920-505d-bb47-c5924d526838"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
Infiltrator = "5903a43b-9cc3-4c30-8d17-598619ec4e9b"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
OptimizationPolyalgorithms = "500b13db-7e66-49ce-bda4-eed966be6282"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OrdinaryDiffEqCore = "bbf590c4-e513-4bbe-9b18-05decba2e5d8"
OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Expand All @@ -37,23 +32,29 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
BenchmarkTools = "1"
ChainRules = "1"
ComponentArrays = "0.15"
DiffEqFlux = "4"
Distributions = "0.25"
FastGaussQuadrature = "1"
ForwardDiff = "0.10"
Infiltrator = "1.2"
julia = "1.10"
LineSearches = "7"
Lux = "1.0"
Optimization = "3.12"
OptimizationOptimJL = "0.1.5"
OptimizationOptimisers = "0.1.2"
Optimization = "3.12, 4"
OptimizationOptimisers = "0.1.2, 0.3"
OptimizationOptimJL = "0.1.5, 0.4"
OrdinaryDiffEqCore = "1.6.0"
OrdinaryDiffEqTsit5 = "1.1.0"
Plots = "1"
PrettyTables = "2"
PyCall = "1.9"
PyPlot = "2.11"
Revise = "3.1"
SciMLSensitivity = "7.20"
Statistics = "1"
Zygote = "0.6"
julia = "1.10"

[extras]
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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3 changes: 1 addition & 2 deletions src/SphereUDE.jl
Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,7 @@ using Lux, Zygote, DiffEqFlux
using ChainRules: @ignore_derivatives
using OrdinaryDiffEqCore, OrdinaryDiffEqTsit5
using SciMLSensitivity, ForwardDiff
using Optimization, OptimizationOptimisers, OptimizationOptimJL
using OptimizationPolyalgorithms, LineSearches
using Optimization, OptimizationOptimisers, OptimizationOptimJL, LineSearches
using ComponentArrays
using PyPlot, PyCall
using PrettyTables, Printf
Expand Down

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@JuliaRegistrator register()

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Registration pull request updated: JuliaRegistries/General/118847

Tip: Release Notes

Did you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
"Release notes:" and it will be added to the registry PR, and if TagBot is installed it will also be added to the
release that TagBot creates. i.e.

@JuliaRegistrator register

Release notes:

## Breaking changes

- blah

To add them here just re-invoke and the PR will be updated.

Tagging

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.3 -m "<description of version>" 6a769ffdd4ec7e11c08fbdec0edfb1a6aa788f2c
git push origin v0.1.3

Also, note the warning: Version 0.1.3 skips over 0.1.2
This can be safely ignored. However, if you want to fix this you can do so. Call register() again after making the fix. This will update the Pull request.

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