Hi all, I am relatively new to Julia. Apologies as it’s a long one but I couldn’t find a solution. I am using NonlinearSolve.jl to solve a somewhat “complicated” system of equations g(u, p) = 0. The reason the function is “complicated” is that in order to calculate g, the code looks like this: fun…

I would say that the best way to to get a “short” version of g would be to put all your temporary and fixed arrays into p. The easiest way to do this is probably by way of a NamedTuple, possibly a nested one. Thus, for example: temp_arrays = (; temp_1 = temp_1, temp_2 = temp_2) # and so on fixed_ar…

Best practices for NonlinearSolve definition with temporary arrays

New to Julia

dieg0 October 6, 2024, 6:37pm 5

I did something akin to it. What @JonasWickman suggested works to make the function type stable. Other useful solutions imply using @unpack or @pack similar to this.

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Best practices for NonlinearSolve definition with temporary arrays

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