Entromatica is a library for constructing, simulating and analyzing markov chains.
It is split into two main parts: the
simulation module and the
simulation module contains primarily the
Simulation struct, which takes
an initial state and a
StateTransitionGenerator. This generator is a function
that takes a state and returns a list of the next states in the markov chain
with their respective relative probabilities.
models module contains a collection of structs and functions that try
to make constructing the state transition generator easier. Currently this
includes only a single model:
// This is a simple onedimensional random walk use *; use Arc; // The initial state. It has to be Hash + Clone + Send + Sync + PartialEq + Eq + Debug let initial_state: i32 = 0; // The state transition generator. The simulation panics if the probabilities don't sum up to 1.0 let state_transition_generator = new; let mut simulation = new; // The Shannon-entropy at the given time assert_eq!; simulation.next_step; assert_eq!;
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- Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
at your option.
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