THE LU FACTORIZATIONS AND DETERMINANTS OF THE K-TRIDIAGONAL MATRICES
From MaRDI portal
Publication:3084676
DOI10.1142/S1793557111000162zbMath1234.15004WikidataQ114071691 ScholiaQ114071691MaRDI QIDQ3084676
Publication date: 25 March 2011
Published in: Asian-European Journal of Mathematics (Search for Journal in Brave)
Computational methods for sparse matrices (65F50) Factorization of matrices (15A23) Determinants, permanents, traces, other special matrix functions (15A15) Eigenvalues, singular values, and eigenvectors (15A18) Numerical computation of determinants (65F40) Direct numerical methods for linear systems and matrix inversion (65F05) Toeplitz, Cauchy, and related matrices (15B05)
Related Items
Analytic determinants and inverses of Toeplitz and Hankel tridiagonal matrices with perturbed columns ⋮ A block diagonalization based algorithm for the determinants of block \(k\)-tridiagonal matrices ⋮ A note on a fast breakdown-free algorithm for computing the determinants and the permanents of \(k\)-tridiagonal matrices ⋮ Fast block diagonalization of \(k\)-tridiagonal matrices ⋮ Some comments on \(k\)-tridiagonal matrices: determinant, spectra, and inversion ⋮ An analytical approach: explicit inverses of periodic tridiagonal matrices ⋮ Symbolic algorithms for the inverses of general \(k\)-tridiagonal matrices ⋮ INVERSES AND EIGENPAIRS OF TRIDIAGONAL TOEPLITZ MATRIX WITH OPPOSITE-BORDERED ROWS ⋮ A new recursive algorithm for inverting general \(k\)-tridiagonal matrices ⋮ A novel algorithm for inverting a general \(k\)-tridiagonal matrix
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A new family of \(k\)-Fibonacci numbers
- A note on a three-term recurrence for a tridiagonal matrix.
- On a constant-diagonals matrix
- On computing the determinants and inverses of some special type of tridiagonal and constant-diagonals matrices
- Advanced determinant calculus: a complement
- A Review on the Inverse of Symmetric Tridiagonal and Block Tridiagonal Matrices
- Properties of Some Tridiagonal Matrices and Their Application to Boundary Value Problems