Advances in Continuous and Discrete Models
Advances in Continuous and Discrete Models(英文缩写 ADV CONTIN DISCRET M),ISSN 2731-4235,eISSN 2731-4235 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
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Advances in Continuous and Discrete Models 最新收录文献
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Linear reflected backward stochastic differential equations arising from vulnerable claims in markets with random horizon.
This paper considers the setting governed by , where is the "public" flow of information, and is a random time which might not be -observable. This framework covers credit risk and life insurance. In …
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Weak persistence and extinction of a stochastic epidemic model with distributed delay and Ornstein-Uhlenbeck process.
A stochastic distributed delay epidemic model with Markovian switching and Allee effect is constructed, where the infectious disease transmission rate follows a mean-reverting Ornstein-Uhlenbeck proce…
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Connecting image inpainting with denoising in the homogeneous diffusion setting.
While local methods for image denoising and inpainting may use similar concepts, their connections have hardly been investigated so far. The goal of this work is to establish links between the two by …
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A unified stochastic SIR model driven by Lévy noise with time-dependency.
We propose a unified stochastic SIR model driven by Lévy noise. The model is structural enough to allow for time-dependency, nonlinearity, discontinuity, demography, and environmental disturbances. We…
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Some properties of branching processes with random control functions and affected by viral infectivity in random environments.
In this paper, a model of branching processes with random control functions and affected by viral infectivity in independent and identically distributed random environments is established, and the Mar…
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A fast continuous time approach with time scaling for nonsmooth convex optimization.
In a Hilbert setting, we study the convergence properties of the second order in time dynamical system combining viscous and Hessian-driven damping with time scaling in relation to the minimization of…
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A physics-informed neural network to model COVID-19 infection and hospitalization scenarios.
In this paper, we replace the standard numerical approach of estimating parameters in a mathematical model using numerical solvers for differential equations with a physics-informed neural network (PI…
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Dynamics analysis and optimal control of SIVR epidemic model with incomplete immunity.
In this paper, we establish an SIVR model with diffusion, spatially heterogeneous, latent infection, and incomplete immunity in the Neumann boundary condition. Firstly, the threshold dynamic behavior …
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Uniform convergence guarantees for the deep Ritz method for nonlinear problems.
We provide convergence guarantees for the Deep Ritz Method for abstract variational energies. Our results cover nonlinear variational problems such as the -Laplace equation or the Modica-Mortola energ…
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Global stability of an SAIRD epidemiological model with negative feedback.
In this work, we study the dynamical behavior of a modified SIR epidemiological model by introducing negative feedback and a nonpharmaceutical intervention. The first model to be defined is the uscept…