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Runge Kutta

Controls aspect of the adaptive Runge-Kutta equation solver, which trade off performance and accuracy of the model. Note a first order explicit solver is the classic Jacobi method, which is the fastest, but least accurate solver. The algorithm is adaptive, so will vary the step size according to how stiff the system of equations is. Specifying a minimum step size prevents the system from stalling, at the expense of accuracy when the step size reaches that minimum. Specifying a maximum step size is useful to ensure one has sufficient data points for smooth plots.

An iteration is the time between updates of the screen, increasing the number of solver steps per iteration decreases the overhead involved in updating the display, at the expense of smoothness of visual animation.



Russell Standish 2014-11-16