[boost] Time Series review - 7/30-8/8

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 
about them.

  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 
installation.

   The library is available from

http://boost-consulting.com/vault/index.php?directory=Math%20-%20Numerics

or by following the link provided on the review schedule.

   Thanks to all for your time and effort on this review.

                        John Phillips
                        Review Manager