Eigen::SimplicialCholesky
          
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| void | analyzePattern (const MatrixType &a) | 
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| SimplicialCholesky & | compute (const MatrixType &matrix) | 
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| void | factorize (const MatrixType &a) | 
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 |  Public Member Functions inherited from Eigen::SimplicialCholeskyBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > > | 
 
| ComputationInfo | info () const | 
 
|  | Reports whether previous computation was successful. More... 
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| const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & | permutationP () const | 
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| const PermutationMatrix< Dynamic, Dynamic, StorageIndex > & | permutationPinv () const | 
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| SimplicialCholesky< _MatrixType, _UpLo, _Ordering > & | setShift (const RealScalar &offset, const RealScalar &scale=1) | 
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|  | SimplicialCholeskyBase () | 
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 |  Public Member Functions inherited from Eigen::SparseSolverBase< SimplicialCholesky< _MatrixType, _UpLo, _Ordering > > | 
 
| const Solve< SimplicialCholesky< _MatrixType, _UpLo, _Ordering >, Rhs > | solve (const MatrixBase< Rhs > &b) const | 
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| const Solve< SimplicialCholesky< _MatrixType, _UpLo, _Ordering >, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const | 
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|  | SparseSolverBase () | 
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   analyzePattern()
    template<typename _MatrixType , int _UpLo, typename _Ordering > 
   
 Performs a symbolic decomposition on the sparcity of matrix.
 This function is particularly useful when solving for several problems having the same structure.
 
- See also
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factorize() 
     compute()
    template<typename _MatrixType , int _UpLo, typename _Ordering > 
   
 Computes the sparse Cholesky decomposition of matrix 
      factorize()
    template<typename _MatrixType , int _UpLo, typename _Ordering > 
   
 Performs a numeric decomposition of matrix 
 The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
 
- See also
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analyzePattern() 
    
The documentation for this class was generated from the following file: