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Some solvers work with discrete-time systems, others with continuous-time systems.
We should make a function that converts a continuous-time system into a discrete-time system automatically.
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This is likely post-mvp.
We can initially use SIR model, but the code should be flexible enough to replace it with another model.
# The model
We want to solve a system of first-order non-linear o…
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Thank you for the great implementation.
I have read the paper several times, but couldn't implement it
I want to implement it in python using numpy.
Please can you provide detailed algorithm or pip…
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The RK2 function appears in the source file CDrone, line 615, which is Runge-Kutta method. But this function wasn't fully given in this project, and can't be found in the MATLAB document or the packag…
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The file path: odeintr/inst/include/boost/numeric/odeint/stepper/generation/generation_runge_kutta_cash_karp54_classic.hpp
is not portable because tar files are not required to store more than 100 by…
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A came across the article ["Diagonally implicit Runge–Kutta methods for stiff ODEs" of Christopher Kennedy and Mark Carpenter (2019)](https://doi.org/10.1016/j.apnum.2019.07.008) and couldn't find an …
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Arrays of arrays work for most explicit solvers, but are not yet supported by stabilized Runge-Kutta solvers such as `RKC`, `ROCK2`, and `ROCK4`. Here's a MWE:
```julia
using Pkg; Pkg.activate(temp=…
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In your RK3 function, was wondering how you calculated: alpha_ts, beta_ts, and Cdt
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### Desiderata features
+ Compressible, multi-fluid, multi-phase, Navier-Stokes equations:
+ Preconditioned equations to efficient handling incompressibile, compressible, cavitating and multi-ph…
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