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| 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]). | 
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