Colt 1.2.0

## Uses of Class
hep.aida.bin.DynamicBin1D

Packages that use DynamicBin1D
cern.colt.matrix.doublealgo: Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
hep.aida.bin: Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.

Uses of DynamicBin1D in cern.colt.matrix.doublealgo

Methods in cern.colt.matrix.doublealgo that return DynamicBin1D
`static DynamicBin1D` `Statistic.bin(DoubleMatrix1D vector)` Fills all cell values of the given vector into a bin from which statistics measures can be retrieved efficiently.

Uses of DynamicBin1D in hep.aida.bin

Methods in hep.aida.bin that return DynamicBin1D
`DynamicBin1D` `DynamicBin1D.sampleBootstrap(DynamicBin1D other, int resamples, RandomEngine randomGenerator, BinBinFunction1D function)` Generic bootstrap resampling.

Methods in hep.aida.bin with parameters of type DynamicBin1D
`double` `BinFunction1D.apply(DynamicBin1D x)` Applies a function to one bin argument.
`double` `BinBinFunction1D.apply(DynamicBin1D x, DynamicBin1D y)` Applies a function to two bin arguments.
`double` `DynamicBin1D.correlation(DynamicBin1D other)` Returns the correlation of two bins, which is `corr(x,y) = covariance(x,y) / (stdDev(x)*stdDev(y))` (Pearson's correlation coefficient).
`double` `DynamicBin1D.covariance(DynamicBin1D other)` Returns the covariance of two bins, which is `cov(x,y) = (1/size()) * Sum((x[i]-mean(x)) * (y[i]-mean(y)))`.
`DynamicBin1D` `DynamicBin1D.sampleBootstrap(DynamicBin1D other, int resamples, RandomEngine randomGenerator, BinBinFunction1D function)` Generic bootstrap resampling.

Colt 1.2.0

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