Results 91 to 100 of about 2,237,659 (305)

Numerical Matrix Decomposition [PDF]

open access: yes
In 1954, Alston S. Householder published \textit{Principles of Numerical Analysis}, one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition-the factorization of a matrix into the product of lower and upper ...
Lu, Jun
core   +1 more source

Matrix wavefront reduction by alternating directions of node renumbering

open access: yesComputer Assisted Methods in Engineering and Science, 2023
The paper presents a heuristic method of node renumbering for wavefront reduction of the coefficient matrix of a linear system of equilibrium equations obtained in Finite Element (FEM) or in Finite Difference (FDM) methods for regular rectangular ...
Zdzisław Kurowski
doaj  

Impact of the Process Atmosphere During Hot Isostatic Pressing on the Near‐Surface Composition of an Additively Manufactured Austenitic High‐Interstitial Steel

open access: yesAdvanced Engineering Materials, EarlyView.
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt   +4 more
wiley   +1 more source

Globalization, Economic Reform, and Structural Price Transmission: SAM Decomposition Techniques with an empirical application to Vietnam [PDF]

open access: yes
Globalization poses special challenges for economies in transition, particularly those which have been slow to reform systems of administered prices. Such allocation mechanisms now encounter significant friction from external market forces, and it is ...
Tarp, Finn, Roland-Holst, David
core  

Perturbation analysis for antitriangular Schur decomposition

open access: yes, 2012
Let Z be an n × n complex matrix. A decomposition Z = ŪMU H is called an antitriangular Schur decomposition of Z if U is an n × n unitary matrix and M is an n × n antitriangular matrix.
Ng, Michael K., Chen, Xiao Shan, Li, Wen
core   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

On the Iwasawa decomposition of a symplectic matrix

open access: yesApplied Mathematics Letters, 2007
Let \(Sp(n, \mathbb R)=\{S\in SL_{2n}(\mathbb R) : S^tJS=J\}\) be the Lie group of symplectic matrices. The authors present an algorithm for computing the Iwasawa decomposition of a matrix \( Sp(n, \mathbb R)\ni S=KAN\), where \(K\) is compact, \(A\) abelian, and \(N\) nilpotent matrices, via the QR fractorization.
Benzi, Michele, Razouk, Nader
openaire   +2 more sources

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

A transceiver design based on uniform channel decomposition and MBER vector perturbation [PDF]

open access: yes, 2010
Uniform channel decomposition (UCD), as an improvement of geometric mean decomposition (GMD), is capable of decomposing a multiple-input–multiple-output (MIMO) channel into multiple subchannels having an identical capacity.
Chen, Sheng   +5 more
core   +2 more sources

rTensor: An R Package for Multidimensional Array (Tensor) Unfolding, Multiplication, and Decomposition

open access: yesJournal of Statistical Software, 2018
rTensor is an R package designed to provide a common set of operations and decompositions for multidimensional arrays (tensors). We provide an S4 class that wraps around the base 'array' class and overloads familiar operations to users of 'array', and we
James Li, Jacob Bien, Martin T. Wells
doaj   +1 more source

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