fix `eigen_est` for in place explicit solvers with `Complex` `u0`

SciML / OrdinaryDiffEq.jl

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

https://diffeq.sciml.ai/latest/

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fix `eigen_est` for in place explicit solvers with `Complex` `u0` #2262

Closed oscardssmith closed 1 week ago

oscardssmith commented 1 week ago

bug fix for https://github.com/SciML/OrdinaryDiffEq.jl/pull/2204 with complex inputs found by Ron in slack.

ChrisRackauckas commented 1 week ago

Can you isolate that depwarn?

oscardssmith commented 1 week ago

which depwarn?

ChrisRackauckas commented 1 week ago

wrong tab