Results 11 to 20 of about 442,498 (206)
Positive Integer Powers of Certain Tridiagonal Matrices and Corresponding Anti-Tridiagonal Matrices
In this paper, we firstly derive a general expression for the entries of the mth (m∈ℕ) power for two certain types of tridiagonal matrices of arbitrary order. Secondly, we present a method for computing the positive integer powers of the anti-tridiagonal
Mohammad Beiranvand +1 more
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Explicit Expression for Arbitrary Positive Powers of Special Tridiagonal Matrices
Tridiagonal matrices appear frequently in mathematical models. In this paper, we derive the positive integer powers of special tridiagonal matrices of arbitrary order.
Mohammad Beiranvand +1 more
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Determinants of tridiagonal matrices over some commutative finite chain rings
Diagonal matrices and their generalization in terms of tridiagonal matrices have been of interest due to their nice algebraic properties and wide applications.
Jitman Somphong, Sricharoen Yosita
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VanderLaan Circulant Type Matrices [PDF]
Circulant matrices have become a satisfactory tools in control methods for modern complex systems. In the paper, VanderLaan circulant type matrices are presented, which include VanderLaan circulant, left circulant, and g-circulant matrices.
Hongyan Pan, Zhaolin Jiang
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Block diagonalization of (p, q)-tridiagonal matrices
In this article, we study the block diagonalization of (p,q)\left(p,q)-tridiagonal matrices and derive closed-form expressions for the number and structure of diagonal blocks as functions of the parameters pp, qq, and nn. This reduction enables efficient
Manjunath Hariprasad
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On some conjectures regarding tridiagonal matrices [PDF]
We discuss several conjectures proposed recently by A.Z. Küçük and M. Düz on the permanent of certain type of tridiagonal matrices. We recall some less known results on tridiagonal matrices and, at the same time, bring other results together to a common ...
Carlos M. da Fonseca
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PARSEC.py: A Python-Based Real-Space Kohn-Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density. [PDF]
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zhang Z +4 more
europepmc +2 more sources
Spectral properties of certain tridiagonal matrices [PDF]
We study spectral properties of irreducible tridiagonal k-Toeplitz matrices and certain matrices which arise as perturbations of ...
J. Petronilho +5 more
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In this paper, our main attention is paid to calculate the determinants and inverses of two types Toeplitz and Hankel tridiagonal matrices with perturbed columns.
Fu Yaru +3 more
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Tridiagonalization of completely nonnegative matrices [PDF]
Let M = [ m
Rainey, J. W., Habetler, G. J.
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