SciML / SciML/DiffEqNoiseProcess.jl
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- Dominant language
- Julia
- Stars
- 62
- Forks
- 32
- Avg merge
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- Merged PRs (30d)
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Description
using DiffEqNoiseProcess
#using DifferentialEquations
u0 = rand(2)
tgrid = 0.0:0.1:10.0
brownian_noise = randn(length(u0)*(length(tgrid)-1))
brownian_noise = reshape(brownian_noise,length(u0),length(tgrid)-1)
brownian_noise = vcat([zeros(length(u0))], [c for c in eachcol(brownian_noise)])
W = NoiseGrid(tgrid,brownian_noise)
prob = NoiseProblem(W, (tgrid[begin], tgrid[end]))
ERROR: UndefVarError: NoiseProblem not defined
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the provided Julia reproduction and inspect the DiffEqNoiseProcess exports and the definition of NoiseProblem. Verify the example after addressing the missing name; done means the shown code can use NoiseProblem without an UndefVarError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- api
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100