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Doc fix (description of release 2.2 was missing). 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1097502 13f79535-47bb-0310-9956-ffa450edef68
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Gilles Sadowski 2011-04-28 15:23:34 +00:00
parent 8af698213b
commit 40daf0a0d5
1 changed files with 28 additions and 2 deletions
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@ -52,7 +52,7 @@ The <action> type attribute can be add,update,fix,remove.
If the output is not quite correct, check for invisible trailing spaces!
-->
<release version="3.0" date="TBD" description="TBD">
<action dev="erans" type="fix" issue="MATH-562">
<action dev="erans" type="add" issue="MATH-562">
Added an interpolator adapter for data with known period.
</action>
<action dev="luc" type="add" issue="MATH-541" >
@ -305,7 +305,33 @@ The <action> type attribute can be add,update,fix,remove.
"AbstractScalarDifferentiableOptimizer" inherits from "AbstractScalarOptimizer".
</action>
</release>
<release version="2.2" date="TBD" description="TBD">
<release version="2.2" date="2011-03-02" description="
This is primarily a maintenance release, but it also includes new features and enhancements.
Users of version 2.1 are encouraged to upgrade to 2.2, as this release includes some important bug fixes.
See the detailed list of changes below for full description of all bug fixes and enhancements.
This release contains some minor compatibility breaks with version 2.1 in some internal classes but none
of them are in APIs likely to be accessed by user code:
the MessagesResources_fr class has been removed (replaced by a properties file);
the arguments of the EventState.reinitializeBegin method have changed;
some protected fields which already had public accessors in AbstractStepInterpolator have been replaced.
There is a behavior change that users of the multiple regression classes should be aware of. In version
2.1, there was no way to estimate models without intercept terms, and, while this was not clear from
the documentation, design (X) matrices needed to include initial unitary columns. In 2.2, initial
unitary columns are not necessary and whether or not models include intercept terms is configurable.
See the change log and javadoc for the classes in org.apache.commons.math.stat.regression for details.
The major new features are:
a new FastMath class, both faster, more accurate and with a few additional functions than StrictMath and Math;
a new package for floating point arbitrary precision computing, including high level functions like exponential, sine, square root ...;
new linear and tricubic interpolators;
a new Gaussian curve fitter;
a new erfc function;
characteristic support for distributions;
a set of new Well Equidistributed Long-period Linear (WELL) random generators.">
<action dev="luc" type="fix" issue="MATH-498">
FastMath is not an exact replacement for StrictMath
(partially fixed) added scalb(double, int), scalb(float, int)