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I

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.
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