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Uses of Class
cern.colt.matrix.impl.AbstractMatrix1D

Packages that use AbstractMatrix1D
cern.colt.matrix Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes. 
cern.colt.matrix.impl Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix, without subsetting or supersetting. 
 

Uses of AbstractMatrix1D in cern.colt.matrix
 

Subclasses of AbstractMatrix1D in cern.colt.matrix
 class DoubleMatrix1D
          Abstract base class for 1-d matrices (aka vectors) holding double elements.
 class ObjectMatrix1D
          Abstract base class for 1-d matrices (aka vectors) holding Object elements.
 

Uses of AbstractMatrix1D in cern.colt.matrix.impl
 

Subclasses of AbstractMatrix1D in cern.colt.matrix.impl
 class DenseDoubleMatrix1D
          Dense 1-d matrix (aka vector) holding double elements.
 class DenseObjectMatrix1D
          Dense 1-d matrix (aka vector) holding Object elements.
 class SparseDoubleMatrix1D
          Sparse hashed 1-d matrix (aka vector) holding double elements.
 class SparseObjectMatrix1D
          Sparse hashed 1-d matrix (aka vector) holding Object elements.
 

Methods in cern.colt.matrix.impl with parameters of type AbstractMatrix1D
 void AbstractMatrix1D.checkSize(AbstractMatrix1D B)
          Sanity check for operations requiring two matrices with the same size.
static String AbstractFormatter.shape(AbstractMatrix1D matrix)
          Returns a short string representation describing the shape of the matrix.
 

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