Results 11 to 20 of about 5,577 (256)

Two invertible networks for the matrix element method

SciPost Physics, 2023
The matrix element method is widely considered the ultimate LHC inference tool for small event numbers. We show how a combination of two conditional generative neural networks encodes the QCD radiation and detector effects without any simplifying ...
Anja Butter, Theo Heimel, Till Martini   +2 more
exaly   +5 more sources

Matrix Mappings on the Domains of Invertible Matrices [PDF]

Journal of Function Spaces and Applications, 2013
We focus on sequence spaces which are matrix domains of Banach sequence spaces. We show that the characterization of a random matrix operator , where and are matrix domains with invertible matrices and , can be reduced to the characterization of the ...
Muhammed Altun
doaj   +3 more sources

Characterizations of the group invertibility of a matrix revisited

Demonstratio Mathematica, 2022
A square complex matrix AA is said to be group invertible if there exists a matrix XX such that AXA=AAXA=A, XAX=XXAX=X, and AX=XAAX=XA hold, and such a matrix XX is called the group inverse of AA.
Tian Yongge
doaj   +2 more sources

Rings over which the transpose of every invertible matrix is invertible

Journal of Algebra, 2009
The authors prove that the transpose of every invertible square matrix over a ring \(R\) is invertible if and only if \(R/\text{rad}(R)\) is commutative. Many other characterizations are obtained for such rings. They also show that, for von Neumann regular rings, this is a necessary and sufficient condition for the commutativity of \(R\).
Anjana Khurana, Dinesh Khurana, T Y Lam   +2 more
exaly   +2 more sources

An Enhanced Numerical Iterative Method for Expanding the Attraction Basins When Computing Matrix Signs of Invertible Matrices

Fractal and Fractional, 2023
The computation of the sign function of a matrix plays a crucial role in various mathematical applications. It provides a matrix-valued mapping that determines the sign of each eigenvalue of a nonsingular matrix.
Malik Zaka Ullah, Hemant Kumar Nashine, Monairah Alansari   +2 more
exaly   +3 more sources

A Task-Driven Invertible Projection Matrix Learning Algorithm for Hyperspectral Compressed Sensing

Remote Sensing, 2021
The high complexity of the reconstruction algorithm is the main bottleneck of the hyperspectral image (HSI) compression technology based on compressed sensing.
Wenbo Liu
exaly   +3 more sources

S-matrix bootstrap and non-invertible symmetries

Journal of High Energy Physics
We initiate the S-matrix bootstrap analysis of theories with non-invertible symmetries in (1+1) dimensions. Our previous work [1] showed that crossing symmetry of S-matrices in such theories is modified, with modification characterized by the fusion ...
Christian Copetti, Lucía Córdova, Shota Komatsu   +2 more
doaj   +5 more sources

Efficient Tensor Robust Principal Analysis via Right-Invertible Matrix-Based Tensor Products

Axioms
In this paper, we extend the definition of tensor products from using an invertible matrix to utilising right-invertible matrices, exploring the algebraic properties of these new tensor products.
Jun Feng
exaly   +3 more sources

Effect of Self-Invertible Matrix on Cipher Hexagraphic Polyfunction

Cryptography, 2019
A cryptography system was developed previously based on Cipher Polygraphic Polyfunction transformations, C i × j ( t ) ≡ A i × i t P i × j m o d N where C i × j , P i × j , A i
Faridah Yunos
exaly   +3 more sources

Stationarity and invertibility of a dynamic correlation matrix [PDF]

Kybernetika, 2017
Summary: One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the Quasi-Maximum Likelihood Estimators (QMLE).
Michael McAleer, Christian Hafner
openaire   +6 more sources