New Runge–Kutta pairs of orders 9(8) for use in quadruple precision computations

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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New Runge–Kutta pairs of orders 9(8) for use in quadruple precision computations #2159

Closed ranocha closed 5 months ago

ranocha commented 6 months ago

Kovalnogov VN, Fedorov RV, Karpukhina TV, Simos TE, Tsitouras C. Runge–Kutta pairs of orders 9 (8) for use in quadruple precision computations. Numerical Algorithms. 2023 Aug 24:1-5.

https://doi.org/10.1007/s11075-023-01632-8

cwittens commented 5 months ago

shouldn't this issue be closed now that https://github.com/SciML/OrdinaryDiffEq.jl/pull/2166 is merged?