Results 81 to 90 of about 139,450 (186)

Limit T-subspaces and the central polynomials in n variables of the Grassmann algebra

Journal of Algebra, 2012
22 ...
Gonçalves, Dimas José, Krasilnikov, Alexei, Sviridova, Irina   +2 more
openaire   +2 more sources

Distance-Based Independence Screening for Canonical Analysis

, 2019
This paper introduces a new method named Distance-based Independence Screening for Canonical Analysis (DISCA) to reduce dimensions of two random vectors with arbitrary dimensions.
Huo, Xiaoming, Yu, Chuanping
core  

Impact Analysis of Orthogonal Circular-Polarized Interference on GNSS Spatial Anti-Jamming Array

Remote Sensing
With the continuous advancement of electromagnetic countermeasures, new types of interference signals (e.g., multi-polarization suppression interference) pose a significant threat to conventional Global Navigation Satellite System (GNSS) services, even ...
Ke Zhang, Xiangjun Li, Lei Chen, Zengjun Liu, Yuchen Xie   +4 more
doaj   +1 more source

Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products

SIAM Journal on Mathematics of Data Science
We consider the problem of sufficient dimension reduction (SDR) for multi-index models. The estimators of the central mean subspace in prior works either have slow (non-parametric) convergence rates, or rely on stringent distributional conditions (e.g., the covariate distribution $P_{\mathbf{X}}$ being elliptical symmetric). In this paper, we show that
Gan Yuan, Mingyue Xu, Samory Kpotufe, Daniel Hsu   +3 more
openaire   +3 more sources

Isomorphic Structures and Operator Analysis in Mimetic Discretizations

IEEE Access
This study presents a comprehensive examination of the structural and operatorial foundations within mimetic discretizations, with a focus on bridging the gap between discrete and continuous function spaces.
J. de Curto, I. de Zarza
doaj   +1 more source

RMFGP: A Rotated Multi-Fidelity Gaussian Process Framework for Supervised Dimension Reduction

Mathematics
High-dimensional surrogate modeling with limited high-fidelity data poses a major challenge in uncertainty quantification. Classical supervised dimension reduction methods often fail in this setting due to insufficient accurate observations, while low ...
Jiahao Zhang, Shiqi Zhang, Guang Lin
doaj   +1 more source

Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe

Agricultural Water Management
Sodium hazard poses a critical threat to agricultural production globally and regionally which has been previously predicted from ground or surface water.
Safwan Mohammed, Sana Arshad, Bashar Bashir, Attila Vad, Abdullah Alsalman, Endre Harsányi   +5 more
doaj   +1 more source

On moduli subspaces of central extensions of rational H-spaces

, 2010
We investigate the moduli sets of central extensions of H-spaces enjoying inversivity, power associativity and Moufang properties. By considering rational H-extensions, it turns out that there is no relationship between the first and the second properties in general.
openaire   +2 more sources

Hilbert space fragmentation and subspace scar time-crystallinity in driven homogeneous central-spin models

Physical Review B
19 pages, 10 figures, 1 table, PRB published ...
Abhishek Kumar, Rafail Frantzeskakis, Edwin Barnes   +2 more
openaire   +3 more sources

Enhancing Optical Lattice Clock Coherence Times with Erasure Conversion

PRX Quantum
Increasing coherent interrogation times is central to advancing the precision of optical clocks. Synchronous differential optical clock comparisons have now demonstrated atomic coherence times that far exceed the coherence time of the clock laser.
Shuo Ma, Jonathan Dolde, Xin Zheng, Dhruva Ganapathy, Alexander Shtov, Jenny Chen, Anke Stöltzel, Bennett J. Christensen, Shimon Kolkowitz   +8 more
doaj   +1 more source