JuliaDiff / JuliaDiff/ForwardDiff.jl
Numerical derivative of a time dependent function defined by two arrays
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- Dominant language
- Julia
- Stars
- 1k
- Forks
- 160
- PR merge metrics
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Description
Is it possible to use ForwardDiff to find the numerical scalar derivative of a time dependent function defined with two arrays? For example:
t=[0 1 2 3 4 5 6 7 8 9] #time array with uniform time step
magnitude=[1 4 6 4 3 0 1 2 4 6] #magnitude of the time dependent function at each time step
Something like derivative(magnitude , t)? The output would be an array of the same length as 't' and 'magnitude'.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names ForwardDiff and the arrays t and magnitude, but it identifies no source file, test, or entry point. First clarify whether sampled array values should be supported and what derivative behavior is expected; done would require an agreed result for the example inputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100