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From "Ismael Juma (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MATH-230) Implement Sparse Matrix Support
Date Sat, 06 Dec 2008 16:29:44 GMT

     [ https://issues.apache.org/jira/browse/MATH-230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ismael Juma updated MATH-230:
-----------------------------

    Attachment: IntToDoubleHashMap.java

Instead of using an IntPairToDoubleHashMap, we can use a IntToDoubleHashMap and simply do
compute (row * columnCount + column) to find the key. This means that we have one less int
in each Entry object. With this change, it starts to look like an open addressed hash map
might be better. I will work on that next.

> Implement Sparse Matrix Support
> -------------------------------
>
>                 Key: MATH-230
>                 URL: https://issues.apache.org/jira/browse/MATH-230
>             Project: Commons Math
>          Issue Type: Improvement
>    Affects Versions: 2.0
>         Environment: N/A
>            Reporter: Sujit Pal
>            Assignee: Luc Maisonobe
>            Priority: Minor
>             Fix For: 2.0
>
>         Attachments: IntPairToDoubleHashMap.java, IntToDoubleHashMap.java, patch.txt,
RealMatrixImplPerformanceTest.java, SparseRealMatrixImpl.java, SparseRealMatrixImplTest.java
>
>
> I needed a way to deal with large sparse matrices using commons-math RealMatrix, so I
implemented it. The SparseRealMatrixImpl is a subclass of RealMatrixImpl, and the backing
data structure is a Map<Point,Double>, where Point is a struct like inner-class which
exposes two int parameters row and column. I had to make some changes to the existing components
to keep the code for SparseRealMatrixImpl clean. Here are the details.
> 1) RealMatrix.java:
>    - added a new method setEntry(int, int, double) to set data into a matrix
> 2) RealMatrixImpl.java:
>    - changed all internal calls to data[i][j] to getEntry(i,j).
>    - for some methods such as add(), subtract(), premultiply(), etc, there
>      was code that checked for ClassCastException and had two versions,
>      one for a generic RealMatrix and one for a RealMatrixImpl. This has
>      been changed to have only one that operates on a RealMatrix. The 
>      result is something like auto-type casting. So if:
>        RealMatrixImpl.add(RealMatrix) returns a RealMatrixImpl
>        SparseRealMatrixImpl.add(RealMatrix) returns a SparseRealMatrixImpl
> 3) SparseRealMatrixImpl added as a subclass of RealMatrixImpl.
> 4) LUDecompositionImpl changed to use a clone of the passed in RealMatrix
>    instead of its data[][] block, and now it uses clone.getEntry(row,col)
>    calls instead of data[row][col] calls.
> 5) LUDecompositionImpl returned RealMatrixImpl for getL(), getU(), getP()
>    and solve(). It now returns the same RealMatrix impl that is passed 
>    in through its constructor for these methods.
> 6) New test for SparseRealMatrixImpl, mimics the tests in RealMatrixImplTest,
> 7) New static method to create SparseRealMatrixImpl out of a double[][] in
>    MatrixUtils.createSparseRealMatrix().
>    but using SparseRealMatrixImpl.
> 8) Verified that all JUnit tests pass.

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