NANAFeb 6, 2018

A Posteriori Error Estimates for Non-Stationary Non-Linear Convection-Diffusion Equations

arXiv:1802.02453h-index: 1
Originality Synthesis-oriented
AI Analysis

It provides error estimation for a class of PDEs that do not fit standard frameworks, benefiting researchers in numerical analysis and stochastic PDEs.

The paper derives a posteriori error estimates for non-stationary non-linear convection-diffusion equations, addressing a deterministic paradigm for stochastic problems. The estimates account for the interplay of parameters controlling diffusion, convection, reaction, and non-linearity.

Motivated by stochastic convection-diffusion problems we derive a posteriori error estimates for non-stationary non-linear convection-diffusion equations acting as a deterministic paradigm. The problem considered here neither fits into the standard linear framework due to its non-linearity nor into the standard non-linear framework due to the lacking differentiability of the non-linearity. Particular attention is paid to the interplay of the various parameters controlling the relative sizes of diffusion, convection, reaction, and non-linearity (noise).

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