Matrices whose inverses are tridiagonal, band or block-tridiagonal and their relationship with the covariance matrices of a random Markov process
DOI10.2298/FIL1905335BzbMath1499.15102MaRDI QIDQ5080755
Publication date: 31 May 2022
Published in: Filomat (Search for Journal in Brave)
tridiagonal matricesbanded matricesblock-tridiagonal matricesbest linear unbiased estimates (BLUE)multiply connected (\(m\)-connected) Markov processrandom field filtering and parametric identificationsimple (ordinary connected) Markov processvector (\(m\)-dimensional) Markov process
Theory of matrix inversion and generalized inverses (15A09) Toeplitz, Cauchy, and related matrices (15B05) Applications of continuous-time Markov processes on discrete state spaces (60J28)
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Cites Work
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- A theorem on inverses of tridiagonal matrices
- Computational methods of linear algebra
- Some features of generalized least squares method for identification of Markov stochastic processes
- Estimation of parameters in a linear model
- A Review on the Inverse of Symmetric Tridiagonal and Block Tridiagonal Matrices
- Matrices with banded inverses: inversion algorithms and factorization of Gauss-Markov processes
- Block matrices with L-block-banded inverse: inversion algorithms
- The numerical solution of Laplace’s and Poisson’s equations
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