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We analyse errors of randomized explicit and implicit Euler schemes for approximate solving of ordinary differential equations (ODEs). We consider classes of ODEs for which the right-hand side functions satisfy Lipschitz condition globally…

Numerical Analysis · Mathematics 2021-05-03 Tomasz Bochacik , Paweł Przybyłowicz

We deal with approximation of solutions of delay differential equations (DDEs) via the classical Euler algorithm. We investigate the pointwise error of the Euler scheme under nonstandard assumptions imposed on the right-hand side function…

Numerical Analysis · Mathematics 2023-12-13 Natalia Czyżewska , Paweł M. Morkisz , Paweł Przybyłowicz

We analyze the behavior of the Euler method for delay differential equations under nonstandard assumptions on the right-hand-side function f, when evaluations of f are corrupted by informational noise. We provide theoretical upper bounds on…

Numerical Analysis · Mathematics 2026-04-02 Paweł Przybyłowicz , Martyna Wiącek

In this paper we address the existence, uniqueness and approximation of solutions of delay differential equations (DDEs) with Carath\'eodory type right-hand side functions. We provide construction of randomized Euler scheme for DDEs and…

Numerical Analysis · Mathematics 2023-06-22 Fabio V. Difonzo , Paweł Przybyłowicz , Yue Wu

We propose and analyze a variation of the Euler scheme for state constrained ordinary differential inclusions under weak assumptions on the right-hand side and the state constraints. Convergence results are given for the space-continuous…

Numerical Analysis · Mathematics 2015-06-08 Janosch Rieger

In a previous paper it was shown that the Forward Euler method applied to differential inclusions where the right-hand side is a Lipschitz continuous set-valued function with uniformly bounded, compact values, converges with rate one. The…

Numerical Analysis · Mathematics 2009-02-02 Mattias Sandberg

On the one hand, the explicit Euler scheme fails to converge strongly to the exact solution of a stochastic differential equation (SDE) with a superlinearly growing and globally one-sided Lipschitz continuous drift coefficient. On the other…

Numerical Analysis · Mathematics 2012-09-13 Martin Hutzenthaler , Arnulf Jentzen , Peter E. Kloeden

We consider the long-time behavior of an explicit tamed Euler scheme applied to a class of stochastic differential equations driven by additive noise, under a one-sided Lipschitz continuity condition. The setting encompasses drift…

Numerical Analysis · Mathematics 2020-10-02 Charles-Edouard Bréhier

We consider the long-time behavior of an explicit tamed exponential Euler scheme applied to a class of parabolic semilinear stochastic partial differential equations driven by additive noise, under a one-sided Lipschitz continuity…

Numerical Analysis · Mathematics 2020-10-02 Charles-Edouard Bréhier

In this paper we introduce a randomized version of the backward Euler method, that is applicable to stiff ordinary differential equations and nonlinear evolution equations with time-irregular coefficients. In the finite-dimensional case, we…

Numerical Analysis · Mathematics 2022-05-10 Monika Eisenmann , Mihály Kovács , Raphael Kruse , Stig Larsson

This paper focuses on analyzing the error of the randomized Euler algorithm when only noisy information about the coefficients of the underlying stochastic differential equation (SDE) and the driving Wiener process is available. Two classes…

Numerical Analysis · Mathematics 2023-07-11 Marcin Baranek , Andrzej Kałuża , Paweł M. Morkisz , Paweł Przybyłowicz , Michał Sobieraj

This paper concerns the study of the generalized Bolza problem governed by differential inclusions satisfying the so-called "relaxed one-sided Lipschitzian" (ROSL) condition with respect to the state variables subject to various types of…

Optimization and Control · Mathematics 2015-06-02 B. S. Mordukhovich , Yuan Tian

We consider upper bounds for the approximation error E|g(X)-g(\hat X)|^p, where X and \hat X are random variables such that \hat X is an approximation of X in the L_p-norm, and the function g belongs to certain function classes, which…

Probability · Mathematics 2007-12-24 Rainer Avikainen

In this paper, we revisit the backward Euler method for numerical approximations of random periodic solutions of semilinear SDEs with additive noise. Improved $L^{p}$-estimates of the random periodic solutions of the considered SDEs are…

Probability · Mathematics 2023-12-12 Yujia Guo , Xiaojie Wang , Yue Wu

We present an original study on the numerical stabiliy of explicit schemes solving the incompressible Euler equations on an open domain with slipping boundary conditions. Relying on the skewness property of the non-linear term, we…

Numerical Analysis · Mathematics 2007-12-17 Erwan Deriaz

We deal with optimal approximation of solutions of ODEs under local Lipschitz condition and inexact discrete information about the right-hand side functions. We show that the randomized two-stage Runge-Kutta scheme is the optimal method…

Numerical Analysis · Mathematics 2021-03-23 Tomasz Bochacik , Maciej Goćwin , Paweł M. Morkisz , Paweł Przybyłowicz

A procedure is suggested for testing the resolution and comparing the relative accuracy of numerical schemes for integration of the incompressible Euler equations.

Chaotic Dynamics · Physics 2010-02-17 C. R. Doering , J. D. Gibbon , D. D. Holm

We give an example, which demonstrates that in the situation of the Picard-Lindel\"of theorem, the Lipschitz condition on the right hand side $f(x,y)$ with respect to $y$, cannot be replaced by Lipschitz continuity in $y$ for every $x$. We…

Classical Analysis and ODEs · Mathematics 2021-11-09 Georgios Passias , Sven-Ake Wegner

For initial value problems associated with operator-valued Riccati differential equations posed in the space of Hilbert--Schmidt operators existence of solutions is studied. An existence result known for algebraic Riccati equations is…

Analysis of PDEs · Mathematics 2018-08-06 Monika Eisenmann , Etienne Emmrich , Volker Mehrmann

Optimal prediction (OP) methods compensate for a lack of resolution in the numerical solution of complex problems through the use of an invariant measure as a prior measure in the Bayesian sense. In first-order OP, unresolved information is…

Numerical Analysis · Mathematics 2025-10-20 John Bell , Alexandre J. Chorin , William Crutchfield
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