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New version: OrdinaryDiffEqIMEXMultistep v1.2.0 (#121772)
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- Registering package: OrdinaryDiffEqIMEXMultistep
- Repository: https://github.com/SciML/OrdinaryDiffEq.jl
- Created by: @ChrisRackauckas
- Version: v1.2.0
- Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4
- Reviewed by: @ChrisRackauckas
- Reference:
SciML/OrdinaryDiffEq.jl#845 (comment)
- Description: High performance ordinary differential equation (ODE) and
differential-algebraic equation (DAE) solvers, including neural ordinary
differential equations (neural ODEs) and scientific machine learning
(SciML)
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JuliaRegistrator authored Dec 21, 2024
1 parent df57fb1 commit 76eee8a
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Showing 3 changed files with 15 additions and 2 deletions.
11 changes: 9 additions & 2 deletions O/OrdinaryDiffEqIMEXMultistep/Compat.toml
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@@ -1,8 +1,15 @@
[1]
DiffEqBase = "6.152.2-6"
FastBroadcast = "0.3.5-0.3"
OrdinaryDiffEqCore = "1.1.0-1"
OrdinaryDiffEqDifferentiation = ["0.0.0", "1"]
OrdinaryDiffEqNonlinearSolve = ["0.0.0", "1"]
Reexport = "1.2.2-1"
julia = "1.10.0-1"

["1-1.1"]
OrdinaryDiffEqCore = "1.1.0-1"
OrdinaryDiffEqDifferentiation = ["0.0.0", "1"]

["1.2-1"]
ADTypes = "1.11.0-1"
OrdinaryDiffEqCore = "1.14.0-1"
OrdinaryDiffEqDifferentiation = ["0.0.0", "1.2.0-1"]
3 changes: 3 additions & 0 deletions O/OrdinaryDiffEqIMEXMultistep/Deps.toml
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Expand Up @@ -5,3 +5,6 @@ OrdinaryDiffEqCore = "bbf590c4-e513-4bbe-9b18-05decba2e5d8"
OrdinaryDiffEqDifferentiation = "4302a76b-040a-498a-8c04-15b101fed76b"
OrdinaryDiffEqNonlinearSolve = "127b3ac7-2247-4354-8eb6-78cf4e7c58e8"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"

["1.2-1"]
ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
3 changes: 3 additions & 0 deletions O/OrdinaryDiffEqIMEXMultistep/Versions.toml
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@@ -1,2 +1,5 @@
["1.1.0"]
git-tree-sha1 = "9f8f52aad2399d7714b400ff9d203254b0a89c4a"

["1.2.0"]
git-tree-sha1 = "b35b6db127ad50bc502f72dbd5a84a1e1d1bbf01"

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