The study introduces robust implicit adaptive low-rank time-stepping methods for matrix differential equations. Inspired by the dynamic low-rank approximation (DLRA) technique, the schemes aim to address convergence issues in equations with cross terms. By merging row and column spaces, stability is proven, and local truncation errors are estimated. The proposed methods are benchmarked in various tests to demonstrate robust convergence properties.
To Another Language
from source content
arxiv.org
Deeper Inquiries