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Give the axe to the aliasing system.
Improve the evaluation system instead.
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@ -12,9 +12,9 @@ int main(int, char **)
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m(1,1) = 4;
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n = m;
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n = eval(n*n);
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n = eval(n*n+n);
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cout << n << endl;
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#if 0
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cout << "Here is a 2x2 matrix m:" << endl << m << endl;
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cout << "Let us now build a 4x4 matrix m2 by assembling together four 2x2 blocks." << endl;
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Matrix<double,4,4> m2; // dynamic matrix with initial size 4x4 and uninitialized entries
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@ -50,10 +50,9 @@ int main(int, char **)
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<< "overwritten _while_ the matrix product m * m is being computed." << endl
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<< "This is the counterpart of eliminating temporary objects!" << endl
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<< "Anyway, if you want to store m * m into m, you can do this:" << endl
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<< " m.alias() = m * m;" << endl;
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<< " m = eval(m * m);" << endl;
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m = m_save;
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m.alias() = m * m;
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m = eval(m * m);
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cout << "And m is now:" << endl << m << endl << "as was expected." << endl;
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#endif
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return 0;
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}
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@ -36,6 +36,9 @@ template<typename MatrixType> class MatrixBlock
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typedef typename MatrixType::Ref MatRef;
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friend class EigenBase<Scalar, MatrixBlock<MatrixType> >;
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typedef MatrixBlock Ref;
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static const int RowsAtCompileTime = DynamicSize,
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ColsAtCompileTime = DynamicSize;
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MatrixBlock(const MatRef& matrix,
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int startRow, int endRow,
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@ -125,7 +125,6 @@ EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
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} // namespace Eigen
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#include "MatrixAlias.h"
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#include "MatrixOps.h"
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#include "ScalarOps.h"
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#include "RowAndCol.h"
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@ -1,84 +0,0 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#ifndef EIGEN_MATRIXALIAS_H
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#define EIGEN_MATRIXALIAS_H
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namespace Eigen
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{
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template<typename MatrixType> class MatrixAlias
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: public EigenBase<typename MatrixType::Scalar, MatrixAlias<MatrixType> >
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{
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public:
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typedef typename MatrixType::Scalar Scalar;
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typedef MatrixRef<MatrixAlias> Ref;
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typedef EigenBase<typename MatrixType::Scalar, MatrixAlias> Base;
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friend class EigenBase<typename MatrixType::Scalar, MatrixAlias>;
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MatrixAlias(MatrixType& matrix) : m_aliased(matrix), m_tmp(matrix) {}
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MatrixAlias(const MatrixAlias& other) : m_aliased(other.m_aliased), m_tmp(other.m_tmp) {}
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~MatrixAlias()
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{
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m_aliased = m_tmp;
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}
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INHERIT_ASSIGNMENT_OPERATORS(MatrixAlias)
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private:
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Ref _ref() const
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{
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return Ref(*const_cast<MatrixAlias*>(this));
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}
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int _rows() const { return m_tmp.rows(); }
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int _cols() const { return m_tmp.cols(); }
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Scalar& _write(int row, int col)
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{
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return m_tmp.write(row, col);
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}
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Scalar _read(int row, int col) const
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{
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return m_aliased.read(row, col);
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}
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protected:
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MatrixRef<MatrixType> m_aliased;
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MatrixType m_tmp;
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};
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template<typename _Scalar, int _Rows, int _Cols>
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typename Matrix<_Scalar, _Rows, _Cols>::Alias
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Matrix<_Scalar, _Rows, _Cols>::alias()
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{
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return Alias(*this);
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}
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} // namespace Eigen
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#endif // EIGEN_MATRIXALIAS_H
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@ -37,6 +37,9 @@ template<typename Lhs, typename Rhs> class MatrixSum
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typedef typename Rhs::Ref RhsRef;
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friend class EigenBase<Scalar, MatrixSum>;
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typedef MatrixSum Ref;
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static const int RowsAtCompileTime = Lhs::RowsAtCompileTime,
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ColsAtCompileTime = Rhs::ColsAtCompileTime;
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MatrixSum(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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@ -75,6 +78,9 @@ template<typename Lhs, typename Rhs> class MatrixDifference
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friend class EigenBase<Scalar, MatrixDifference>;
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typedef MatrixDifference Ref;
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static const int RowsAtCompileTime = Lhs::RowsAtCompileTime,
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ColsAtCompileTime = Rhs::ColsAtCompileTime;
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MatrixDifference(const LhsRef& lhs, const RhsRef& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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{
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@ -36,6 +36,9 @@ template<typename MatrixType> class MatrixMinor
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typedef typename MatrixType::Ref MatRef;
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friend class EigenBase<Scalar, MatrixMinor<MatrixType> >;
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typedef MatrixMinor Ref;
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static const int RowsAtCompileTime = MatrixType::RowsAtCompileTime - 1,
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ColsAtCompileTime = MatrixType::ColsAtCompileTime - 1;
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MatrixMinor(const MatRef& matrix,
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int row, int col = 0)
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@ -37,6 +37,9 @@ template<typename MatrixType> class MatrixRow
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friend class EigenBase<Scalar, MatrixRow<MatrixType> >;
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typedef MatrixRow Ref;
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static const int RowsAtCompileTime = MatrixType::ColsAtCompileTime,
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ColsAtCompileTime = 1;
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MatrixRow(const MatRef& matrix, int row)
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: m_matrix(matrix), m_row(row)
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{
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@ -88,6 +91,9 @@ template<typename MatrixType> class MatrixCol
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friend class EigenBase<Scalar, MatrixCol<MatrixType> >;
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typedef MatrixCol Ref;
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static const int RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = 1;
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MatrixCol(const MatRef& matrix, int col)
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: m_matrix(matrix), m_col(col)
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{
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@ -37,6 +37,9 @@ template<typename MatrixType> class ScalarProduct
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typedef ScalarProduct Ref;
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friend class EigenBase<typename MatrixType::Scalar, ScalarProduct<MatrixType> >;
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static const int RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = MatrixType::ColsAtCompileTime;
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ScalarProduct(const MatRef& matrix, Scalar scalar)
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: m_matrix(matrix), m_scalar(scalar) {}
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@ -38,7 +38,7 @@ template<typename MatrixType> void matrixManip(const MatrixType& m)
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a.row(i) = b.row(i);
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a.row(i) += b.row(i);
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a.minor(i, j) = b.block(1, rows-1, 1, cols-1);
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//a.alias().minor(i, j) -= a.block(1, rows-1, 1, cols-1);
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a.minor(i, j) -= eval(a.block(1, rows-1, 1, cols-1));
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}
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void EigenTest::testMatrixManip()
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@ -44,10 +44,9 @@ template<typename MatrixType1,
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a = b;
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a = b + c;
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a = s * (b - c);
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a.alias() = a + b;
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a = eval(a + b);
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a += b;
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a.alias() += b;
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a -= b + b;
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MatrixType1 d(rows1, cols1);
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@ -42,11 +42,11 @@ template<typename VectorType> void vectorOps(const VectorType& v)
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a = b;
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a = b + c;
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a = s * (b - c);
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a.alias() = a + b;
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a = eval(s * (b - c));
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a += b;
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a += b + b;
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a.alias() += a + a;
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a += eval(a + a);
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}
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void EigenTest::testVectorOps()
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