This paper is concerned with the long-time behavior of solutions for a class of stochastic semilinear degenerate equations with memory driven by nonlinear noise on ℝ n ...
The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...
Abstract: In this article, we consider a linear-quadratic optimal control problem of mean-field stochastic differential equation with jump diffusion, which is also called as an mean-field ...
Abstract: Real-world issues can be translated into the language and concepts of mathematics with the use of mathematical models. Models guided by differential equations with intuitive solutions can be ...
Emotional distress among adolescents in most participating countries was higher in 2022 than in 2018, with disproportionate ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
Nonlinear optical (NLO) materials play a vital role in modern photonic technology, driving advancements in applications such ...
A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...
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