Separable Type Representations of Matrices and Fast Algorithms
Volume 2. Eigenvalue method
(Sprache: Englisch)
This book is the second in a two-volume work that examines several types of generalizations of separable matrices. It addresses the eigenvalue problem for matrices with quasiseparable structure and applications to the polynomial root finding problem.
Leider schon ausverkauft
versandkostenfrei
Buch (Gebunden)
101.64 €
Produktdetails
Produktinformationen zu „Separable Type Representations of Matrices and Fast Algorithms “
This book is the second in a two-volume work that examines several types of generalizations of separable matrices. It addresses the eigenvalue problem for matrices with quasiseparable structure and applications to the polynomial root finding problem.
Klappentext zu „Separable Type Representations of Matrices and Fast Algorithms “
This two-volume work presents a systematic theoretical and computational study of several types of generalizations of separable matrices. The main attention is paid to fast algorithms (many of linear complexity) for matrices in semiseparable, quasiseparable, band and companion form. The work is focused on algorithms of multiplication, inversion and description of eigenstructure and includes a large number of illustrative examples throughout the different chapters.
The second volume, consisting of four parts, addresses the eigenvalue problem for matrices with quasiseparable structure and applications to the polynomial root finding problem. In the first part the properties of the characteristic polynomials of principal leading submatrices, the structure of eigenspaces and the basic methods to compute eigenvalues are studied in detail for matrices with quasiseparable representation of the first order. The second part is devoted to the divide and conquer method, with the main algorithms being derived also for matrices with quasiseparable representation of order one. The QR iteration method for some classes of matrices with quasiseparable of any order representations is studied in the third part. This method is then used in the last part in order to get a fast solver for the polynomial root finding problem. The work is based mostly on results obtained by the authors and their coauthors. Due to its many significant applications and the accessible style the text will be useful to engineers, scientists, numerical analysts, computer scientists and mathematicians alike.
Inhaltsverzeichnis zu „Separable Type Representations of Matrices and Fast Algorithms “
Part 5. The eigenvalue structure of order one quasiseparable matrices.- 21. Quasiseparable of order one matrices. Characteristic polynomials.- 22. Eigenvalues with geometric multiplicity one.- 23. Kernels of quasiseparable of order one matrices.- 24. Multiple eigenvalues.- Part 6. Divide and conquer method for eigenproblems.- 25. Divide step.- 26. Conquer step and rational matrix functions eigenproblem.- 27. Complete algorithm for Hermitian matrices.- 28. Complete algorithm for unitary Hessenberg matrices.- Part 7. Algorithms for qr iterations and for reduction to Hessenberg form.- 29. The QR iteration method for eigenvalues.- 30. The reduction to Hessenberg form.- 31. The implicit QR iteration method for eigenvalues of upper Hessenberg matrices.- Part 8. QR iterations for companion matrices.- 32. Companion and unitary matrices.- 33. Explicit methods.- 34. Implicit methods with compression.- 35. The factorization based implicit method.- 36. Implicit algorithms based on the QR representation.- Bibliography.
Bibliographische Angaben
- Autoren: Yuli Eidelman , Israel Gohberg , Iulian Haimovici
- 2013, 2014., 359 Seiten, Maße: 23,5 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 3034806116
- ISBN-13: 9783034806114
Sprache:
Englisch
Kommentar zu "Separable Type Representations of Matrices and Fast Algorithms"
0 Gebrauchte Artikel zu „Separable Type Representations of Matrices and Fast Algorithms“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Separable Type Representations of Matrices and Fast Algorithms".
Kommentar verfassen