Cover Image

On the error of the Euler scheme for approximation of solutions of nonlinear DDEs under inexact information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Przybyłowicz, Paweł, Wiącek, Martyna
Format:	Preprint
Published:	2026
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Foundations of Monte Carlo methods and stochastic simulations -- From Monte Carlo Lebesgue integration to weak approximation of SDEs
by: Przybyłowicz, Paweł
Published: (2022)

On the randomized Euler scheme for SDEs with integral-form drift
by: Przybyłowicz, Paweł, et al.
Published: (2024)

StPINNs - Deep learning framework for approximation of stochastic differential equations
by: Baranek, Marcin, et al.
Published: (2025)

Convergence and stability of randomized implicit two-stage Runge-Kutta schemes
by: Bochacik, Tomasz, et al.
Published: (2024)

A Randomized Runge-Kutta Method for time-irregular delay differential equations
by: Difonzo, Fabio V., et al.
Published: (2024)

Optimal error bounds for the two point flux approximation finite volume scheme
by: Eymard, Robert, et al.
Published: (2024)

Weak error on the densities for the Euler scheme of stable additive SDEs with H{ö}lder drift
by: Fitoussi, Mathis, et al.
Published: (2024)

Non-linear collision-induced breakage equation: approximate solution and error estimation
by: Bariwal, Sanjiv Kumar, et al.
Published: (2024)

An adaptive Euler-Maruyama scheme for SDDEs
by: Liu, Dongyang, et al.
Published: (2024)

An inexact Matrix-Newton method for solving NEPv
by: Werner, Tom
Published: (2023)

Neural networks for the approximation of Euler's elastica
by: Celledoni, Elena, et al.
Published: (2023)

Weak error analysis for strong approximation schemes of SDEs with super-linear coefficients II: finite moments and higher-order schemes
by: Zhao, Yuying, et al.
Published: (2024)

Exact and approximate error bounds for physics-informed neural networks
by: Chantada, Augusto T., et al.
Published: (2024)

Unconditional optimal-order error estimates of linear relaxation compact difference scheme for the coupled nonlinear Schrödinger system
by: Gao, Ying, et al.
Published: (2025)

High-order gas-kinetic scheme in curvilinear coordinates for the Euler and Navier-Stokes solutions
by: Pan, Liang, et al.
Published: (2019)

Some error estimates for semidiscrete finite element approximations of stable solutions to mean field game systems
by: Berry, Jules
Published: (2025)

A priori error estimates of Runge-Kutta discontinuous Galerkin schemes to smooth solutions of fractional conservation laws
by: Leotta, Fabio, et al.
Published: (2024)

Dimension reduction for derivative-informed operator learning: An analysis of approximation errors
by: Luo, Dingcheng, et al.
Published: (2025)

On blowup solution in NLS equation under dispersion or nonlinearity management
by: Li, Jing, et al.
Published: (2025)

Dynamic computerized tomography using inexact models and motion estimation
by: Sarnighausen, Gesa, et al.
Published: (2024)

New flexible and inexact Golub-Kahan algorithms for inverse problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

Learning-based approaches for reconstructions with inexact operators in nanoCT applications
by: Lütjen, Tom, et al.
Published: (2023)

Convergence of a double step scheme for a class of second order Clarke subdifferential inclusions
by: Bartosz, Krzysztof, et al.
Published: (2023)

An asymptotic preserving scheme satisfying entropy stability for the barotropic Euler system
by: Anandan, Megala, et al.
Published: (2025)

Asymptotic-preserving IMEX schemes for the Euler equations of non-ideal gases
by: Orlando, Giuseppe, et al.
Published: (2024)

Damped energy-norm a posteriori error estimates for fully discrete approximations of the wave equation using C2-reconstructions with the leapfrog scheme
by: Chaumont-Frelet, T., et al.
Published: (2024)

An extended Milstein scheme for effective weak approximation of diffusions
by: Iguchi, Yuga, et al.
Published: (2024)

Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach
by: Koval, Karina, et al.
Published: (2024)

Convergence of double step scheme for a class of parabolic Clarke subdifferential inclusions
by: Bartosz, Krzysztof, et al.
Published: (2023)

On semi-implicit schemes for the incompressible Euler equations via the vanishing viscosity limit
by: Cheng, Xinyu, et al.
Published: (2024)

Numerical analysis of a semi-implicit Euler scheme for the Keller-Segel model
by: Huang, Xueling, et al.
Published: (2025)

Convergence of a Hyperbolic Thermodynamically Compatible Finite Volume scheme for the Euler equations
by: Dumbser, Michael, et al.
Published: (2024)

Estimation of sparse polynomial approximation error to continuous function
by: Feng, Renzhong, et al.
Published: (2025)

On the convergence of the Euler-Maruyama scheme for McKean-Vlasov SDEs
by: Frikha, Noufel, et al.
Published: (2025)

Simpson's quadrature for a nonlinear variational symplectic scheme
by: Dubois, François, et al.
Published: (2024)

Multistage DPG time-marching scheme for nonlinear problems
by: Muñoz-Matute, Judit, et al.
Published: (2023)

Physics-informed neural networks (PINNs) for numerical model error approximation and superresolution
by: Zhuang, Bozhou, et al.
Published: (2024)

Numerical scheme for the solution of the "bad" Boussinesq equation
by: Charlier, Christophe, et al.
Published: (2024)

A remark on an error analysis for classical and learned Tikhonov regularization schemes
by: Behrens, Arne, et al.
Published: (2026)

Approximate construction of rational approximations and the effect of error autocorrection. Applications
by: Litvinov, Grigori
Published: (2001)