- I(double[], double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates mutual information between
an input PMF and a channel matrix.
- I(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates mutual information between
an input PMF and a channel matrix.
- identityGainFunction(String, String) - Method in class bham.leakiest.infotheory.GainFunction
-
Returns the gain value of the identity gain function
given a guess and an input.
- indexOfValueDrawnFrom() - Method in class bham.leakiest.infotheory.RandomSample
-
Draws and returns the index of a single value randomly from a given array of PMF.
- InfoTheory - Class in bham.leakiest.infotheory
-
This is a library of useful information theory definitions.
- InfoTheory() - Constructor for class bham.leakiest.infotheory.InfoTheory
-
- isEqual(State) - Method in class bham.leakiest.State
-
Checks whether the two state are equivalent,
- isJointlySupported() - Method in class bham.leakiest.ProbDist
-
Check whether this probabiltiy distribution is jointly supported,
i.e., p(x_1, ...
- isWellDefined(double) - Method in class bham.leakiest.ProbDist
-
Decides whether the probability distribution is well-defined or not.
- isWellFormed(double) - Method in class bham.leakiest.Channel
-
Checks whether this channel is well-formed or not.