All Classes and Interfaces

Class	Description
Bucket<T>	Represents a bucket of Point points being downsampled to a single point by LTTB.
BucketizationStrategy	Selects the bucket-size strategy used to divide the input series before the LTTB triangle-selection step.
DoublePoint	Basic Point implementation backed by double values.
Downsampling	Entry point for all downsampling algorithms provided by this library.
LargestTriangleThreeBuckets	Largest-Triangle Three-Buckets (LTTB) time-series downsampling algorithm.
OnePassBucketizer	Utility class that divides the input list of Point points into Bucket buckets as required by the LTTB algorithm.
PerceptuallyImportantPoints	Perceptually Important Points (PIP) time-series downsampling algorithm.
Point	Defines the properties of two-dimensional points that can be processed by downsampling algorithms in this library.
RamerDouglasPeucker	Ramer-Douglas-Peucker (RDP) time-series downsampling algorithm.
Triangle<T>	Represents the maximum-area triangle defined by three consecutive Bucket buckets.