Colt 1.2.0

## Uses of Interfacecern.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.

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