Manuscript Topics

In recent years, with the gradual deepening of research in biomedical related fields such as population ecology, epidemiology, medicine, pharmacokinetics, and neuroscience, the non-smoothness of systems caused by biomedical control cannot be ignored. Non-smooth systems are often more accurate, realistic, and may trigger richer dynamics when describing biological systems. In the field of disease modeling, non-smooth biological systems not only help to characterize various human interventions and control measures, but also provide new ideas and insights for designing more effective treatment strategies. This poses great challenges to the establishment of non-smooth system models, theoretical analysis of non-smooth systems, and efficient numerical calculation methods for non-smooth systems. This special issue aims to promote the development of new models, theory, computational algorithms and efficient optimization techniques of non-smoothness systems. Through this special issue, we hope to further stimulate the development of non-smooth systems theory, promote the application of non-smooth systems theory in solving biomedical problems in the real world, and provide a platform for researchers in applied mathematics, biomedicine, epidemiology et al., to discuss the latest progress in this interdisciplinary research field.

This special issue will focus on modeling of non-smooth biological systems, developing analytical and numerical techniques, model calibration and validation. Potential fields include but are not limited to:

• Theoretical research on non-smooth systems
• The application of non-smooth system theory in population ecology, epidemiology, virus dynamics, pharmacokinetics, neuroscience, tumor treatment, and other fields
• Efficient computational algorithms and optimization techniques on non-smooth systems

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