# CVode¶

This class provides a connection to the Sundials (https://computation.llnl.gov/casc/sundials/main.html) solver CVode.

CVode is a variable-order, variable-step multi-step algorithm for solving ordinary differential equations of the form,

\dot{y} = f(t,y), \quad y(t_0) = y_0.

CVode includes the Backward Differentiation Formulas (BDFs) which are suitable for stiff problems and also the Adams-Moulton formulas for non-stiff systems.

## Support¶

• State events (root funtions) : True
• Step events (completed step) : True
• Time events : True

## Usage¶

Import the solver together with the correct problem:

from assimulo.solvers import CVode
from assimulo.problem import Explicit_Problem


Define the problem, such as:

def rhs(t, y): #Note that y are a 1-D numpy array.
yd = -1.0
return N.array([yd]) #Note that the return must be numpy array, NOT a scalar.

y0 = [1.0]
t0 = 1.0


Create a problem instance:

mod = Explicit_Problem(rhs, y0, t0)


Note

For complex problems, it is recommended to check the available examples and the documentation in the problem class, Explicit_Problem. It is also recommended to define your problem as a subclass of Explicit_Problem.

Warning

When subclassing from a problem class, the function for calculating the right-hand-side (for ODEs) must be named rhs and in the case with a residual function (for DAEs) it must be named res.

Create a solver instance:

sim = CVode(mod)


Modify (optionally) the solver parameters.

Parameters:

Methods:

Simulate the problem:

Information: