Hessenberg and Tridiagonal Matrices: Theory and Examples

Hessenberg and Tridiagonal Matrices: Theory and Examples book cover

Hessenberg and Tridiagonal Matrices: Theory and Examples

Author(s): Gérard Meurant (Author)

  • Publisher finelybook 出版社: SIAM – Society for Industrial and Applied Mathematics
  • Publication Date 出版日期: June 13, 2025
  • Language 语言: English
  • Print length 页数: 243 pages
  • ISBN-10: 1611978440
  • ISBN-13: 9781611978445

Book Description

This is the only book devoted exclusively to Hessenberg and tridiagonal matrices. Hessenberg matrices are involved in Krylov methods for solving linear systems or computing eigenvalues and eigenvectors, in the QR algorithm for computing eigenvalues, and in many other areas of scientific computing (for instance, control theory). Matrices that are both upper and lower Hessenberg are tridiagonal. Their entries are zero except for the main diagonal and the subdiagonal and updiagonal next to it. Hessenberg and Tridiagonal Matrices: Theory and Examples presents known and new results; describes the theoretical properties of the matrices, their determinants, LU factorizations, inverses, and eigenvalues; illustrates the theoretical properties with applications and examples as well as numerical experiments; and considers unitary Hessenberg matrices, inverse eigenvalue problems, and Toeplitz tridiagonal matrices.

Editorial Reviews

About the Author

Gérard Meurant is retired from the French Atomic Energy Commission (CEA), where he worked in applied mathematics from 1970 to 2008. He was research director at the time of his retirement. He is the author of more than 60 papers on numerical linear algebra and seven books.

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