A method for measuring the second critical voltage is described and discussed and the importance of diagonalizing complex matrices near this degeneracy is emphasized. The previously reported approximate equivalence of small voltage and thickness changes to zone axis patterns (Tatlock and Steeds 1973) is...
A relationship network in Computer Science refers to a structured model that depicts connections and interactions between various entities, such as terrorist organizations and incidents. AI generated definition based on: Intelligent Systems for Security Informatics, 2013 ...
On the relationship between the QD- and Cholesky-factorizations of tridiagonal matrices. 来自 zentralblatt-math.org 喜欢 0 阅读量: 13 作者: Bocşan, G 摘要: Summary: The main result of this note is contained in Section 3, where the relationship between the QD-factorization of a matrix A ...
If the proposed coherence relationship (i.e., Equation (20)) is valid, the mutual coherence between the measurement modes would decrease with the increasing of the distance between the spatial modulation frequencies applied to the source. Therefore, we observe and compare the amplitudes of the ...
applied sciences Article On the Coherence Relationship between Measurement Matrices and Equivalent Radiation Sources in Microwave Computational Imaging Applications Jian Guan and Weidong Chen * Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Chinese Academy ...
1b–d and Supplementary Fig. 7c–e). These results demonstrate how global chromosome conformation inside nuclei might differ between cells from different plant tissues. Fig. 1: Hi-C interaction matrices generated from four tissues of C. annuum. a Genome-wide normalized and corrected Hi-C maps...
The critical step in SVD analysis is to decompose the covariance matrix C of two space-time variable matrices into the so-called left L (M times and NL grid points) and right R (M times and NR grid points) arrays of singular vectors Lk and Rk, 𝐋= ⎜⎜⎜⎜⎜⎜...
Bidirectional seamlessly switching between spatial and temporal dimension in visualization; Sharing knowledge possibilities in terms of data validation and expertise updates; Integration of data from various sources. From the aspect of functionalities the goals to be achieved are: ...