Results 31 to 40 of about 914,477 (196)
Tensor structure for Nori motives
, 2019 We construct a tensor product on Freyd's universal abelian category attached to an additive tensor category or a tensor quiver and establish a universal property.
Barbieri-Viale, Luca +2 more
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Reconstruction of the primordial power spectra with Planck and BICEP2 [PDF]
, 2014 By using the cubic spline interpolation method, we reconstruct the shape of the primordial scalar and tensor power spectra from the recently released {\it Planck} temperature and BICEP2 polarization cosmic microwave background data.
Cai, Rong-Gen +3 more
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SICE Journal of Control, Measurement, and System Integration, 2019 We consider solving a large-scale Lyapunov equation for a multi-agent system. As is well known, the Lyapunov equation can be solved by equivalently rewriting it as a system of linear equations.
Asuka Ohashi, Kiyotsugu Takaba
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Shape-Adaptive Tensor Factorization Model for Dimensionality Reduction of Hyperspectral Images
IEEE Access, 2019 Tensor-based dimensionality reduction (DR) of hyperspectral images is a promising research topic. However, patch-based tensorization usually adopts a squared neighborhood with fixed window size, which may be inaccurate in modeling the local spatial ...
Zhaohui Xue, Sirui Yang, Mengxue Zhang
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Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution
Frontiers in Applied Mathematics and Statistics, 2022 Several problems in compressed sensing and randomized tensor decomposition can be formulated as a structured linear system with a constrained tensor as the solution.
Stijn Hendrikx +3 more
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Tensor Transpose and Its Properties [PDF]
, 2014 Tensor transpose is a higher order generalization of matrix transpose. In this paper, we use permutations and symmetry group to define? the tensor transpose. Then we discuss the classification and composition of tensor transposes.
Pan, Ran
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Matrix Polynomial Predictive Model: A New Approach to Accelerating the PARAFAC Decomposition
IEEE Access, 2019 Alternating least squares (ALS) and its variations are the most commonly used algorithms for the PARAFAC decomposition of a tensor. However, it is still troubled for one how to accelerate the ALS algorithm with the reduced computational complexity.
Ming Shi, Dan Li, Jian Qiu Zhang
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$SDD_1$ tensors and $B_1$-tensors
The Electronic Journal of Linear AlgebraStrong $\mathcal{H}$-tensors play an important role in the fields of science and engineering. In this paper, we first propose a new subclass of strong $\mathcal{H}$-tensors that we call the class of $SDD_1$ tensors. We also prove that if a tensor is an $SDD_1$ tensor, it is a strong $\mathcal{H}$-tensor. As an application, a sufficient condition for an
Weiting Duan, Dekun Wen, Yaqiang Wang
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Vector‐Tensor Multiplets [PDF]
Fortschritte der Physik, 1998 We review the coupling of N=2 supergravity to vector-tensor multiplets, based on the method of superconformal multiplet calculus.
P. Claus +6 more
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Nonnegative Tensor Factorization, Completely Positive Tensors and an Hierarchical Elimination Algorithm [PDF]
, 2013 Nonnegative tensor factorization has applications in statistics, computer vision, exploratory multiway data analysis and blind source separation. A symmetric nonnegative tensor, which has a symmetric nonnegative factorization, is called a completely ...
Qi, Liqun, Xu, Changqing, Xu, Yi
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