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H

H(double[]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates the entropy of a PMF array.
H(ProbDist) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates the entropy of a probability distribution.
H(double[], double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates the conditional entropy of a channel matrix given an input PMF.
H(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.ShannonEntropy
Calculates the conditional entropy of a channel given an input probability distribution.
hasSufficientInputs() - Method in class bham.leakiest.Observations
Tests whether the number of unique inputs recorded in this Observations object is sufficient for estimating mutual information.
hasSufficientOutputs() - Method in class bham.leakiest.Observations
Tests whether the number of unique outputs recorded in this Observations object is sufficient for estimating mutual information.
hasSufficientSamplesForMEL(Observations, int) - Static method in class bham.leakiest.infotheory.MinEntropy
Tests whether the sample size recorded in this Observations object is sufficient for estimating min-entropy leakage.
hasSufficientSamplesForMEL() - Method in class bham.leakiest.Observations
Tests whether the sample size recorded in this Observations object is sufficient for estimating min-entropy leakage.
hasSufficientSamplesForMI() - Method in class bham.leakiest.Observations
Tests whether the sample size recorded in this Observations object is sufficient for estimating mutual information.
HgMin(ProbDist, GainFunction, Set<String>) - Static method in class bham.leakiest.CompositionalEstimate
Returns Hg^min(pd) = - log min { pd[x] g(w, x) | x in X, w in W, pd[x] g(w, x) != 0 }.
HMinInf(ProbDist) - Static method in class bham.leakiest.CompositionalEstimate
Returns H^min(pd) = - log min { pd[x] | x in support(pd) }.
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