NANACPMay 5, 2012

Stability of ADI schemes for multidimensional diffusion equations with mixed derivative terms

arXiv:1205.116340 citationsh-index: 19
Originality Synthesis-oriented
AI Analysis

Provides rigorous stability conditions for numerical schemes used in solving diffusion equations with mixed derivatives, benefiting computational scientists working on such problems.

The paper analyzes unconditional stability of four ADI schemes for multidimensional diffusion equations with mixed derivative terms, deriving necessary and sufficient conditions on the parameter theta that generalize prior results.

In this paper the unconditional stability of four well-known ADI schemes is analyzed in the application to time-dependent multidimensional diffusion equations with mixed derivative terms. Necessary and sufficient conditions on the parameter theta of each scheme are obtained that take into account the actual size of the mixed derivative coefficients. Our results generalize results obtained previously by Craig & Sneyd (1988) and In 't Hout & Welfert (2009). Numerical experiments are presented illustrating our main theorems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes