The scientist’s investigation covers issues in Computer virus, Epidemic model, Stability theory, Applied mathematics and Mathematical optimization. Xiaofan Yang integrates several fields in his works, including Computer virus and Basic reproduction number. Within one scientific family, Xiaofan Yang focuses on topics pertaining to System parameters under Stability theory, and may sometimes address concerns connected to Sensitivity and Lyapunov function.
His Applied mathematics study incorporates themes from Class, Differentiable function, Monotonic function and Exponential function. Xiaofan Yang studies Mathematical optimization, focusing on Optimal control in particular. His Basis study combines topics from a wide range of disciplines, such as Hypercube, Combinatorics and Parallel computing.
Xiaofan Yang mainly investigates Computer virus, Mathematical optimization, Mathematical analysis, Combinatorics and Topology. His work carried out in the field of Computer virus brings together such families of science as Operations research, Simulation and Stability theory. His work on Optimal control as part of general Mathematical optimization study is frequently linked to Rumor, bridging the gap between disciplines.
Xiaofan Yang works mostly in the field of Mathematical analysis, limiting it down to concerns involving Exponential stability and, occasionally, Applied mathematics, Artificial neural network and Equilibrium point. His research in Combinatorics intersects with topics in Discrete mathematics and Interconnection. His work on Embedding and Torus as part of general Topology research is frequently linked to Wavelength-division multiplexing, thereby connecting diverse disciplines of science.
Xiaofan Yang spends much of his time researching Optimal control, Mathematical optimization, Advanced persistent threat, Nash equilibrium and Rumor. Xiaofan Yang interconnects Control, Profit, Competitor analysis and Operations research in the investigation of issues within Optimal control. His Advanced persistent threat research is multidisciplinary, relying on both Risk analysis and Cyber-attack.
His Nash equilibrium research focuses on Differential game and how it connects with Structure and Differential. While working on this project, he studies both Balance and Computer virus. His research brings together the fields of Network topology and Computer virus.
Xiaofan Yang mainly focuses on Computer experiment, Risk analysis, Advanced persistent threat, Econometrics and Profit. Many of his studies on Computer experiment involve topics that are commonly interrelated, such as Optimal control. As part of one scientific family, Xiaofan Yang deals mainly with the area of Risk analysis, narrowing it down to issues related to the Nash equilibrium, and often Resource allocation, Structure, Differential game and Cyber-attack.
His Econometrics research is multidisciplinary, incorporating elements of Virus, Net profit and Simulation. He has included themes like Word-of-mouth marketing and Marketing campaign in his Profit study. The various areas that Xiaofan Yang examines in his Limit study include Strategy, Game theory and Greedy algorithm.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The locally twisted cubes
Xiaofan Yang;David J. Evans;Graham M. Megson.
International Journal of Computer Mathematics (2005)
A novel computer virus model and its dynamics
Jianguo Ren;Xiaofan Yang;Qingyi Zhu;Lu-Xing Yang.
Nonlinear Analysis-real World Applications (2012)
A delayed computer virus propagation model and its dynamics
Jianguo Ren;Xiaofan Yang;Lu-Xing Yang;Yonghong Xu.
Chaos Solitons & Fractals (2012)
A computer virus model with graded cure rates
Lu-Xing Yang;Xiaofan Yang;Qingyi Zhu;Luosheng Wen.
Nonlinear Analysis-real World Applications (2013)
Modeling and analysis of the spread of computer virus
Qingyi Zhu;Xiaofan Yang;Jianguo Ren.
Communications in Nonlinear Science and Numerical Simulation (2012)
Optimal control of computer virus under a delayed model
Qingyi Zhu;Xiaofan Yang;Lu-Xing Yang;Chunming Zhang.
Applied Mathematics and Computation (2012)
Impulsive stabilization and synchronization of a class of chaotic delay systems.
Chuandong Li;Xiaofeng Liao;Xiaofan Yang;Tingwen Huang.
A propagation model of computer virus with nonlinear vaccination probability
Chenquan Gan;Chenquan Gan;Xiaofan Yang;Wanping Liu;Qingyi Zhu.
Communications in Nonlinear Science and Numerical Simulation (2014)
Epidemics of computer viruses: A complex-network approach
Lu-Xing Yang;Xiaofan Yang;Jiming Liu;Qingyi Zhu.
Applied Mathematics and Computation (2013)
Locally twisted cubes are 4-pancyclic
Xiaofan Yang;Graham M. Megson;David J. Evans.
Applied Mathematics Letters (2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: