Submission Deadline: 01 February 2021 (closed) View: 145
One of the important topics in the applied science is dynamic systems and their applications. If these systems are involved with complex-uncertain data then they will be more important and practical. Because the real-life problems work with this type of data and most of them cannot be solved exactly and easily and sometimes they are impossible to solve. In this regard, role of employing differential equations with uncertain parameters are inevitable. Interval mathematical modeling has not been considered enough for a long time. However, in the recent years, the scientists found the applicability of this significant notion measure uncertainties in the mathematical modeling with interval parameters. Therefore, a number of researches have been done in this regard to analyze the mathematical systems based on the interval parameters and study the real-world systems based on fuzzy mathematical modeling.
Specific topics of interest include (but are not limited to):
• Foundation of Interval arithmetic (Interval arithmetic operations, Generalized Hukuhara difference, Differentiation of interval-valued functions, variant of constraint interval arithmetic, etc.)
• Interval ordinary differential equations (Existence, Uniqueness and Stability of the solution)
• Interval integral differential equations in combination with machine learning algorithms
• Fractional calculus for interval-valued functions
• Interval dynamical systems and their relevant approximate solutions
• Spectral solutions of interval integer and fractional models arising in the physical models
• Interval arithmetic to model the viscoelastic behavior of the dynamic systems
• Numerical solutions of Hybrid Interval differential equations
• Approximate solutions of interval integro-differential equations
• Interval functional, stochastic, fractional and random differential equations with their numerical solutions