Steady State AnalysisΒΆ

The dynamics of a biochemical network is described by the system equation

\frac{d}{dt}\mathbf{s}(t) = \mathbf{N} \mathbf{v}(\mathbf{s}(t),\mathbf{p},t),

where \mathbf{s} is the vector of species concentrations, \mathbf{p} is a vector of time independent parameters, and t is time. The steady state is the solution to the network equation when all the rates of change zero. That is the concentrations of the floating species, \mathbf{s} that satisfy:

\mathbf{N} \mathbf{v}(\mathbf{s}(t),\mathbf{p},t) = 0

For example you can use steadyStateSelections to select which value getSteadyStateValues should retrieve:

>>> rr.steadyStateSelections = ['S1']
>>> rr.getSteadyStateValues ()
array([ 0.54314239])

The following methods deal wth steady state analysis:

RoadRunner.steadyStateSelections
RoadRunner.steadyState() Attempt to evaluate the steady state for the model.
RoadRunner.getSteadyStateValues() Performs a steady state calculation (evolves the system to a steady state), then calculates and returns the set of values specifed by the steady state selections.

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