Results 71 to 80 of about 6,407,802 (243)

Updating the singular value decomposition [PDF]

open access: yes, 2004
The spectral decomposition of a symmetric matrix A with small off-diagonal and distinct diagonal elements can be approximated using a direct scheme of R. Davies and Modi (Linear Algebra Appl. 77 (1986) 61).
Philip I. Davies   +3 more
core   +1 more source

The Singular Value Decomposition Theorem

open access: yes, 2018
This essay will present a self-contained exposition of the singular value decomposition theorem for linear transformations. An immediate consequence is the singular value decomposition for complex matrices.Denna uppsats kommer presentera en självständig ...
Samuelsson, Saga
core   +2 more sources

Role of the Recombination Zone in Organic Light‐Emitting Devices

open access: yesAdvanced Materials, EarlyView.
This review summarizes the critical role of the recombination zone in organic light‐emitting diodes (OLEDs). We highlight that broadening the recombination zone in OLEDs based on emissive layers with balanced charge transport and high photoluminescence quantum yields provides a promising route toward achieving both long operational lifetime and high ...
Yungui Li, Karl Leo
wiley   +1 more source

Evidence conflict measurement method based on Pignistic probability transformation and singular value decomposition

open access: yesTongxin xuebao, 2021
In view of the problem of poor adaptability and low accuracy of common evidence conflict measurement method, an evidence conflict measurement method based on Pignistic probability transformation and singular value decomposition was proposed.First ...
Xinglin GUO   +4 more
doaj   +2 more sources

The Stability of Isometry by Singular Value Decomposition

open access: yesMathematics
Hyers and Ulam considered the problem of whether there is a true isometry that approximates the ε-isometry defined on a Hilbert space with a stability constant 10ε.
Soon-Mo Jung, Jaiok Roh
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

open access: yesAdvanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti   +11 more
wiley   +1 more source

Fractional Norm Regularization Using Truncated Singular Value Decomposition

open access: yesIEEE Access
In a previous work, a solution to the fractional norm regularization (FNR) was discovered in a closed form and an inverse perturbation was adopted as a tool to overcome the ill condition of a matrix whose inverse is required by the fixed-point FNR.
Bamrung Tausiesakul   +1 more
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Singular Value Decomposition

open access: yes, 2011
The singular value decomposition is a factorization of a matrix A into A=U.EV^TComponente Curricular::Educação Superior::Ciências Exatas e da Terra ...
Maes, Chris
core   +2 more sources

Home - About - Disclaimer - Privacy