* 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
into an AbstractStoreUnivariate class which take responsibility for
all statistical calculations. AbstractStoreUnivariate is implemented by
two classes:
* StoreUnivariateImpl - This class uses a ExpandableDoubleArray for
internal storage. This class is a more efficient class in terms
of storage and cycles for users who are interested in gathering statistics
not available in the UnivariateImpl implementation.
* ListUnivariateImpl - This class is for a situation where a user might
wish to maintain a List of numeric objects outside of a StoreUnivariate
instance. We still need to add serious error checking in the absence of
1.5's generics, but this implementation will work with any list that
contains Number objects - (BigDecimal, BigInteger, Byte, Double, Float,
Integer, Long, Short). This implementation ultimately transforms all
numeric objects into double primitives via Number.doubleValue().
Becuase AbstractStoreUnivariate does not hold on to any state, a user
can add values through the Univariate.addValue() function OR one can
directly manipulate the contents of the List directly.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140830 13f79535-47bb-0310-9956-ffa450edef68
interface of Univariate was extracted in an interface of the same name.
Univariate, an interface, is now implemented by UnivariateImpl which contains
all code originally present in the original Univariate implementation.
* StoredUnivariate is an interface which extends Univariate and adds
measures not available in the superinterface such as mode, kurtosis, and skew
* StoredUnivariateImpl provides an implementation which uses the
ExpandableDoubleArray for internal storage. Calculations are performed
on demand *each* time a particular measure is required no state is
maintained by this implementation.
* Univariate provided methods addValue(int), addValue(float), addValue(long).
There functions were removed as no cast is required - all of these
assignments are widening conversions - no cast required
* Removed the name property from Univariate - property not relevant to
univariate statistics
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140828 13f79535-47bb-0310-9956-ffa450edef68
2. Make all currently unimplemented methods throw UnsupportedOperationException
3. Add solve() method to RealMatrix interface, representing vector
solution to AX = B, where B is the parameter and A is *this.
Phil
Obtained from: Phil S.
Submitted by: Phil S.
Reviewed by: Tim O.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140826 13f79535-47bb-0310-9956-ffa450edef68
Tim O'Brien
Robert Burrell Donkin
No Author