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Uniform Distribution Modulo 1 and the Joint Universality of Dirichlet L -functions

Lithuanian Mathematical Journal, 2016
Antanas Laurincikas   +2 more
exaly   +2 more sources

Stochastic Lagrangian dynamics of vorticity. Part 1. General theory for viscous, incompressible fluids

Journal of Fluid Mechanics, 2020
Prior mathematical work of Constantin & Iyer (Commun. Pure Appl. Maths, vol. 61, 2008, pp. 330–345; Ann. Appl. Probab., vol. 21, 2011, pp. 1466–1492) has shown that incompressible Navier–Stokes solutions possess infinitely many stochastic Lagrangian ...
G. Eyink, Akshat Gupta, T. Zaki
semanticscholar   +1 more source

Optimal Multi-Distribution Learning

Annual Conference Computational Learning Theory, 2023
Multi-distribution learning (MDL), which seeks to learn a shared model that minimizes the worst-case risk across k distinct data distributions, has emerged as a unified framework in response to the evolving demand for robustness, fairness, multi-group ...
Zihan Zhang   +4 more
semanticscholar   +1 more source

New Concepts of Congruences Modulo 1/n and Positive Integers Modulo 1/n

Indian Journal of Advanced Mathematics
The aim of this article is the creation of new Mathematical beings: The positive integers Modulo 1/n. I hope that they will be used by all the scientific community in general and the computer scientists (cryptographers) particularly.
Habib Lebsir
semanticscholar   +1 more source

Dynamics of an age-structured HIV model with general nonlinear infection rate

IMA Journal of Applied Mathematics, 2023
In this paper, the asymptotical behavior of an age-structured HIV infection model with general nonlinear infection function and logistic proliferation term is studied.
Yuan Yuan, Xianlong Fu
semanticscholar   +1 more source

A Note on Matrices Over ℤ with Entries Stemming from Binomial Coefficients and from Catalan Numbers Once Pure and Once Taken Modulo 2

Uniform Distribution Theory
The Pascal matrix, which is related to Pascal’s triangle, appears in many places in the theory of uniform distribution and in many other areas of mathematics.
Roswitha Hofer
semanticscholar   +1 more source

A general computational framework for precision quantification in heteroscedastic industrial data: theory, algorithms, and production control validation

International Journal of Industrial Engineering Computations
Precision quantification is a core metric in industrial engineering (e.g., production quality control, sensor data calibration, automated assembly accuracy), where the traditional assumption of isotropic (homoscedastic) error variances often fails to ...
J. Ge, desheng Meng, Simeng Yang
semanticscholar   +1 more source

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