Colt 1.2.0

## Uses of Interface
cern.colt.matrix.doublealgo.Statistic.VectorVectorFunction

Packages that use Statistic.VectorVectorFunction
cern.colt.matrix.doublealgo: Double matrix algorithms such as print formatting, sorting, partitioning and statistics.

Uses of Statistic.VectorVectorFunction in cern.colt.matrix.doublealgo

Fields in cern.colt.matrix.doublealgo declared as Statistic.VectorVectorFunction
`static Statistic.VectorVectorFunction` `Statistic.BRAY_CURTIS` Bray-Curtis distance function; `Sum( abs(x[i]-y[i]) ) / Sum( x[i]+y[i] )`.
`static Statistic.VectorVectorFunction` `Statistic.CANBERRA` Canberra distance function; `Sum( abs(x[i]-y[i]) / abs(x[i]+y[i]) )`.
`static Statistic.VectorVectorFunction` `Statistic.EUCLID` Euclidean distance function; `Sqrt(Sum( (x[i]-y[i])^2 ))`.
`static Statistic.VectorVectorFunction` `Statistic.MANHATTAN` Manhattan distance function; `Sum( abs(x[i]-y[i]) )`.
`static Statistic.VectorVectorFunction` `Statistic.MAXIMUM` Maximum distance function; `Max( abs(x[i]-y[i]) )`.

Methods in cern.colt.matrix.doublealgo with parameters of type Statistic.VectorVectorFunction
`static void` `Statistic.demo3(Statistic.VectorVectorFunction norm)` Demonstrates usage of this class.
`static DoubleMatrix2D` `Statistic.distance(DoubleMatrix2D matrix, Statistic.VectorVectorFunction distanceFunction)` Constructs and returns the distance matrix of the given matrix.

Colt 1.2.0

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