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Solving the Integral Differential Equations with Delayed Argument by Using the DTM Method.
Edyta Hetmaniok1, Mariusz Pleszczyński1, Yasir Khan2
1Department of Mathematics Applications and Methods for Artificial Intelligence, Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.
This study introduces a new method using Taylor differential transformation to solve complex integro-differential equations common in wireless sensor networks and the Industrial Internet of Things. The technique transforms these equations into simpler algebraic systems for practical applications.
Area of Science:
- Applied Mathematics
- Computer Science
- Engineering
Background:
- Wireless sensor networks and the Industrial Internet of Things (IIoT) are rapidly advancing.
- Practical applications in smart industries, devices, and transportation necessitate advanced mathematical solutions.
- Existing methods struggle with the complexity of differential, integral, and integro-differential equations.
Purpose of the Study:
- To present an efficient method for solving integro-differential equations with retarded arguments.
- To adapt advanced mathematical techniques for IIoT and wireless sensor network challenges.
- To simplify complex equations into solvable algebraic systems.
Main Methods:
- The study employs the Taylor differential transformation method.
- This technique converts integro-differential equations into systems of algebraic equations.
- The method is designed for equations with delayed arguments.
Main Results:
- The Taylor differential transformation method effectively transforms complex integro-differential equations.
- The transformation results in a system of nonlinear algebraic equations.
- The method demonstrates efficiency and relative simplicity in application.
Conclusions:
- The proposed method offers a valuable approach for tackling complex mathematical problems in emerging technologies.
- While a general solution form is not achievable due to problem complexity, the method provides significant benefits.
- This technique facilitates practical solutions for wireless sensor networks and IIoT applications.
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