activity
20232026
most citedSplitting Methods for differential equations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

math.NA2026

On a class of modified Cayley--Magnus methods

Sergio Blanes, Fernando Casas, Arieh Iserles

We introduce a new class of numerical integrators for the time integration of non-autonomous linear ordinary differential equations whose coefficient matrix is sparse and evolves w…

math.NA2024

Splitting methods with complex coefficients for linear and nonlinear evolution equations

Sergio Blanes, Fernando Casas, Cesareo Gonzalez +1

This contribution is dedicated to the exploration of exponential operator splitting methods for the time integration of evolution equations. It entails the review of previous achie…

math.NA2024

Families of efficient low order processed composition methods

Sergio Blanes, Fernando Casas, Alejandro Escorihuela-Tomàs

New families of composition methods with processing of order 4 and 6 are presented and analyzed. They are specifically designed to be used for the numerical integration of differen…

astro-ph.SR2024

Reformulating polarized radiative transfer for astrophysical applications (I). A formalism allowing non-local Magnus solutions

E. S. Carlin, S. Blanes, F. Casas

The solar atmosphere is diagnosed by solving the polarized radiative transfer problem for plasmas in Non-Local Thermodynamic Equilibrium (NLTE). A key challenge in multidimensional…

math.NA2024

Symmetric-conjugate splitting methods for evolution equations of parabolic type

Sergio Blanes, Fernando Casas, Cesáreo González +1

The present work provides a comprehensive study of symmetric-conjugate operator splitting methods in the context of linear parabolic problems and demonstrates their additional bene…

math.NA20241 cited

Splitting Methods for differential equations

Sergio Blanes, Fernando Casas, Ander Murua

This overview is devoted to splitting methods, a class of numerical integrators intended for differential equations that can be subdivided into different problems easier to solve t…