get_conditionally_linear_system function¶
(Shortest import: from brian2.stateupdaters.exponential_euler import get_conditionally_linear_system)
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brian2.stateupdaters.exponential_euler.
get_conditionally_linear_system
(eqs, variables=None)[source]¶ Convert equations into a linear system using sympy.
Parameters: eqs :
Equations
The model equations.
Returns: coefficients : dict of (sympy expression, sympy expression) tuples
For every variable x, a tuple (M, B) containing the coefficients M and B (as sympy expressions) for M * x + B
Raises
ValueError
- If one of the equations cannot be converted into a M * x + B form.
Examples
>>> from brian2 import Equations >>> eqs = Equations(""" ... dv/dt = (-v + w**2) / tau : 1 ... dw/dt = -w / tau : 1 ... """) >>> system = get_conditionally_linear_system(eqs) >>> print(system['v']) (-1/tau, w**2.0/tau) >>> print(system['w']) (-1/tau, 0)