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Euler's Method (see related link) can diverge from the real solution if the step size is chosen badly, or for certain types of differential equations.

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What is the theory of finite differential method?

Finite Differential Methods (FDM) are numerical methods for approximating the solutions to differential equations using finite difference equations to approximate derivatives.


What are the steps on solving equations?

The answer will depend very much on the nature of the equation. The steps required for a one-step equation are very different from the steps required for a partial differential equation. For some equations there are no straightforward analytical methods of solution: only numerical methods.


Definition of convergence of Runge-Kutta methods for delays differential equations?

Convergence of Runge-Kutta methods for delay differential equations (DDEs) refers to the property that the numerical solution approaches the true solution as the step size tends to zero. Specifically, it involves the method accurately approximating the solution over time intervals, accounting for the effect of delays in the system. For such methods to be convergent, they must satisfy certain conditions related to the stability and consistency of the numerical scheme applied to the DDEs. This ensures that errors diminish as the discretization becomes finer.


What is differential solution?

A differential solution refers to a method or approach used to solve differential equations, which are mathematical equations involving functions and their derivatives. These solutions can provide insights into various physical phenomena, such as motion, growth, or decay, by describing how quantities change over time or space. Techniques for finding differential solutions include analytical methods, like separation of variables, and numerical methods, such as finite difference or finite element methods. In practice, these solutions are essential for modeling real-world systems in fields like physics, engineering, and economics.


What is numerical solutions of nonlinear equations?

Linear equations, if they have a solution, can be solved analytically. On the other hand, it may not always be possible to find a solution to nonlinear equations. This is where you use various numerical methods (eg Newton-Raphson) to work from one approximate numerical solution to a better solution. This iterative procedure, if properly applied, gives accurate numerical solutions to nonlinear equations. But as mentioned above, they are not arrived at analytically.

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