The attached patch includes the following improvements to Univariate and
UnivariateImpl:
* Improved efficiency of min, max and product maintenance when windowSize is
limited by incorporating suggestion posted to commons-dev by Brend Worden
(added author credit). Thanks, Brent!
* Added javadoc specifying NaN contracts for all statistics, definitions for
geometric and arithmetic means.
* Made some slight modifications to UnivariateImpl to make it consistent with
NaN contracts
* All interface documentation moved to Univariate. The interface specification
includes the NaN semantics and a first attempt at clealy defining exactly
what "rolling" means and how this effects what statistics are defined when.
* Added test cases to verify that min, max, product are correctly maintained
when "rolling" and to verify that NaN contracts are satisfied.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140857 13f79535-47bb-0310-9956-ffa450edef68
EmpiricalDistribution -- represents an empirical probability distribution and
supports generation of data values that are "like" values in an input file
without making any assumptions about the functional form of the probability
distribution that the data come from. This is useful in simulation
applications where historical data about component performance are
available but do not follow standard distributions (or any application that
requires random data generation from an empirical distribution). Also
generates data for grouped frequency histograms based on the input file.
ValueServer -- a wrapper for RandomData and EmpiricalDistribution that
generates values in each of the following modes:
* DIGEST_MODE -- uses an empirical distribution
* REPLAY_MODE -- replays data from an input file
* UNIFORM_MODE -- generates uniformly distributed random values
* EXPONENTIAL_MODE -- generates exponentially distributed random
values
* GAUSSIAN_MODE -- generates Gaussian distributed random values
* CONSTANT_MODE -- returns the same value every time.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140848 13f79535-47bb-0310-9956-ffa450edef68
that reuses an array of fixed length. This classes was added to an efficient
rolling mechanism.
FixedDoubleArray was influenced by discussions on the commons-dev list and
patches submitted by Mark Diggory.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140836 13f79535-47bb-0310-9956-ffa450edef68
* This class now supports
the ability to move the starting index of the internal element array. This
allows one to move the beginning of the element array, and form a sort of
"window", this will come into play when we want to provide moving
averages, or "rolling".
* Added an addElementRolling(double v) - this will increment the startIndex
and add the element to the end of the internal element array
* brought the Clover test cases up to 100% for this class
Added a class ContractableDoubleArray:
* This is an extension of ExpandableDoubleArray - it addes a configuration
parameter contractionCriteria. Essential if the contractionCriteria is
2.0f we commit to never having the internal storage array provide more
than 2.0 times the storage capacity needed. Once the internal
storage array exceed this measurement, the internal storage array is
pruned to the size of the internal element array.
Also, my IDE scolded me for some ununsed imports in ListUnivariateImpl, they
have been removed.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140831 13f79535-47bb-0310-9956-ffa450edef68
Tim O'Brien
Robert Burrell Donkin