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60 lines
2.1 KiB
C++
60 lines
2.1 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_SELFADJOINT_PACKED_PRODUCT_H
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#define EIGEN_SELFADJOINT_PACKED_PRODUCT_H
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namespace internal {
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/* Optimized matrix += alpha * uv'
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* The matrix is in packed form.
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*
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* FIXME I always fail tests for complex self-adjoint matrices.
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*
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* ******* FATAL ERROR - PARAMETER NUMBER 6 WAS CHANGED INCORRECTLY *******
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* ******* xHPR FAILED ON CALL NUMBER:
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* 2: xHPR ('U', 1, 0.0, X, 1, AP)
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*/
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template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjLhs, bool ConjRhs>
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struct selfadjoint_packed_rank1_update;
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template<typename Scalar, typename Index, int UpLo, bool ConjLhs, bool ConjRhs>
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struct selfadjoint_packed_rank1_update<Scalar,Index,ColMajor,UpLo,ConjLhs,ConjRhs>
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{
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static void run(Index size, Scalar* mat, const Scalar* vec, Scalar alpha)
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{
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typedef Map<const Matrix<Scalar,Dynamic,1> > OtherMap;
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typedef typename conj_expr_if<ConjLhs,OtherMap>::type ConjRhsType;
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conj_if<ConjRhs> cj;
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Index offset = 0;
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for (Index i=0; i<size; ++i)
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{
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Map<Matrix<Scalar,Dynamic,1> >(mat+offset, UpLo==Lower ? size-i : (i+1))
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+= alpha * cj(vec[i]) * ConjRhsType(OtherMap(vec+(UpLo==Lower ? i : 0), UpLo==Lower ? size-i : (i+1)));
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//FIXME This should be handled outside.
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mat[offset+(UpLo==Lower ? 0 : i)] = real(mat[offset+(UpLo==Lower ? 0 : i)]);
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offset += UpLo==Lower ? size-i : (i+1);
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}
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}
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};
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template<typename Scalar, typename Index, int UpLo, bool ConjLhs, bool ConjRhs>
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struct selfadjoint_packed_rank1_update<Scalar,Index,RowMajor,UpLo,ConjLhs,ConjRhs>
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{
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static void run(Index size, Scalar* mat, const Scalar* vec, Scalar alpha)
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{
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selfadjoint_packed_rank1_update<Scalar,Index,ColMajor,UpLo==Lower?Upper:Lower,ConjRhs,ConjLhs>::run(size,mat,vec,alpha);
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}
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};
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} // end namespace internal
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#endif // EIGEN_SELFADJOINT_PACKED_PRODUCT_H
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