Divide-and-conquer eigenvalue algorithm: Difference between revisions

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Variants and implementation: Noted that a link should be provided. This should be specifically for the advertised implementation of the “high-quality parallel” algorithm, not just the name of the overall package.
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There exist specialized root-finding techniques for rational functions that may do better than the Newton-Raphson method in terms of both performance and stability. These can be used to improve the iterative part of the divide-and-conquer algorithm.
 
The divide-and-conquer algorithm is readily [[Parallel algorithm|parallelized]], and [[linear algebra]] computing packages such as [[LAPACK]] contain high-quality parallel implementations.{{Citation needed|date=September 2023}}
 
==References==