The Runge-Kutta-Fehlberg method is a numerical technique used to solve ordinary differential equations with adaptive step sizing. This method combines the benefits of the classical Runge-Kutta approach with an error estimation process, allowing it to adjust the step size dynamically based on the accuracy needed for a specific solution. By doing so, it efficiently balances computational cost and precision, making it suitable for problems where high accuracy is required without excessive computational effort.
congrats on reading the definition of Runge-Kutta-Fehlberg. now let's actually learn it.