SparseDot.h
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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 
10 #ifndef EIGEN_SPARSE_DOT_H
11 #define EIGEN_SPARSE_DOT_H
12 
13 namespace Eigen {
14 
15 template<typename Derived>
16 template<typename OtherDerived>
19 {
22  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
24  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
25 
26  eigen_assert(size() == other.size());
27  eigen_assert(other.size()>0 && "you are using a non initialized vector");
28 
29  internal::evaluator<Derived> thisEval(derived());
30  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
31  Scalar res(0);
32  while (i)
33  {
34  res += numext::conj(i.value()) * other.coeff(i.index());
35  ++i;
36  }
37  return res;
38 }
39 
40 template<typename Derived>
41 template<typename OtherDerived>
44 {
47  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
49  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
50 
51  eigen_assert(size() == other.size());
52 
53  internal::evaluator<Derived> thisEval(derived());
54  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
55 
56  internal::evaluator<OtherDerived> otherEval(other.derived());
58 
59  Scalar res(0);
60  while (i && j)
61  {
62  if (i.index()==j.index())
63  {
64  res += numext::conj(i.value()) * j.value();
65  ++i; ++j;
66  }
67  else if (i.index()<j.index())
68  ++i;
69  else
70  ++j;
71  }
72  return res;
73 }
74 
75 template<typename Derived>
78 {
79  return numext::real((*this).cwiseAbs2().sum());
80 }
81 
82 template<typename Derived>
85 {
86  using std::sqrt;
87  return sqrt(squaredNorm());
88 }
89 
90 template<typename Derived>
93 {
94  return internal::blueNorm_impl(*this);
95 }
96 } // end namespace Eigen
97 
98 #endif // EIGEN_SPARSE_DOT_H
Eigen
Namespace containing all symbols from the Eigen library.
Definition: jet.h:637
eigen_assert
#define eigen_assert(x)
Definition: Macros.h:1037
real
float real
Definition: datatypes.h:10
EIGEN_STATIC_ASSERT_VECTOR_ONLY
#define EIGEN_STATIC_ASSERT_VECTOR_ONLY(TYPE)
Definition: StaticAssert.h:142
Eigen::SparseMatrixBase::squaredNorm
RealScalar squaredNorm() const
Definition: SparseDot.h:77
res
cout<< "Here is the matrix m:"<< endl<< m<< endl;Matrix< ptrdiff_t, 3, 1 > res
Definition: PartialRedux_count.cpp:3
size
Scalar Scalar int size
Definition: benchVecAdd.cpp:17
Eigen::SparseMatrixBase< CwiseBinaryOp< BinaryOp, Lhs, Rhs > >::Scalar
internal::traits< Derived >::Scalar Scalar
Definition: SparseMatrixBase.h:31
j
std::ptrdiff_t j
Definition: tut_arithmetic_redux_minmax.cpp:2
Eigen::internal::evaluator
Definition: CoreEvaluators.h:90
EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE
#define EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(TYPE0, TYPE1)
Definition: StaticAssert.h:167
conj
AnnoyingScalar conj(const AnnoyingScalar &x)
Definition: AnnoyingScalar.h:104
Eigen::internal::blueNorm_impl
NumTraits< typename traits< Derived >::Scalar >::Real blueNorm_impl(const EigenBase< Derived > &_vec)
Definition: StableNorm.h:120
Eigen::internal::traits
Definition: ForwardDeclarations.h:17
EIGEN_STATIC_ASSERT
#define EIGEN_STATIC_ASSERT(CONDITION, MSG)
Definition: StaticAssert.h:127
Real
mp::number< mp::cpp_dec_float< 100 >, mp::et_on > Real
Definition: boostmultiprec.cpp:78
Eigen::SparseMatrixBase
Base class of any sparse matrices or sparse expressions.
Definition: ForwardDeclarations.h:301
Eigen::internal::is_same
Definition: Meta.h:148
Eigen::MatrixBase
Base class for all dense matrices, vectors, and expressions.
Definition: MatrixBase.h:48
Eigen::NumTraits
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
Definition: NumTraits.h:232
ceres::sqrt
Jet< T, N > sqrt(const Jet< T, N > &f)
Definition: jet.h:418
i
int i
Definition: BiCGSTAB_step_by_step.cpp:9
Eigen::SparseMatrixBase::dot
Scalar dot(const MatrixBase< OtherDerived > &other) const
pybind_wrapper_test_script.other
other
Definition: pybind_wrapper_test_script.py:42
Eigen::SparseMatrixBase::blueNorm
RealScalar blueNorm() const
Definition: SparseDot.h:92
Scalar
SCALAR Scalar
Definition: bench_gemm.cpp:46
Eigen::SparseMatrixBase::norm
RealScalar norm() const
Definition: SparseDot.h:84


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autogenerated on Sat Nov 16 2024 04:04:30