SciML / SciML/DataDrivenDiffEq.jl
Problem with dimension
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Description
Question❓
I am new to Julia, and I am a researcher in mathematics working with the synchronization of nonlinear dynamical systems. While implementing koopman_res as in the nonlinear_forced.jl the link: for my system, its showing the error : Test threw exception
Expression: ≈(get_inputmap(koopman_res), [0, 1.0, 0.0, 0.0, 0.0], atol = 0.1)
DimensionMismatch: dimensions must match: a has dims (Base.OneTo(0), Base.OneTo(0)), b has dims (Base.OneTo(5),), mismatch at 1
Please do suggest identifying the dimension of the function "get_inputmap(koopman_res)".
Thank you in advance.
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Research direction
Start with the nonlinear_forced.jl example linked in the issue and inspect how koopman_res is created and passed to get_inputmap. Reproduce the reported comparison with the expected five-element vector, then trace the resulting dimensions. Done means explaining the zero-dimensional result and identifying the relevant correction or missing input information.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100