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math.NA2026

Backward error analysis for matrix discretizations of 2-D Euler equations

Eugen Bronasco, Klas Modin

We introduce a formalism of Lie--Poisson reduction of Butcher series. The corresponding forest momentum map allows for describing backward error analysis of isospectral symplectic…

math.NA2026

Spectral Deferred Corrections in the framework of Runge-Kutta methods

Eugen Bronasco, Joscha Fregin, Daniel Ruprecht +1

We interpret a wide range of flavors of Spectral Deferred Corrections (SDC) as Runge-Kutta methods (RKM). Using Butcher series, we show that the considered class of SDC methods ach…

math.NA2025

High order integration of stochastic dynamics on Riemannian manifolds with frozen flow methods

Eugen Bronasco, Adrien Busnot Laurent, Baptiste Huguet

We present a new class of numerical methods for solving stochastic differential equations with additive noise on general Riemannian manifolds with high weak order of accuracy. In o…

math.NA2025

Efficient Langevin sampling with position-dependent diffusion

Eugen Bronasco, Benedict Leimkuhler, Dominic Phillips +1

We introduce a numerical method for Brownian dynamics with position dependent diffusion tensor which is second order accurate for sampling the invariant measure while requiring onl…

math.NA2024

Hopf algebra structures for the backward error analysis of ergodic stochastic differential equations

Eugen Bronasco, Adrien Laurent

While backward error analysis does not generalise straightforwardly to the strong and weak approximation of stochastic differential equations, it extends for the sampling of ergodi…