Matrix Theory and Algorithms
This cluster of papers focuses on matrix algorithms, iterative methods, and numerical techniques for solving eigenvalue problems, preconditioning sparse linear systems, and addressing saddle point problems. It covers topics such as Krylov subspace methods, structured preconditioners, parallel computing, and numerical linear algebra.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.