Abstrait

An introduction: Differential equation with applications

David Miller

In recent decades, differential equations, defined as the extension or generalization of classical integers to non-integer order situations, have gotten a lot of scholarly interest. It describes a system's behavior by describing its immediate dynamics (Atangana et al, 2020). In the past, mathematical models were created using theory, such as Newtonian physics, Maxwell's equations, or infectious epidemiological models, with constants determined from data. Because the values in these situations are rarely provided in closed form, statistical approaches must be used. Basic concepts were researched and modelled. Solving complex mathematics specified by machine learning becomes more expensive numerically as schooling progresses. We provide a solution that makes learning kinetics easier to solve.