
doi: 10.1002/nla.2383
AbstractThis article shows that the bidiagonal decomposition of many important matrices of q‐integers can be constructed to high relative accuracy (HRA). This fact can be used to compute with HRA the eigenvalues, singular values, and inverses of these matrices. These results can be applied to collocation matrices of q‐Laguerre polynomials, q‐Pascal matrices, and matrices formed by q‐Stirling numbers. Numerical examples illustrate the theoretical results.
Numerical computation of eigenvalues and eigenvectors of matrices, bidiagonal decomposition, quantum orthogonal polynomials, total positivity, Numerical linear algebra, \(q\)-integers, high relative accuracy, quantum calculus, 510, 620
Numerical computation of eigenvalues and eigenvectors of matrices, bidiagonal decomposition, quantum orthogonal polynomials, total positivity, Numerical linear algebra, \(q\)-integers, high relative accuracy, quantum calculus, 510, 620
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
