This file is indexed.

/usr/include/trilinos/ROL_ElementwiseVector.hpp is in libtrilinos-rol-dev 12.10.1-3.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
// @HEADER
// ************************************************************************
//
//               Rapid Optimization Library (ROL) Package
//                 Copyright (2014) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact lead developers:
//              Drew Kouri   (dpkouri@sandia.gov) and
//              Denis Ridzal (dridzal@sandia.gov)
//
// ************************************************************************
// @HEADER

#ifndef ROL_ELEMENTWISE_VECTOR_H
#define ROL_ELEMENTWISE_VECTOR_H

#include "ROL_Vector.hpp"

/** @ingroup la_group
    \class ROL::ElementwiseVector
    \brief Intermediate abstract class which does not require users 
           implements plus, set, scale, axpy, norm, dot, or zero if 
           they implement the three elementwise functions: applyUnary,
           applyBinary, and reduce

           dot and norm are unweighted dot products and Euclidean norm 
           by default
*/

namespace ROL {

template< class Real>
class ElementwiseVector : public Vector<Real> {

public: 

  virtual ~ElementwiseVector() {}

  void plus( const Vector<Real> &x ) {
    this->applyBinary(Elementwise::Plus<Real>(),x);
  }

  void scale( const Real alpha ) {
    this->applyUnary(Elementwise::Scale<Real>(alpha));
  }

  virtual Real dot( const Vector<Real> &x ) const {
    Teuchos::RCP<Vector<Real> > y = this->clone();
    y->set(*this);
    y->applyBinary(Elementwise::Multiply<Real>(),x);
    return y->reduce(Elementwise::ReductionSum<Real>());    
  }

  virtual Real norm() const {
    Teuchos::RCP<Vector<Real> > y = this->clone();
    y->set(*this);
    y->applyBinary(Elementwise::Multiply<Real>(), *y);
    return std::sqrt( y->reduce(Elementwise::ReductionSum<Real>()) );       
  }

  void axpy( const Real alpha, const Vector<Real> &x ) {
    this->applyBinary(Elementwise::Axpy<Real>(alpha),x);
  }

  void zero() {
    this->applyUnary(Elementwise::Fill<Real>(Real(0)));
  }

  void set( const Vector<Real> &x ) {
    this->applyBinary(Elementwise::Set<Real>(),x);
  }

}; // class ElementwiseVector


} // namespace ROL




#endif // ROL_ELEMENTWISE_VECTOR_H