Results 81 to 90 of about 143,398 (311)

Pauli decomposition via the fast Walsh-Hadamard transform

New Journal of Physics
The decomposition of a square matrix into a sum of Pauli strings is a classical pre-processing step required to realize many quantum algorithms. Such a decomposition requires significant computational resources for large matrices. We present an exact and
Timothy N Georges, Bjorn K Berntson, Christoph Sünderhauf, Aleksei V Ivanov   +3 more
doaj   +1 more source

A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data

, 2022
Lawrence K. Saul
openalex   +1 more source

Advanced Flame Retardant Strategies and Fire Performance Assessment for Safer Photovoltaics in Buildings: A Two‐Part Review

Advanced Functional Materials, EarlyView.
The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon, Olaia Aurrekoetxea‐Arratibel, Emma Gottis, Heng‐Yu Li, Xabier Olano‐Azkune, Matthieu Despeisse, Antonin Faes, Christophe Ballif   +7 more
wiley   +1 more source

Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information

IEEE Access
Early detection of cutaneous melanoma is crucial for improving patient survival rates. Skin lesion segmentation is a critical step towards computer-aided diagnosis that is effective in melanoma detection. This work proposes a novel patch-based model that
Eliezer Soares Flores, Jacob Scharcanski
doaj   +1 more source

Matrix Decomposition and Applications

, 2022
In 1954, Alston S. Householder published 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 triangular matrices.
openaire   +2 more sources

High‐Concentration Mesogen‐Assisted Exfoliation of Low‐Dimensional Nanomaterials for Achieving Ultralow‐Temperature Actuations of Liquid Crystal Elastomers

Advanced Functional Materials, EarlyView.
Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim, Yeon Gyeong Ha, Dong‐Gue Kang, Chinedum O. Osuji, Dae Seok Kim, Changyeon Lee   +5 more
wiley   +1 more source

DENTA: A Dual Enzymatic Nanoagent for Self‐Activating Tooth Whitening and Biofilm Disruption

Advanced Functional Materials, EarlyView.
The nanoapatite with dual enzymes (DENTA) accumulates in dentinal tubules, reducing hypersensitivity caused by dental nerve exposure and facilitating continuous ROS generation through salivary glucose for effective, long‐term whitening. The dentin structures remain non‐destructive due to the low concentration of ROS, demonstrating excellent cell ...
Junseok Kim, Dai‐Hwan Kim, Priyannth R. Sundharbaabu, Chae Yeon Lee, Jina Bae, Jiyu Hyun, Young‐Ju Jang, Haeni Kim, Min‐Ho Hong, Juewen Liu, Tobias Fey, Suk Ho Bhang, Jun Hyuk Heo, Jung Heon Lee   +13 more
wiley   +1 more source

Highly efficient parallel direct solver for solving dense complex matrix equations from method of moments

The Journal of Engineering, 2017
Based on the vectorised and cache optimised kernel, a parallel lower upper decomposition with a novel communication avoiding pivoting scheme is developed to solve dense complex matrix equations generated by the method of moments.
Yan Chen, Zhongchao Lin, Yu Zhang, Daniel García Doñoro, Daniel García Doñoro   +4 more
doaj   +1 more source

A Study on Matrix Decomposition to Improve CTR Prediction Performance

, 2023
Tae-Suk Kim
openalex   +1 more source

Matrične faktorizacije

Zbornik radova, 2018
Matrice se dijele u različite klase, ovisno o formi i određenim svojstvima. Matrične faktorizacije ovise o svojstvima određene klase matrica pa su faktorizacije matrica od velikog značaja u teoriji matrica, pri analizi numeričkih algoritama i uopće u numeričkoj linearnoj algebri. Faktorizacija matrice A je prikaz matrice A kao produkta "jednostavnijih"
Ines Radošević Medvidović, Kristina Pedić   +1 more
openaire   +4 more sources