pybertini.tracking

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Notes

Trackers in Bertini2 are stateful objects, that refer to a system they are tracking, hold their specific settings, and have a notion of current time and space value.

Here are some particular classes and functions to pay attention to:

• pybertini.tracking.AMPTracker
• pybertini.tracking.DoublePrecisionTracker
• pybertini.tracking.MultiplePrecisionTracker

Here are the implemented ODE predictors you can choose from:

• pybertini.tracking.Predictor

Calls to track_path() return a pybertini.tracking.SuccessCode.

Auto-generated docs

pybertini.tracking.config