Results 111 to 120 of about 2,237,660 (304)

On the Schur Decomposition of a Matrix for Parallel Computation [PDF]

open access: yesIEEE Transactions on Computers, 1987
An algorithm to solve the eigenproblem for nonsymmetric matrices on an \(N\times N\) array of mesh-connected processors, isomorphic to the architecture described by \textit{R. Brent} and \textit{F. Luk} [SIAM J. Sci. Stat. Comput. 6, 69-84 (1985; Zbl 0575.65027)] for symmetric matrices, is presented.
openaire   +2 more sources

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]

open access: yes
Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter   +3 more
core  

Matrix Singular Value Decomposition [PDF]

open access: yes, 2010
This thesis starts with the fundamentals of matrix theory and ends with applications of the matrix singular value decomposition (SVD). The background matrix theory coverage includes unitary and Hermitian matrices, and matrix norms and how they relate to ...
Kwizera, Petero
core   +1 more source

Spatially Regulated Lithium Plating via Li2O‐Rich Interphase Enables Durable Fast‐Charging Hybrid Lithium Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A Li2O‐rich solid electrolyte interphase (SEI) is engineered on graphite through a propylene carbonate‐based electrolyte to spatially regulate Li plating. The homogeneous interphase lowers Li nucleation barriers, promotes conformal Li deposition around graphite particles, and suppresses dendritic accumulation, enabling durable hybrid Li‐ion/Li‐metal ...
Robert Kuphal   +8 more
wiley   +1 more source

On relationships between two linear subspaces and two orthogonal projectors

open access: yesSpecial Matrices, 2019
Sum and intersection of linear subspaces in a vector space over a field are fundamental operations in linear algebra. The purpose of this survey paper is to give a comprehensive approach to the sums and intersections of two linear subspaces and their ...
Tian Yongge
doaj   +1 more source

Balancing Hydrophobicity and Hydrophilicity: Dual Filler‐Engineered Proton Exchange Membranes for Durable, High‐Power Fuel Cells

open access: yesAdvanced Functional Materials, EarlyView.
Polarity‐matched Zr–MOFs program Nafion's nanoscale morphology during solution casting. Hydrophilic UiO‐66 preserves hydrated pathways, while hydrophobic UiO‐67 increases the proton hopping sites by densifying ionic clusters. Combining both fillers yields a membrane that delivers 176 mS cm−1 conductivity, reaches 1.46 W cm−2 under 200 kPa, and triples ...
Yonghwi Cho   +13 more
wiley   +1 more source

On the use of certain matrix algebras associated with discrete trigonometric transforms in matrix displacement decomposition

open access: yes, 1995
The authors extend some recent results of Di Fiore and Zellini [Linear Algebra Appl., to appear], obtaining new classes of formulas for the displacement operator-based decomposition of matrices. It is shown how an arbitrary matrix can be expressed as the
Bozzo, E, DI FIORE, CARMINE
core  

Decomposition of an updated correlation matrix via hyperbolic transformations [PDF]

open access: yes, 2002
summary:An algorithm for hyperbolic singular value decomposition of a given complex matrix based on hyperbolic Householder and Givens transformation matrices is described in detail.
Janovská, Drahoslava
core   +1 more source

SICGNN: structurally informed convolutional graph neural networks for protein classification

open access: yesMachine Learning: Science and Technology
Recently, graph neural networks (GNNs) have been widely used in various domains, including social networks, recommender systems, protein classification, molecular property prediction, and genetic networks.
YongHyun Lee   +3 more
doaj   +1 more source

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