Results 81 to 90 of about 1,081,230 (234)
Fourth Toeplitz Determinants for Starlike Functions Defined by Using the Sine Function
Journal of Function Spaces, 2021 In this article, we aim to study the upper bounds of the fourth Toeplitz determinant T42 for the function class Ss∗, which are connected with the sine function.
Hai-Yan Zhang, Huo Tang
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Group Differences of Multiregion Glutamate Concentration in Clinical High Risk and Schizophrenia
European Journal of Neuroscience, Volume 64, Issue 1, July 2026.We investigated group effects of glutamate concentrations in 99 participants in four brain regions using proton magnetic resonance spectroscopy in clinical high risk, schizophrenia spectrum psychotic disorder individuals and healthy controls. Results showed no significant group differences, exploratory analyses showed significant positive symptom ...
Shue Kit Man +7 more
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Asymptotic Behaviors of Modified Block Toeplitz Determinant [PDF]
Progress of Theoretical Physics, 1990 Some formulas are given for the asymptotic form of NXN modified block Toeplitz determinants for large N. These formulas are useful in obtaining the asymptotic behaviors of the correlation function of two spins of the Ising model on a two-dimensional regular lattice when the two spins are not on an axis.
Tanaka, Kazuyuki, Morita, Tohru
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ON THE INVERSE OF PATTERN MATRICES WITH APPLICATION TO STATISICAL MODELS
Tikrit Journal of Pure Science, 2018 In this study the inverse of two patterned matrices has been investigated. First, for a Toeplitz-type matrix, it is proved that the exact number of independent cofactors is (n +2)/4 when n is even number and when n is an odd. Second, when the matrix is
Hiba Hani Abdullah
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Advanced Functional Materials, Volume 36, Issue 52, 29 June 2026.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
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Lattice Theory and Toeplitz Determinants [PDF]
, 2016 This is a survey of our recent joint investigations of lattices that are generated by finite Abelian groups. In the case of cyclic groups, the volume of a fundamental domain of such a lattice is a perturbed Toeplitz determinant with a simple Fisher ...
Garcia, Stephan Ramon +3 more
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A Riemann-Hilbert Approach to Asymptotic Analysis of Toeplitz+Hankel Determinants [PDF]
, 2020 In this paper we will formulate 4×4 Riemann-Hilbert problems for Toeplitz+Hankel determinants and the associated system of orthogonal polynomials, when the Hankel symbol is supported on the unit circle and also when it is supported on an interval [a,b ...
Its, Alexander, Gharakhloo, Roozbeh
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Milk Yield and Composition Curves During the Postweaning Machine‐Milking Period in Red Deer Hinds
New Zealand Journal of Agricultural Research, Volume 69, Issue 3, June 2026.Deer milk is a dairy product valued for its unique composition and market potential. Research into deer lactation dynamics remains limited. In this study, 4,386 test‐day records from 170 red deer (Cervus elaphus L.) hinds in New Zealand were used to model the milk yield and composition curves using random regression models based on Legendre polynomials.
Qinyi Luo +7 more
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Recursive Forms For Determinant Of K-Tridiagonal Toeplitz Matrices [PDF]
, 2023 Toeplitz matrices have garnered renewed interest in recent years due to their practical applications in engineering and computational sciences. Additionally, research has shown their connection to other matrices and their significance in matrix theory ...
Agyei-Kodie, Eugene
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Mixture‐Based Estimation of Multivariate Data Hypervolume
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.ABSTRACT Estimating the hypervolume occupied by multivariate data is a fundamental problem in statistics and data science, with applications ranging from ecology and machine learning to multi‐objective optimization and Bayesian inference. Traditional approaches rely on geometric approximations, kernel density estimation, or convex‐hull constructions ...
Luca Scrucca
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