From: John Phillips (phillips_at_[hidden])
Date: 2007-07-31 08:30:30
My apologies for the delay in this posting, but the review period for
the Time Series library submitted by Eric Neibler runs from Monday, July
30 until Wednesday, August 8. From the documentation:
The purpose of the Boost.Time_series library is to provide data
structures, numerical operators and algorithms to operate on time
series. A time series is a series of data points, sampled at regular
intervals. The library provides numerous time series containers, each
with different time/space trade-offs, and a hierarchy of concepts which
allow the time series to be manipulated generically. The library also
provides operators and algorithms which use the generic interfaces to
perform calculations on time series and accumulate various statistics
Boost.Time_series does not yet contain all the algorithms one might
want in order to perform full time series analysis. However, the key
contribution of Boost.Time_series is the framework and the rich
hierarchy of concepts with which such algorithms can be written to
efficiently and generically process series of data with widely
divergent in-memory representations and performance characteristics.
Boost.Time_series provides several such series containers, as well as
mechanisms for defining additional series types and algorithms that fit
within the framework. Some examples of series types that are provided
are: dense, sparse, piecewise constant, heaviside and others, as well
as adaptors for providing shifted, scaled and clipped series views.
Please notice that the Time Series library uses some features of
boost that will be part off the 1.35 release, but are not I the 1.34.1
release. For testing, you will need to either test against CVS Head
(Which will not be available for much of Tuesday.) or use backports
provided in the time series download files to update your 1.34.x
The library is available from
or by following the link provided on the review schedule.
Thanks to all for your time and effort on this review.
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