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== Matrix Package ==
 The Matrix Package for Map/Reducebased Parallel Matrix Computations will be useful for
LargeScale Numeric Analysis and Data Mining which need the computation system of the Inverse
Matrix (e.g. linear regression, PCA, SVM, ..., etc).
+ The Matrix Package for Map/Reducebased Parallel Matrix Computations will be useful for
LargeScale Numeric Analysis and Data Mining which need the computation system of the Inverse
Matrix (e.g. linear regression, PCA, SVM, ..., etc) and many scientific computations.
Generally, The current sharedmemory based parallel matrix solution provides a scalable
and high performance matrix operations, but, matrix resources can't be scalable. But, Using
Hbase's 2 dimensional Row and Column(Qualifier) space, we are able to store large sparse
matrix. Also, autopartitioned sparsity substructure will be efficiently managed and serviced
by Hbase. Row or Column operations can be done in linear time and algorithms such as structured
Gaussian elimination or iterative methods run in O(~the number of nonzero elements in the
matrix~ / ~number of mappers (processors/cores)~) time on Hadoop Map/Reduce.
