Results 81 to 90 of about 834,250 (307)
On a matrix decomposition of Hartwig and Spindelböck
AbstractThe main task of the paper is to demonstrate that Corollary 6 in [R.E. Hartwig, K. Spindelböck, Matrices for which A∗ and A† commute, Linear and Multilinear Algebra 14 (1984) 241–256] provides a powerful tool to investigate square matrices with complex entries.
Oskar Maria Baksalary+2 more
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Randomized Matrix Decompositions Using R [PDF]
Matrix decompositions are fundamental tools in the area of applied mathematics, statistical computing, and machine learning. In particular, low-rank matrix decompositions are vital, and widely used for data analysis, dimensionality reduction, and data compression.
N. Benjamin Erichson+3 more
openaire +5 more sources
This study designs Ta–Mo–Cr–Ti–Al refractory high‐entropy alloys with a disordered body‐centered‐cubic A2 crystal structure aiming for improved ductility, lower density, and oxidation resistance. Four alloy compositions are identified by thermodynamic calculations.
Kateryna Khanchych+7 more
wiley +1 more source
Ca2.5Ag0.3Sm0.2Co4O9 semiconductor materials are synthesized and produced in this study using the sol–gel and cold pressing techniques for thermoelectric generator applications. As template samples are added, the Seebeck coefficient and power factor values rise, peaking at 800 °C for Ca2.5Ag0.3Sm0.2Co4O9 at 274.47 μV K−1 and 0.58 mW mK−2, respectively.
Enes Kilinc+4 more
wiley +1 more source
Mean-field density matrix decompositions [PDF]
We introduce new and robust decompositions of mean-field Hartree–Fock and Kohn–Sham density functional theory relying on the use of localized molecular orbitals and physically sound charge population protocols. The new lossless property decompositions, which allow for partitioning one-electron reduced density matrices into either bond-wise or atomic ...
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The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
Double Structured Nuclear Norm-Based Matrix Decomposition for Saliency Detection
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
Key Trends and Insights in Smart Polymeric Skin Wearable Patches
Intelligent polymers, which respond to various physical and biological stimuli, are explored for the development of skin wearable patches in biomedical applications. Smart polymers, also known as intelligent or stimuli‐responsive polymers, play a crucial role in the development of advanced wearable patches due to their versatility and softness.
Sergio J. Peñas‐Núñez+2 more
wiley +1 more source
Sparse Matrix Decompositions For Clustering
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
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Nodal Decompositions of a Symmetric Matrix
Abstract Analyzing nodal domains is a way to discern the structure of eigenvectors of operators on a graph. We give a new definition extending the concept of nodal domains to arbitrary signed graphs, and therefore to arbitrary symmetric matrices.
McKenzie, Theo, Urschel, John
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