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Diffstat (limited to 'extern/Eigen3/Eigen/src/OrderingMethods/Amd.h')
-rw-r--r--extern/Eigen3/Eigen/src/OrderingMethods/Amd.h6
1 files changed, 1 insertions, 5 deletions
diff --git a/extern/Eigen3/Eigen/src/OrderingMethods/Amd.h b/extern/Eigen3/Eigen/src/OrderingMethods/Amd.h
index ce04852b872..41b4fd7e392 100644
--- a/extern/Eigen3/Eigen/src/OrderingMethods/Amd.h
+++ b/extern/Eigen3/Eigen/src/OrderingMethods/Amd.h
@@ -2,10 +2,6 @@
// for linear algebra.
//
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
/*
@@ -86,6 +82,7 @@ Index cs_tdfs(Index j, Index k, Index *head, const Index *next, Index *post, Ind
/** \internal
+ * \ingroup OrderingMethods_Module
* Approximate minimum degree ordering algorithm.
* \returns the permutation P reducing the fill-in of the input matrix \a C
* The input matrix \a C must be a selfadjoint compressed column major SparseMatrix object. Both the upper and lower parts have to be stored, but the diagonal entries are optional.
@@ -94,7 +91,6 @@ template<typename Scalar, typename Index>
void minimum_degree_ordering(SparseMatrix<Scalar,ColMajor,Index>& C, PermutationMatrix<Dynamic,Dynamic,Index>& perm)
{
using std::sqrt;
- typedef SparseMatrix<Scalar,ColMajor,Index> CCS;
int d, dk, dext, lemax = 0, e, elenk, eln, i, j, k, k1,
k2, k3, jlast, ln, dense, nzmax, mindeg = 0, nvi, nvj, nvk, mark, wnvi,