- Refactor ODEqs and SDEqs into DiffEqDiffTools
- Unit tests for PRs into DiffEqDiffTools
- Review SciML/DifferentialEquations.jl#159
- Refactor JuliaDiffEq/OrdinaryDiffEq.jl@8318c0f
- The abstraction of the Shampine Matlab ODE Suite paper is the key goal for project. Many things spring off from this.
- Read tests and get on implementing ODEs as test cases
- Know who people are, what the repos and packages are, know them as a user.
- List 30 packages, people,
- JuliaDiff
- ForwardDiff.jl
- Calculus.jl
- OrdinaryDiffEq.jl
- StochasticDiffEq.jl
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Work through Euler (May9 discussion, DiffEq lobby) and Jacobians
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UCIDataScienceInitiative Projects and such
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DevDocs use case and walkthrough
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Complex autodifferentiation for physics - so then it probably can be a straightforward application of ForwardDiff to build those equations from a Hamiltonian
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Euler-Langrange
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he'll need to dig into how the diffeq functions are differenitated which is all about handling closures and that jazz it's the same idea to differentiate H(p,q) so that would be a good exercise then the internals would make a lot more sense.
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Turbo DiffEqPhysics
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katthyat qmech
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shutz and misner
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wonsheok shin EM
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add old methods for didactic purposes
- Connect well to LSODA
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@shivin9 - speed up elliptics PDEs
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Yannis - FEM
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Ying Bo - BVP
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Typos in all DiffEqDocs et al
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Graph of DiffEq dependencies