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Correct reference to iterative scaling method
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@ -60,7 +60,8 @@ namespace Eigen {
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*
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* \NOTE Unlike the initial SuperLU implementation, there is no step to equilibrate the matrix.
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* For badly scaled matrices, this step can be useful to reduce the pivoting during factorization.
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* If this is the case for your matrices, you can try the basic scaling method in \ref Scaling.
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* If this is the case for your matrices, you can try the basic scaling method at
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* "unsupported/Eigen/src/IterativeSolvers/Scaling.h"
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*
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* \tparam _MatrixType The type of the sparse matrix. It must be a column-major SparseMatrix<>
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* \tparam _OrderingType The ordering method to use, either AMD, COLAMD or METIS
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