markov

package
v11.0.0 Latest Latest
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 Go to latest Published: Aug 29, 2022 License: Apache-2.0 Imports: 3 Imported by: 0

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Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CreateTransitionMatrix 

func CreateTransitionMatrix(weights [][]int) (simulation.TransitionMatrix, error)

CreateTransitionMatrix creates a transition matrix from the provided weights. TODO: Provide example usage

func GetMemberOfInitialState 

func GetMemberOfInitialState(r *rand.Rand, weights []int) int

GetMemberOfInitialState takes an initial array of weights, of size n. It returns a weighted random number in [0,n).

Types

type TransitionMatrix 

type TransitionMatrix struct {
	// contains filtered or unexported fields
}

TransitionMatrix is _almost_ a left stochastic matrix. It is technically not one due to not normalizing the column values. In the future, if we want to find the steady state distribution, it will be quite easy to normalize these values to get a stochastic matrix. Floats aren't currently used as the default due to non-determinism across architectures

func (TransitionMatrix) NextState 

func (t TransitionMatrix) NextState(r *rand.Rand, i int) int

NextState returns the next state randomly chosen using r, and the weightings provided in the transition matrix.

Source Files

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