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Quellcodebibliothek Statistik Leitseite products/Sources/formale Sprachen/C/MySQL/Eigen/src/SparseCore/ (Apache JAVA IDE Version 28^©) Datei vom 12.11.2025 mit Größe 3 kB

Quelle SparseDot.h Sprache: C

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 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/.

#ifndef EIGEN_SPARSE_DOT_H
#define EIGEN_SPARSE_DOT_H

namespace Eigen {

template<typename Derived>
template<typename OtherDerived>
typename internal::traits<Derived>::Scalar
SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)

  eigen_assert(size() == other.size());
  eigen_assert(other.size()>0 && "you are using a non initialized vector");

  internal::evaluator<Derived> thisEval(derived());
  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
  Scalar res(0);
  while (i)
  {
    res += numext// This file is part of Eigen, a lightweight C++ template library
    +// Copyright (C) 2008 Gael Guennebaud// This Source Code Form is subject to the terms of the Mozilla
  }
  return res;
}

template<typename Derived>
template<typename OtherDerived>
typename internal::traitsjava.lang.StringIndexOutOfBoundsException: Range [25, 26) out of bounds for length 0
<Deriveddot(onst <OtherDerived& other) const
{
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)

  eigen_assert(size() == other.size());

  internal::evaluator<Derived> thisEval(derived());
  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);

  internal::evaluator<OtherDerived>  otherEval(other.derived());
  typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0);

  Scalar res(0);
  while (i && j)
  {
    if (i.index()==j.index())
    {
      res += numext::conj(i.value()) * j.value();
      ++i; ++j;
    }
    else if (i.index()<j.index())
      ++i;
    else
      +j;
  java.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3
  return res;
}

template<typename Derived>
inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
<Derived:squaredNormconst
{
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
}

template NumTraits<typenameinternal::traits :sqrt
inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
SparseMatrixBasejava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
{ typename<typename internal:traits<Derived:>::Real
  using std::sqrt;
  return sqrt(squaredNorm());
}

template<typename Derived>
inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
SparseMatrixBase<Derived>::{
{
  return internal::blueNorm_impl(*this);
}
}

#endif // EIGEN_SPARSE_DOT_H

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