[SciPy-User] possible bug with scipy.integrate.ode

Flavio Coelho fccoelho@gmail....
Fri Nov 4 07:35:01 CDT 2011


I am a long time user of scipy.integrate.odeint for solving ODEs. Today I
decided to test the "other solver" in scipy: scipy.integrate.ode I am
getting strange results for model below:

def fun(y,t):
Logistic model
a = .5
k = 1000.0
 return a*(1-y/k)*y

r = ode(fun).set_integrator('vode',method='bdf', with_jacobian=False)
res = np.zeros(10000)
i = 0
while r.successful() and r.t < 100:
res[i] = r.y
 i += 1

odeint solves this correctly and returns the caracteristic logistic curve
which maxes out at 1000. ode, however, keeps growing beyond 1000.

I may be doing something stupid, since I am not familiar with the usage of
ode. Or there maybe a bug in ode.

I'll just stay away from ode for now, but I thought it might be a good Idea
to report this.

Flávio Codeço Coelho
+55(21) 3799-5567
Escola de Matemática Aplicada
Fundação Getúlio Vargas
Rio de Janeiro - RJ
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