Results 31 to 40 of about 9,658 (265)

Arf numerical semigroups with high multiplicity via Gröbner basis

Applied Mathematics in Science and Engineering, 2023
In this paper, Arf numerical semigroups with high multiplicity are given. RF (Row Factorization)-matrices, Gröbner basis are presented by writing the ideals of numerical semigroup with RF-matrices.
Belgin Özer
doaj   +1 more source

Factorization of nonnegative matrices—II

Linear Algebra and its Applications, 1978
AbstractSuppose A is an n×n nonnegative matrix. Necessary and sufficient conditions are given for A to be factored as LU, where L is a lower triangular nonnegative matrix, and U is an upper triangular nonnegative matrix with uii = 1.
Lau, Cony M., Markham, Thomas L.
openaire   +2 more sources

Elementary triangular matrices and inverses of k-Hessenberg and triangular matrices

Special Matrices, 2015
We use elementary triangular matrices to obtain some factorization, multiplication, and inversion properties of triangular matrices. We also obtain explicit expressions for the inverses of strict k-Hessenberg matrices and banded matrices. Our results can
Verde-Star Luis
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Differential expansion for antiparallel triple pretzels: the way the factorization is deformed

European Physical Journal C: Particles and Fields, 2022
For a peculiar family of double braid knots there is a remarkable factorization formula for the coefficients of the differential (cyclotomic) expansion (DE), which nowadays is widely used to construct the exclusive Racah matrices S and $${\bar{S}}$$ S ...
A. Morozov, N. Tselousov
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Factorizations of matrices over semirings

Linear Algebra and its Applications, 2003
A semiring \(R\) with identity satisfies all ring axioms but one: an additive inverse of an element in \(R\) is not required. All matrices below have entries in \(R\). The semiring rank of a matrix \(A\) is the smallest \(r\) such that \(A=BC\), where \(B\) is an \(n\times r\) matrix and \(C\) is an \(r\times n\) matrix.
Hyuk Cho, Han, Kim, Suh-Ryung
openaire   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

ZjuMatrix: C++ vector and matrix class library for finite element method

SoftwareX
Finite element analysis is an indispensable and valuable tool widely used in the field of science and technology. It involves a multitude of matrix operations, storage of large banded matrices, and calculation of large-scale algebraic equations and ...
Shicheng Zheng, Rongqiao Xu
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Determinants of the RFMLR Circulant Matrices with Perrin, Padovan, Tribonacci, and the Generalized Lucas Numbers

Journal of Applied Mathematics, 2014
The row first-minus-last right (RFMLR) circulant matrix and row last-minus-first left (RLMFL) circulant matrices are two special pattern matrices. By using the inverse factorization of polynomial, we give the exact formulae of determinants of the two ...
Zhaolin Jiang, Nuo Shen, Juan Li
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Sociodemographic Factors Associated With Later Stage at Diagnosis of Pediatric Germ Cell Tumors: A Report From Children's Oncology Group Registries ACCRN07 and APEC14B1

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas, Judy Y. Ou, Todd Alonzo, Logan G. Spector, Negar Fallahazad, Emily Owens, Anne C. Kirchhoff, Adam L. Green   +7 more
wiley   +1 more source

A Method of Optimizing Weight Allocation in Data Integration Based on Q-Learning for Drug-Target Interaction Prediction

Frontiers in Cell and Developmental Biology, 2022
Calculating and predicting drug-target interactions (DTIs) is a crucial step in the field of novel drug discovery. Nowadays, many models have improved the prediction performance of DTIs by fusing heterogeneous information, such as drug chemical structure
Jiacheng Sun, Jiacheng Sun, Jiacheng Sun, You Lu, You Lu, You Lu, Linqian Cui, Linqian Cui, Linqian Cui, Qiming Fu, Qiming Fu, Qiming Fu, Hongjie Wu, Jianping Chen, Jianping Chen   +14 more
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