example3.1: Sample solution trajectories from a two-dimensional ODE...
In qiuxing/ode.ident: Identifiability Analysis for Linear ODE systems

This dataset contains A sample ODE system (A2), two initial conditions (x0.A and x0.B), and the two correponding sets of solution trajectories (yy1, starts with x0.A; yy2, starts with x0.B). It is called "Example 3.1" in our manuscript.

1	data(example3.1)

`A2`	A 2x2 matrix which describes a bivariate linear ODE system.
`tt`	The set of 101 time points.
`x0.A`	The first initial condition. A2 is practically identifiable at `x0.A`.
`x0.B`	The second initial condition. A2 is not practically identifiable at `x0.B`.
`yy1`	The first set of descrete observations of the solution trajectories starting at `x0.A`, superimposed with small measurement errors.
`yy2`	The second set of descrete observations of the solution trajectories starting at `x0.B`, superimposed with small measurement errors.

X. Qiu, T. Xu, B. Soltanalizadeh, and H. Wu. (2020+) Mathematical and Practical Identifiability of High-dimensional Linear Ordinary Differential Equation Systems. Submitted.

qiuxing/ode.ident documentation built on Sept. 30, 2020, 11:17 a.m.