Results 41 to 50 of about 1,070 (109)
Incremental Model Order Reduction of Smoothed‐Particle Hydrodynamic Simulations
International Journal for Numerical Methods in Fluids, EarlyView.The paper presents the development of an incremental singular value decomposition strategy for compressing time‐dependent particle simulation results, addressing gaps in the data matrices caused by temporally inactive particles. The approach reduces memory requirements by about 90%, increases the computational effort by about 10%, and preserves the ...
Eduardo Di Costanzo +3 more
wiley +1 more source
Distributed Observer for Linear Systems with Multirate Sampled Outputs Involving Multiple Delays
MathematicsThis paper focuses on the design of a continuous distributed observer for linear systems under multirate sampled output measurements involving multiple delays. It is mathematically proved that the continuous distributed observer can achieve estimation in
Laura-Adriana Galicia-Galicia +4 more
doaj +1 more source
Properties, mechanisms, and perspectives of ultrafast laser modifications in silicate glass volume
International Journal of Applied Glass Science, EarlyView.Abstract Ultrafast laser irradiation of glass enables highly localized structural transformations within the material's bulk, unlocking diverse applications in photonics, data storage, and microfabrication. Here, we provide a concise yet comprehensive overview of the main types of femtosecond laser‐induced modifications in silica‐based glasses (Types I,
Nadezhda Shchedrina +3 more
wiley +1 more source
Debiasing piecewise deterministic Markov process samplers using couplings
Scandinavian Journal of Statistics, EarlyView.Abstract Monte Carlo methods—such as Markov chain Monte Carlo (MCMC) and piecewise deterministic Markov process (PDMP) samplers—provide asymptotically exact estimators of expectations under a target distribution. There is growing interest in alternatives to this asymptotic regime, in particular in constructing estimators that are exact in the limit of ...
Adrien Corenflos +2 more
wiley +1 more source
A Nordhaus–Gaddum Problem for the Spectral Gap of a Graph
Journal of Graph Theory, Volume 110, Issue 2, Page 132-144, October 2025.ABSTRACT Let G be a graph on n vertices, with complement G ¯. The spectral gap of the transition probability matrix of a random walk on G is used to estimate how fast the random walk becomes stationary. We prove that the larger spectral gap of G and G ¯ is Ω ( 1 ∕ n ).
Sooyeong Kim, Neal Madras
wiley +1 more source
Hamiltonian Cycles on Ammann-Beenker Tilings
Physical Review XWe provide a simple algorithm for constructing Hamiltonian graph cycles (visiting every vertex exactly once) on a set of arbitrarily large finite subgraphs of aperiodic two-dimensional Ammann-Beenker (AB) tilings.
Shobhna Singh +2 more
doaj +1 more source
Математические вопросы криптографии, 2019 Изучается распределение длины отрезка апериодичности в графе композиции независимых равновероятных случайных отображений конечного множества. Получены точные и асимптотические выражения, а также неравенства для распределения, математического ожидания длины отрезка апериодичности и числа вершин с отрезком апериодичности заданной длины.
openaire +3 more sources
A unifying class of compound Poisson integer‐valued ARMA and GARCH models
Scandinavian Journal of Statistics, Volume 52, Issue 3, Page 1176-1205, September 2025.Abstract INAR (integer‐valued autoregressive) and INGARCH (integer‐valued GARCH) models are among the most commonly employed approaches for count time series modeling, but have been studied in largely distinct strands of literature. In this paper, a new class of generalized integer‐valued ARMA (GINARMA) models is introduced which unifies a large number
Johannes Bracher, Barbora Němcová
wiley +1 more source
Advanced Science, Volume 12, Issue 32, August 28, 2025.BrainFusion is a low‐code software framework for multimodal brain–computer interface (BCI) and brain–body interaction research. It supports electroencephalography (EEG), functional near‐infrared spectroscopy (fNIRS), electromyography (EMG), and electrocardiography (ECG) integration with standardized preprocessing, feature fusion, and model ...
Wenhao Li +10 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, Volume 7, Issue 8, August 2025.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source