Colt 1.2.0

## Uses of Interface
cern.colt.function.ObjectFunction

Packages that use ObjectFunction
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 ObjectFunction in cern.colt.matrix

Methods in cern.colt.matrix with parameters of type ObjectFunction
`Object` | `ObjectMatrix3D.aggregate(ObjectObjectFunction aggr, ObjectFunction f)` Applies a function to each cell and aggregates the results.
`ObjectMatrix3D` | `ObjectMatrix3D.assign(ObjectFunction function)` Assigns the result of a function to each cell; `x[slice,row,col] = function(x[slice,row,col])`.
`Object` | `ObjectMatrix2D.aggregate(ObjectObjectFunction aggr, ObjectFunction f)` Applies a function to each cell and aggregates the results.
`ObjectMatrix2D` | `ObjectMatrix2D.assign(ObjectFunction function)` Assigns the result of a function to each cell; `x[row,col] = function(x[row,col])`.
`Object` | `ObjectMatrix1D.aggregate(ObjectObjectFunction aggr, ObjectFunction f)` Applies a function to each cell and aggregates the results.
`ObjectMatrix1D` | `ObjectMatrix1D.assign(ObjectFunction function)` Assigns the result of a function to each cell; `x[i] = function(x[i])`.

Uses of ObjectFunction in cern.colt.matrix.impl

Methods in cern.colt.matrix.impl with parameters of type ObjectFunction
`ObjectMatrix2D` | `DenseObjectMatrix2D.assign(ObjectFunction function)` Assigns the result of a function to each cell; `x[row,col] = function(x[row,col])`.
`ObjectMatrix1D` | `DenseObjectMatrix1D.assign(ObjectFunction function)` Assigns the result of a function to each cell; `x[i] = function(x[i])`.

Colt 1.2.0

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