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    AuD
    
   Lecture 'Algorithmen und Datenstrukturen' (code examples) 
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Public Member Functions | |
| void | testMatrix () | 
| void | testSymmatrixMatrix () | 
Static Public Member Functions | |
| static void | main (String args[]) | 
Definition at line 9 of file SparseMatrixTest.java.
      
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  static | 
Definition at line 123 of file SparseMatrixTest.java.
| void aud.test.SparseMatrixTest.testMatrix | ( | ) | 
Definition at line 12 of file SparseMatrixTest.java.
References aud.Vector< T >.at(), aud.graph.matrix.SparseMatrixCS< T >.columnDegree(), aud.graph.matrix.SparseMatrixCS< T >.get(), aud.graph.matrix.SparseMatrixCS< T >.getColumnEntries(), aud.graph.matrix.SparseMatrixCS< T >.getColumnRowIndices(), aud.graph.matrix.SparseMatrixCS< T >.getMinColumnIndex(), aud.graph.matrix.SparseMatrix< T >.getMinRowIndex(), aud.graph.matrix.SparseMatrixCS< T >.getNumColumns(), aud.graph.matrix.SparseMatrix< T >.getNumRows(), aud.graph.matrix.SparseMatrix< T >.getRowColumnIndices(), aud.graph.matrix.SparseMatrix< T >.getRowEntries(), aud.graph.matrix.SparseMatrix< T >.isSymmetricMatrix(), aud.graph.matrix.SparseMatrixCS< T >.nnz(), aud.graph.matrix.SparseMatrix< T >.rowDegree(), aud.graph.matrix.SparseMatrix< T >.set(), and aud.Vector< T >.size().
 Here is the call graph for this function:| void aud.test.SparseMatrixTest.testSymmatrixMatrix | ( | ) | 
Definition at line 69 of file SparseMatrixTest.java.
References aud.Vector< T >.at(), aud.graph.matrix.SparseMatrixCS< T >.columnDegree(), aud.graph.matrix.SparseMatrixCS< T >.get(), aud.graph.matrix.SparseMatrixCS< T >.getColumnEntries(), aud.graph.matrix.SparseMatrixCS< T >.getColumnRowIndices(), aud.graph.matrix.SparseMatrixCS< T >.getMinColumnIndex(), aud.graph.matrix.SparseMatrix< T >.getMinRowIndex(), aud.graph.matrix.SparseMatrixCS< T >.getNumColumns(), aud.graph.matrix.SparseMatrix< T >.getNumRows(), aud.graph.matrix.SparseMatrix< T >.getRowColumnIndices(), aud.graph.matrix.SparseMatrix< T >.getRowEntries(), aud.graph.matrix.SparseMatrix< T >.isSymmetricMatrix(), aud.graph.matrix.SparseMatrixCS< T >.nnz(), and aud.graph.matrix.SparseMatrix< T >.set().
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