Results 61 to 70 of about 4,543,360 (329)

On asymptotic power dimension

open access: yesTopology and its Applications, 2016
The asymptotic dimension \(\text{asdim}\,X\) and the asymptotic Assouad-Nagata dimension \(\text{asdim}_{AN}X\) of a metric space \(X\) have been studied by many authors. In this paper, the authors introduce an analogous concept to these dimensions, named the asymptotic power dimension \(\text{asdim}_{P}X\) of a metric space \(X\), and investigate this
Kucab, Jacek, Zarichnyi, Mykhailo
openaire   +2 more sources

AdS3 holography at dimension two

open access: yesJournal of High Energy Physics, 2019
Holography can provide a microscopic interpretation of a gravitational solution as corresponding to a particular CFT state: the asymptotic expansion in gravity encodes the expectation values of operators in the dual CFT state.
Stefano Giusto   +2 more
doaj   +1 more source

Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing

open access: yesIEEE Access, 2019
This paper addresses the asymptotic behavior of a particular type of information-plus-noise-type matrices, where the column and row numbers of the matrices are large and of the same order, while signals have diverged and the time delays of the channel ...
Guanping Lu   +3 more
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Performance analysis of zero-forcing coordinated MIMO transmission in interference channels

open access: yesTongxin xuebao, 2012
The performance of the zero-forcing (ZF) coordinated transmit strategy in multiple-input multiple-output (MIMO) interference channels was investigated.With the goal to derive analytical expression of its performance metric such as the sum rate and the ...
Hai-rong WANG   +3 more
doaj   +2 more sources

Asymptotic grand unification in SO(10) with one extra dimension

open access: yesJournal of High Energy Physics
Asymptotic grand unification provides an alternative approach to gradually unify gauge couplings in the UV limit, where they reach a non-trivial UV fixed point.
Gao-Xiang Fang   +2 more
doaj   +1 more source

Finite asymptotic dimension for CAT(0) cube complexes [PDF]

open access: yes, 2010
We prove that the asymptotic dimension of a finite-dimensional CAT(0) cube complex is bounded above by the dimension. To achieve this we prove a controlled colouring theorem for the complex.
N. Wright
semanticscholar   +1 more source

On asymptotic density inn-dimensions [PDF]

open access: yesPacific Journal of Mathematics, 1969
The notion of asymptotic density for sets of non-negative integers is generalized to sets of \(n\)-dimensional ``non-negative'' lattice points. Let \(S\) be the set of all \(n\)-tuples of non-negative integers. For \(A\subseteq S\), the Schnirelmann density, \(d(A)\), of \(A\), has been defined to be \(glb_F(A(F)/S(F))\) where \(X(Y)\) is the number of
openaire   +2 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

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