Results 11 to 20 of about 1,101,519 (253)
Inequalities for the Frobenius norm [PDF]
Journal of Mathematical Inequalities, 2015 In this note, we present a refinement of Heinz inequality for the Frobenius norm and discuss the relationship between our result and some existing ...
Yang Peng
semanticscholar +2 more sources
Generalizations of 2-Dimensional Diagonal Quantum Channels with Constant Frobenius Norm [PDF]
Reports on Mathematical Physics, 2019 We introduce the set of quantum channels with constant Frobenius norm, the set of diagonal channels and the notion of equivalence of one-parameter families of channels.
I. Sergeev
exaly +2 more sources
Covariance structure regularization via Frobenius-norm discrepancy [PDF]
Linear Algebra and its Applications, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiangzhao Cui +5 more
semanticscholar +3 more sources
Stochastic Estimation of the Frobenius Norm in the ACA Convergence Criterion [PDF]
IEEE Transactions on Antennas and Propagation, 2015 The adaptive cross approximation (ACA) algorithm has been used in many fast Integral Equation solvers for electromagnetic Radiation and Scattering problems. It efficiently computes a low rank approximation to the interaction matrix between mutually distant parts of a scattering object.
A. Heldring, E. Ubeda, J. Rius
semanticscholar +4 more sources
Probabilistic analysis of an estimator for the Frobenius norm of a matrix product
JSIAM Letters, 2017 Summary: Estimating the Frobenius norm of a matrix product \(C=XY\) without computing \(C\) explicitly is required in applications such as the one-sided block Jacobi method. In this paper, we analyze \textit{M. Bečka} et al.'s [Parallel Comput. 28, No.
Yûsaku Yamamoto
exaly +4 more sources
Frobenius Norm Regularization for the Multivariate Von Mises Distribution
Int. J. Intell. Syst., 2017 Penalizing the model complexity is necessary to avoid overfitting when the number of data samples is low with respect to the number of model parameters.
Luis Rodriguez-Lujan +2 more
semanticscholar +3 more sources
Maximum Batch Frobenius Norm for Multi-Domain Text Classification [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Multi-domain text classification (MDTC) has obtained remarkable achievements due to the advent of deep learning. Recently, many endeavors are devoted to applying adversarial learning to extract domain-invariant features to yield state-of-the-art results.
Yuan Wu, Diana Inkpen, Ahmed El-Roby
semanticscholar +1 more source
On the Frobenius norm of commutator of Cauchy-Toeplitz matrix and exchange matrix
Turkish Journal of Mathematics, 2023 : Matrix commutator and anticommutator play an important role in mathematics, mathematical physic, and quantum physic. The commutator and anticommutator of two n × n complex matrices A and B are defined by [ A, B ] = AB − BA and ( A, B ) = AB + BA ...
Süleyman Solak, M. Bahşı
semanticscholar +1 more source
Bounding the Frobenius norm of a q-deformed commutator
Linear Algebra and its Applications, 2022 For two $n \times n$ complex matrices $A$ and $B$, we define the $q$-deformed commutator as $[ A, B ]_q := A B - q BA$ for a real parameter $q$. In this paper, we investigate a generalization of the Böttcher-Wenzel inequality which gives the sharp upper bound of the (Frobenius) norm of the commutator.
Dariusz Chruściński +3 more
openaire +3 more sources
Truncated singular value decomposition in ripped photo recovery [PDF]
ITM Web of Conferences, 2021 Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application of SVD in recovering ripped photos was exploited. Recovery was done by applying truncated SVD iteratively.
Lem Kong Hoong
doaj +1 more source