Results 161 to 170 of about 133,676 (303)

Analyzing the Free States of one Quantum Resource Theory as Resource States of Another

Advanced Quantum Technologies, Volume 9, Issue 2, February 2026.
The article investigates how free states in one quantum resource theory can become highly resourceful in another. It systematically studies multipartite entanglement, fermionic non‐Gaussianity, imaginarity, realness, spin coherence, Clifford non‐stabilizerness, Sn‐equivariance, and non‐uniform entanglement, combining rigorous analytical tools and ...
Andrew E. Deneris, Paolo Braccia, Pablo Bermejo, N. L. Diaz, Antonio A. Mele, M. Cerezo   +5 more
wiley   +1 more source

Asymptotic expansion of $\beta $ matrix models in the multi-cut regime

Forum of Mathematics, Sigma
We establish the asymptotic expansion in $\beta $ matrix models with a confining, off-critical potential in the regime where the support of the equilibrium measure is a finite union of segments.
Gaëtan Borot, Alice Guionnet
doaj   +1 more source

Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Risk prediction is a key component of survival analysis across various fields, including medicine, public health, economics, engineering, and others. The fundamental concern of risk prediction lies in the joint distribution of risk factors and the time to event.
Zhiyang Zhou, Yu Deng, Lei Liu, Hongmei Jiang, Yifan Peng, Xiaoyun Yang, Yun Zhao, Hongyan Ning, Norrina B. Allen, John T. Wilkins, Kiang Liu, Donald M. Lloyd‐Jones, Lihui Zhao   +12 more
wiley   +1 more source

High-Performance Krawtchouk Polynomials of High Order Based on Multithreading

Computation
Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability ...
Wameedh Nazar Flayyih, Ahlam Hanoon Al-sudani, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah   +4 more
doaj   +1 more source

A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation

Wind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley   +1 more source

Sturm’s Comparison Theorem for Classical Discrete Orthogonal Polynomials

Results in Mathematics
AbstractIn an earlier work (Castillo et al. in J Math Phys 61:103505, 2020), it was established, from a hypergeometric-type difference equation, tractable sufficient conditions for the monotonicity with respect to a real parameter of zeros of classical discrete orthogonal polynomials on linear, quadratic, q-linear, and q-quadratic grids.
openaire   +1 more source

Invariance properties of Wronskian type determinants of classical and classical discrete orthogonal polynomials

Journal of Mathematical Analysis and Applications, 2019
G. Curbera, A. J. Durán
semanticscholar   +1 more source

Disintegration and Skipping Dynamics of Bilobate‐Shaped Meteoroids for Generating Ultra‐Long Strewn Fields

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The longest known Aletai meteorite belt presents a unique phenomenon in meteoroid dynamics. To investigate its formation mechanism, this study introduces a bilobate‐shaped meteoroid model, emphasizing aerodynamic interactions and structure evolution.
Haoyu Li, Ziwen Li, Qingbo Gan, Xiangyuan Zeng   +3 more
wiley   +1 more source

$q$-Discrete Painlevé equations for recurrence coefficients of modified $q$-Freud orthogonal polynomials [PDF]

, 2008
Lies Boelen, Christophe Smet, Walter Van Assche   +2 more
openalex   +1 more source

Reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 1, Page 173-206, February 2026.
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij, Lorenza Cotugno, Roberta Siciliano   +2 more
wiley   +1 more source