Yi Cheng,Mohammad Khairul Bashar,Nikhil Shukla et al.
Yi Cheng et al.
This work advances the understanding of oscillator Ising machines (OIMs) as a nonlinear dynamic system for solving computationally hard problems. Specifically, we classify the infinite number of all possible equilibrium points of an OIM, in...
Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion [0.03%]
基于动态模式分解和多项式混沌展开的求解随机偏微分方程的非侵入降维方法
Shuman Wang,Afshan Batool,Xiang Sun et al.
Shuman Wang et al.
In this study, we present a novel non-intrusive reduced-order model (ROM) for solving time-dependent stochastic partial differential equations (SPDEs). Utilizing proper orthogonal decomposition (POD), we extract spatial modes from high-fide...
Publisher's Note: "Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling" [Chaos 34, 053133 (2024)] [0.03%]
出版者按：《将神经障碍建模为作用于大脑的操作器的结果——基于网络通道建模的初步草图》[Chaos 34, 053133 (2024)]
Maria Mannone,Peppino Fazio,Norbert Marwan
Maria Mannone
Published Erratum
Chaos (Woodbury, N.Y.). 2024 Jun 1;34(6):069901. DOI:10.1063/5.0222393 2024
Matheus Rolim Sales,Serhiy Yanchuk,Jürgen Kurths
Matheus Rolim Sales
Adaptive dynamical networks are network systems in which the structure co-evolves and interacts with the dynamical state of the nodes. We study an adaptive dynamical network in which the structure changes on a slower time scale relative to ...
Emergence of chimeralike oscillation modes in excitable complex networks with preferentially cutting-rewiring operation [0.03%]
具优先切断-重构操作的可兴奋复杂网络中类嵌合体振荡模式的涌现
Yu Qian,Jing Han,Runru Yang et al.
Yu Qian et al.
In this paper, the preferentially cutting-rewiring operation (PCRO) consisting of the cutting procedure and the rewiring procedure is proposed and is applied on an excitable Erdös-Rényi random network (EERRN), by which the structure of th...
Chaos and extinction risks of sexually reproductive generalist top predator in a seasonally forced food chain system with Allee effect [0.03%]
季节强迫下具有allee效应的食物链系统中性繁殖泛食性顶级捕食者的混沌与灭绝风险研究
Sayan Mandal,Nazmul Sk,Pankaj Kumar Tiwari et al.
Sayan Mandal et al.
This paper investigates the dynamics of a tritrophic food chain model incorporating an Allee effect, sexually reproductive generalist top predators, and Holling type IV and Beddington-DeAngelis functional responses for interactions across d...
Distributed Nash equilibrium seeking in noncooperative game with partial decision information of neighbors [0.03%]
基于邻居部分决策信息的非合作博弈分布式纳什均衡寻求算法研究
Xin Jin,Kaihong Lu,Zhengxin Wang et al.
Xin Jin et al.
In the real world, individuals may conceal some of their real decision information to their neighbors due to competition. It is a challenge to explore the distributed Nash equilibrium when individuals play the noncooperative game with parti...
SAMSGL: Series-aligned multi-scale graph learning for spatiotemporal forecasting [0.03%]
系列对齐的多尺度图学习时空预测方法(SAMSGL)
Xiaobei Zou,Luolin Xiong,Yang Tang et al.
Xiaobei Zou et al.
Spatiotemporal forecasting in various domains, like traffic prediction and weather forecasting, is a challenging endeavor, primarily due to the difficulties in modeling propagation dynamics and capturing high-dimensional interactions among ...
Dynamics of a stage-structured predator-prey system with fear-induced group defense in autonomous and nonautonomous settings [0.03%]
自治和非自治情况下的恐惧诱导防御阶段结构捕食者-猎物系统的动力学
Subarna Roy,Sajan,Pankaj Kumar Tiwari et al.
Subarna Roy et al.
In this investigation, we construct a predator-prey model that distinguishes between immature and mature prey, highlighting group defense strategies within the mature prey. First, we embark on exploring the positivity and boundedness of the...
Enhancing model identification with SINDy via nullcline reconstruction [0.03%]
基于等值线重构增强SINDy的模型识别能力
Bartosz Prokop,Nikita Frolov,Lendert Gelens
Bartosz Prokop
Many dynamical systems exhibit oscillatory behavior that can be modeled with differential equations. Recently, these equations have increasingly been derived through data-driven methods, including the transparent technique known as Sparse I...