|
Class Summary |
| AggregatingHistogram<T,D> |
Class for the typical case of an aggregating (e.g. counting, averaging)
Histogram. |
| AggregatingHistogram.Adapter<T,D> |
Adapter class for an AggregatingHistogram |
| ConvexHull2D |
Classes to compute the convex hull of a set of points in 2D, using the
classic Grahams scan. |
| DoubleMinMax |
Class to find the minimum and maximum double values in data. |
| FlexiHistogram<T,D> |
Histogram with flexible size, guaranteed to be in [bin, 2*bin[ |
| FlexiHistogram.Adapter<T,D> |
Adapter interface to specify bin creation, data caching and combination. |
| MathUtil |
A collection of math related utility functions. |
| Mean |
Compute the mean using a numerically stable online algorithm. |
| MeanVariance |
Do some simple statistics (mean, variance) using a numerically stable online
algorithm. |
| MinMax<T extends Comparable<? super T>> |
Class to find the minimum and maximum double values in data. |
| ReplacingHistogram<T> |
Class to manage a simple Histogram. |
| ReplacingHistogram.Adapter<T> |
Interface to plug in a data type T. |
Mathematical operations and utilities used throughout the framework.
