Manuscript Topics

With the advance of computer storage capacity and online observation technique, data in many fields come to us through naturally described as functional. Due to the impressive applications, functional data analysis has attracted much attention of many researchers. Difference-differential equations have important applications in physics, chemical, control system, signal processing and so on. Hence, it is interesting to study functional data analysis and theory and numerical algorithms for difference-differential equations.

This special issue will be devoted to collecting recent results on theory, numerical methods and application of functional data analysis and difference-differential equations.

Potential topics include but are not limited to the following:  
• Theory results on functional data analysis  
• Numerical methods for functional data analysis  
• Kernel-based regression for functional data  
• Kernel methods for system identification  
• Numerical methods for initial value problems  
• Theory results and numerical methods for boundary value problems  
• Theory results and numerical methods for fractional differential equations  
• Theory results and numerical methods for oscillating differential equations  
• Theory results and numerical methods for singularly perturbed problems  
• Theory results and numerical methods for impulsive initial and boundary value problems

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