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* Start of the LU module, with matrix inversion already there and
fully optimized. * Even if LargeBit is set, only parallelize for large enough objects (controlled by EIGEN_PARALLELIZATION_TRESHOLD).
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@@ -29,7 +29,11 @@ template<typename T> struct ei_traits;
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template<typename Lhs, typename Rhs> struct ei_product_eval_mode;
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template<typename T> struct NumTraits;
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template<typename _Scalar, int _Rows, int _Cols, unsigned int _Flags, int _MaxRows, int _MaxCols> class Matrix;
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template<typename _Scalar, int _Rows, int _Cols,
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unsigned int _Flags = EIGEN_DEFAULT_MATRIX_FLAGS,
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int _MaxRows = _Rows, int _MaxCols = _Cols>
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class Matrix;
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template<typename ExpressionType> class Lazy;
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template<typename ExpressionType> class Temporary;
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template<typename MatrixType> class Minor;
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@@ -47,7 +51,6 @@ template<typename MatrixType> class DiagonalCoeffs;
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template<typename MatrixType> class Identity;
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template<typename MatrixType> class Map;
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template<typename Derived> class Eval;
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template<typename Derived> class EvalOMP;
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template<int Direction, typename UnaryOp, typename MatrixType> class PartialRedux;
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template<typename Scalar> struct ei_scalar_sum_op;
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@@ -70,4 +73,6 @@ template<typename Scalar> struct ei_scalar_quotient1_op;
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template<typename Scalar> struct ei_scalar_min_op;
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template<typename Scalar> struct ei_scalar_max_op;
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template<typename ExpressionType, bool CheckExistence = true> class Inverse;
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#endif // EIGEN_FORWARDDECLARATIONS_H
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@@ -37,6 +37,10 @@
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#define EIGEN_UNROLLING_LIMIT 400
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#endif
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#ifndef EIGEN_PARALLELIZATION_TRESHOLD
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#define EIGEN_PARALLELIZATION_TRESHOLD 2000
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#endif
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#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
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#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER RowMajorBit
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#else
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@@ -182,5 +182,4 @@ template<typename T> struct ei_packet_traits
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enum {size=1};
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};
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#endif // EIGEN_META_H
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