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Matrix Computations and Semiseparable Matrices: Linear Systems
About this Episode
Explores the theory and application of structured rank matrices, with a particular focus on semiseparable and quasiseparable matrices. It details definitions and properties of various matrix classes, including their relationships, representations (such as Givens-vector and generator), and closure properties under operations like inversion. The source also examines numerical algorithms for these matrices, such as Gaussian elimination, QR-factorization, and Levinson-like solvers, alongside their applications in fields like statistics and integral equations, and discusses methods for computing eigenvalues and inverting structured rank matrices. Finally, it touches upon hierarchical matrices and provides a bibliography for further research and the SSPack software package.
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Produced by Podcai Studio:
https://www.podcaistudio.com/
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/book_shelter
Get the Book now from Amazon:
https://www.amazon.com/Matrix-Computations-Semiseparable-Matrices-Systems/dp/0801887143?&linkCode=ll2&tag=cvthunderx-20&linkId=b7106262742d81f11027873c51492ccd&language=en_US&ref_=as_li_ss_tl
Produced by Podcai Studio:
https://www.podcaistudio.com/
Hosts & Guests
No transcript available for this episode.
