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fix some compilation errors with ICC and -strict-ansi
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@ -719,7 +719,7 @@ struct first_aligned_impl<Derived, false>
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{
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inline static typename Derived::Index run(const Derived& m)
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{
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return first_aligned(&m.const_cast_derived().coeffRef(0,0), m.size());
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return internal::first_aligned(&m.const_cast_derived().coeffRef(0,0), m.size());
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}
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};
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@ -99,7 +99,7 @@ static EIGEN_DONT_INLINE void run(
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size_t starti = FirstTriangular ? 0 : j+2;
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size_t endi = FirstTriangular ? j : size;
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size_t alignedStart = (starti) + first_aligned(&res[starti], endi-starti);
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size_t alignedStart = (starti) + internal::first_aligned(&res[starti], endi-starti);
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size_t alignedEnd = alignedStart + ((endi-alignedStart)/(PacketSize))*(PacketSize);
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// TODO make sure this product is a real * complex and that the rhs is properly conjugated if needed
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@ -57,7 +57,7 @@ class LU : public FullPivLU<MatrixType>
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> ImageResultType;
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typedef FullPivLU<MatrixType> Base;
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LU() : Base() {}
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LU() : Base(), m_originalMatrix() {}
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template<typename T>
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explicit LU(const T& t) : Base(t), m_originalMatrix(t) {}
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@ -284,9 +284,9 @@ template<typename Scalar, int Mode, int Options> void transformations()
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// mat * aligned scaling and mat * translation
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t1 = (Matrix3(q1) * AlignedScaling3(v0)) * Translation3(v0);
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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t1 = (Matrix3(q1) * Scaling(v0)) * Translation3(v0);
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t1 = (Matrix3(q1) * Eigen::Scaling(v0)) * Translation3(v0);
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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t1 = (q1 * Scaling(v0)) * Translation3(v0);
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t1 = (q1 * Eigen::Scaling(v0)) * Translation3(v0);
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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// mat * transformation and aligned scaling * translation
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t1 = Matrix3(q1) * (AlignedScaling3(v0) * Translation3(v0));
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@ -295,18 +295,18 @@ template<typename Scalar, int Mode, int Options> void transformations()
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t0.setIdentity();
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t0.scale(s0).translate(v0);
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t1 = Scaling(s0) * Translation3(v0);
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t1 = Eigen::Scaling(s0) * Translation3(v0);
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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t0.prescale(s0);
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t1 = Scaling(s0) * t1;
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t1 = Eigen::Scaling(s0) * t1;
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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t0 = t3;
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t0.scale(s0);
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t1 = t3 * Scaling(s0,s0,s0);
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t1 = t3 * Eigen::Scaling(s0,s0,s0);
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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t0.prescale(s0);
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t1 = Scaling(s0,s0,s0) * t1;
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t1 = Eigen::Scaling(s0,s0,s0) * t1;
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VERIFY_IS_APPROX(t0.matrix(), t1.matrix());
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@ -335,11 +335,11 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
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refMat.setZero();
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for(int i=0;i<ntriplets;++i)
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{
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int i = internal::random<int>(0,rows-1);
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int j = internal::random<int>(0,cols-1);
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int r = internal::random<int>(0,rows-1);
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int c = internal::random<int>(0,cols-1);
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Scalar v = internal::random<Scalar>();
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triplets.push_back(TripletType(i,j,v));
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refMat(i,j) += v;
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triplets.push_back(TripletType(r,c,v));
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refMat(r,c) += v;
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}
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SparseMatrixType m(rows,cols);
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m.setFromTriplets(triplets.begin(), triplets.end());
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