Results 11 to 20 of about 287,902 (268)
On D-stability and structured singular values [PDF]
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Chen, Jie +2 more
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Transnational relationships are defined as those between actors located in different national spaces, that is, relationships that are built beyond borders.
Emily Schuler +2 more
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Very Large-Scale Singular Value Decomposition Using Tensor Train Networks [PDF]
We propose new algorithms for singular value decomposition (SVD) of very large-scale matrices based on a low-rank tensor approximation technique called the tensor train (TT) format. The proposed algorithms can compute several dominant singular values and
Cichocki, Andrzej, Lee, Namgil
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Macroscopic fluctuations emerge in balanced networks with incomplete recurrent alignment
Networks of strongly coupled neurons with random connectivity exhibit chaotic, asynchronous fluctuations. In a previous study, we showed that when endowed with an additional component of low-rank connectivity consisting of the outer product of orthogonal
Itamar D. Landau, Haim Sompolinsky
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Extreme Singular Values of Random Time-Frequency Structured Matrices [PDF]
In this paper, we investigate extreme singular values of the analysis matrix of a Gabor frame $(g, \Lambda)$ with a random window $g$. Columns of such matrices are time and frequency shifts of $g$, and $\Lambda\subset \mathbb{Z}_M\times\mathbb{Z}_M$ is ...
Salanevich, Palina
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Robust control of ill-conditioned plants: high-purity distillation [PDF]
Using a high-purity distillation column as an example, the physical reason for the poor conditioning and its implications on control system design and performance are explained.
Doyle, John C. +2 more
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Non-Markovian Decay and Lasing Condition in an Optical Microcavity Coupled to a Structured Reservoir [PDF]
The decay dynamics of the classical electromagnetic field in a leaky optical resonator supporting a single mode coupled to a structured continuum of modes (reservoir) is theoretically investigated, and the issue of threshold condition for lasing in ...
C. Cohen-Tannoudji +8 more
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svt: Singular Value Thresholding in MATLAB
Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed to achieve shrinkage and low rank solutions.
Cai Li, Hua Zhou
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Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions [PDF]
Low-rank matrix approximations, such as the truncated singular value decomposition and the rank-revealing QR decomposition, play a central role in data analysis and scientific computing.
Halko, Nathan +2 more
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Observability and Synchronization of Neuron Models [PDF]
Observability is the property that enables to distinguish two different locations in $n$-dimensional state space from a reduced number of measured variables, usually just one.
Aguirre, Luis A. +2 more
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