Results 131 to 140 of about 1,823 (234)

Efficient Tensor Completion Algorithms for Highly Oscillatory Operators

Numerical Linear Algebra with Applications, Volume 33, Issue 4, August 2026.
ABSTRACT We address the problem of recovering highly oscillatory operators, represented as n×n$$ n\times n $$ matrices with a fixed set of observed entries. Given that these matrices can be well compressed by butterfly matrix decomposition of L=𝒪(logn) levels requiring only O(nlogn)$$ O\left(n\log n\right) $$ degrees of freedom, we propose a novel ...
Navjot Singh, Edgar Solomonik, Xiaoye Sherry Li, Yang Liu   +3 more
wiley   +1 more source

KRONECKER PRODUCT OF TENSORS AND HYPERGRAPHS: STRUCTURE AND DYNAMICS. [PDF]

SIAM J Matrix Anal Appl
Pickard J, Chen C, Stansbury C, Surana A, Bloch A, Rajapakse I.   +5 more
europepmc   +1 more source

Bidiagonal Decompositions and High‐Accuracy Computations for Newton Collocation Matrices

Numerical Linear Algebra with Applications, Volume 33, Issue 4, August 2026.
ABSTRACT We consider a class of collocation matrices A$$ A $$ associated with the Newton basis of the space of polynomials of degree at most n$$ n $$, evaluated at a set of l+1≥n+1$$ l+1\ge n+1 $$ nodes. In the most general setting, we allow n$$ n $$ of these nodes to either coincide with or differ from those defining the Newton basis.
E. Mainar, A. Marco, B. Rubio, R. Viaña
wiley   +1 more source

KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection. [PDF]

Sci Rep
Ullah S, Wu J, Kamal MM, Saudagar AKJ.
europepmc   +1 more source

Randomized Algorithms for Streaming Low‐Rank Approximation in Tree Tensor Network Format

Numerical Linear Algebra with Applications, Volume 33, Issue 4, August 2026.
ABSTRACT In this work, we present the tree tensor network Nyström (TTNN), an algorithm that extends recent research on streamable tensor approximation, such as for Tucker and tensor‐train formats, to the more general tree tensor network format, enabling a unified treatment of various existing methods.
Alberto Bucci, Gianfranco Verzella
wiley   +1 more source

Research on Identification of Minimum Parameter Set in Robot Dynamics and Excitation Strategy. [PDF]

Sensors (Basel)
Wang Z, Han J, Li X, Guo B, Lu L.
europepmc   +1 more source

Using Latent Representations to Link Disjoint Longitudinal Data for Mixed‐Effects Regression

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Many rare diseases offer limited established treatment options, leading patients to switch therapies when new medications emerge. To analyze the impact of such treatment switches within the low sample size limitations of rare disease trials, it is important to use all available data sources.
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner, Félix B. Tambe‐Ndonfack, Thorsten Schmidt, Astrid Pechmann, Janbernd Kirschner, Jan Hasenauer, Harald Binder   +8 more
wiley   +1 more source

Joint Transmit-Receive Weight Optimization for FDA Radar to Balance Active Detection and RF Stealth. [PDF]

Sensors (Basel)
Guan H, Zhang S, Wang WQ.
europepmc   +1 more source

Disentangling Spatial‐Temporal Features for Controllable Factors Learning in Precipitation Nowcasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang, Chong Wang, Ruikai Yang, Xiaofeng Li   +3 more
wiley   +1 more source

Constructive <i>Q</i>-Matrix Identifiability via Novel Tensor Unfolding. [PDF]

Psychometrika
Gu Y.
europepmc   +1 more source