Ecosyste.ms: Packages
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juliahub.com : OrdinaryDiffEq : 6.44.1
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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Documentation -
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purl: pkg:julia/[email protected]
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v6.44.1
Dependencies
- Adapt 1.1.0-3
- ArrayInterface 6
- ArrayInterfaceCore 0.1.22-0.1
- ArrayInterfaceGPUArrays 0.1-0.2
- ArrayInterfaceStaticArrays 0.1
- ArrayInterfaceStaticArraysCore 0.1.2-0.1
- DataStructures 0.18
- DiffEqBase 6.116.0-6
- DocStringExtensions 0.8-0.9
- ExponentialUtilities 1.22.0-1
- FastBroadcast 0.1.9-0.2
- FastClosures 0.3
- FiniteDiff 2
- ForwardDiff 0.10.3-0.10
- FunctionWrappersWrappers 0.1
- LinearSolve 1.9.0-1
- LoopVectorization 0.12
- MacroTools 0.5
- MuladdMacro 0.2.1-0.2
- NLsolve 4.3.0-4
- NonlinearSolve 1.1.0-1
- Polyester 0.3-0.7
- PreallocationTools 0.2-0.4
- Preferences 1.3.0-1
- RecursiveArrayTools 2.36.0-2
- Reexport 0.2,1
- SciMLBase 1.83.0-1
- SciMLNLSolve 0.1
- SimpleNonlinearSolve 0.1.4-0.1
- SnoopPrecompile 1
- SparseDiffTools 1.26.2-1
- StaticArrays 0.11-0.12,1
- UnPack 0.1,1
- julia 1.6.0-1