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  4. 2024
  1. Home
  2. Topics
  3. Tridiagonal matrix algorithm
  4. 2024
Showing papers on "Tridiagonal matrix algorithm published in 2024"
Journal Article•10.1016/j.laa.2024.11.026•
Tridiagonal M-matrices whose group inverses are tridiagonal

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A.M. Encinas, K. Kranthi Priya, K. C. ‎Sivakumar
01 Nov 2024-Linear Algebra and its Applications
Journal Article•10.9734/jamcs/2024/v39i121951•
Computational Aspects of Determinant and Inverse of Tridiagonal Toeplitz Matrix

[...]

Yohanes Mario Defianus Beti, Sugi Guritman, Jaharuddin Jaharuddin
03 Dec 2024-Journal of advances in mathematics and computer science
TL;DR: This study presents a recursive and explicit method to calculate the determinant and inverse of tridiagonal Toeplitz matrices, using the adjoint method and recursive determinant calculation, resulting in efficient and simplified computations.
Abstract: In this article, the determinant of tridiagonal Toeplitz matrices is determined recursively and explicitly. The method used is descriptive exploratory the journal written by Fitri Aryani. The inverse of tridiagonal Toeplitz matrices is calculated using the adjoint method, but the determinant and adjoint of the matrices are based on the recursive calculation of the determinant. With this approach, the formulas for the determinant and inverse of tridiagonal Toeplitz matrices can be formulated clearly and efficiently. This study demonstrates the effectiveness of the method used in simplifying computations and provides an algorithm for the formulation.
Repository•10.60692/3d5d4-0d196•
Determinants of tridiagonal matrices over some commutative finite chain rings

[...]

Somphong Jitman, Yosita Sricharoen
10 Jul 2024
Abstract: Abstract Diagonal matrices and their generalization in terms of tridiagonal matrices have been of interest due to their nice algebraic properties and wide applications. In this article, the determinants of tridiagonal matrices over a finite field F q {{\mathbb{F}}}_{q} and a commutative finite chain ring R R are studied. The main focus is the enumeration of tridiagonal matrices with prescribed determinant. The number of tridiagonal matrices with prescribed determinant over F q {{\mathbb{F}}}_{q} and the number of non-singular tridiagonal matrices with prescribed determinant over R R are completely determined. For singular tridiagonal matrices with prescribed determinant over R R , bounds on the number of such matrices with prescribed determinant are given. Subsequently, the number of some special tridiagonal matrices with prescribed determinant over F q {{\mathbb{F}}}_{q} and R R is presented.
Journal Article•10.1007/s11075-024-01978-7•
An incomplete tridiagonalization-based determinant evaluation for a generalized periodic tridiagonal matrix

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Xing Fan, Ji-Teng Jia
12 Nov 2024-Numerical Algorithms
Repository•10.60692/xzwj0-2my55•
Determinants of tridiagonal matrices over some commutative finite chain rings

[...]

Somphong Jitman, Yosita Sricharoen
10 Jul 2024
Abstract: Abstract Diagonal matrices and their generalization in terms of tridiagonal matrices have been of interest due to their nice algebraic properties and wide applications. In this article, the determinants of tridiagonal matrices over a finite field F q {{\mathbb{F}}}_{q} and a commutative finite chain ring R R are studied. The main focus is the enumeration of tridiagonal matrices with prescribed determinant. The number of tridiagonal matrices with prescribed determinant over F q {{\mathbb{F}}}_{q} and the number of non-singular tridiagonal matrices with prescribed determinant over R R are completely determined. For singular tridiagonal matrices with prescribed determinant over R R , bounds on the number of such matrices with prescribed determinant are given. Subsequently, the number of some special tridiagonal matrices with prescribed determinant over F q {{\mathbb{F}}}_{q} and R R is presented.
Journal Article•10.1016/j.laa.2024.06.018•
Tridiagonal and single-pair matrices and the inverse sum of two single-pair matrices

[...]

Sébastien Bossu
01 Jun 2024-Linear Algebra and its Applications
TL;DR: Tridiagonal and single-pair matrices inversion formulas are derived based on a novel factorization for the sum of two single-pair matrices.
Abstract: A novel factorization for the sum of two single-pair matrices is established as product of lower-triangular, tridiagonal, and upper-triangular matrices, leading to semi-closed-form formulas for tridiagonal matrix inversion. Subsequent factorizations are established, leading to semi-closed-form formulas for the inverse sum of two single-pair matrices. An application to derive the symbolic inverse of a particular Gram matrix is presented, and the numerical stability of the formulas is studied.
Journal Article•10.1007/s10910-024-01631-7•
An efficient numerical algorithm for solving linear systems with cyclic tridiagonal coefficient matrices

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Jinping Jia, Furong Wang, Rong Xie, Yifan Wang
08 Jun 2024-Journal of Mathematical Chemistry

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