Results 61 to 70 of about 2,237,660 (304)

Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition

IEEE Access, 2023
The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions. It is an approximation to the computationally prohibitive singular value decomposition (SVD). This work is concerned with a partial QLP decomposition of matrices
Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja   +4 more
doaj   +1 more source

High‐Temperature Phase Transformation in a V‐9Si‐6.5B Alloy: The Kinetic and Crystallographic Pathway From V5SiB2 to V8SiB4

Advanced Engineering Materials, EarlyView.
In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti, Andreas Stark, Roja Rani Korrayi, Florian Pyczak, Georg Hasemann   +4 more
wiley   +1 more source

Double Structured Nuclear Norm-Based Matrix Decomposition for Saliency Detection

IEEE Access, 2020
Saliency detection aims at identifying the most important and informative area in a scene. Recently low rank matrix recovery (LR) theory becomes an effective tool for saliency detection.
Junxia Li, Ziyang Wang, Zefeng Pan
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

A class of alternate strip-based domain decomposition methods for elliptic partial differential Equations [PDF]

, 2005
The domain decomposition strategies proposed in this thesis are efficient preconditioning techniques with good parallelism properties for the discrete systems which arise from the finite element approximation of symmetric elliptic boundary value problems
Mihai, Loredana Angela
core  

WSN key recovery attack based on symmetric matrix decomposition

Tongxin xuebao, 2018
The key protocol is one of the crucial technologies to ensure the security for wireless sensor network（WSN）.Parakh,et al.proposed a key agreement for WSN based on matrix decomposition.However,the study revealed that the protocol had security risks.A key ...
Xiangmin JI, Bo ZHAO, Jinhui LIU, Jianwei JIA, Huanguo ZHANG, Shuang XIANG   +5 more
doaj  

A Color Image Encryption Model Based on a System of Quaternion Matrix Equations

Mathematics
In the era of big data and multimedia communication, securing color images against unauthorized access and attacks is a pressing challenge. While quaternion-based models provide a unified representation for color images, most existing encryption schemes ...
Chen-Yang Qi, Chang Liu, Zhuo-Heng He, Shao-Wen Yu   +3 more
doaj   +1 more source

Fast matrix decomposition in F2

CoRR, 2012
20 pages, 4 figure, 6 tables, 1 ...
Bertolazzi, Enrico, Rimoldi, Anna
openaire   +3 more sources

Fast Polar Decomposition of an Arbitrary Matrix [PDF]

SIAM Journal on Scientific and Statistical Computing, 1990
The polar decomposition of an $m \times n$ matrix A of full rank, where $m \geqq n$, can be computed using a quadratically convergent algorithm of Higham [SIAM J. Sci. Statist. Comput., 7(1986), pp. 1160–1174]. The algorithm is based on a Newton iteration involving a matrix inverse.
Nicholas J. Higham, Robert S. Schreiber
openaire   +3 more sources

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

Advanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source