This file is indexed.

/usr/include/roboptim/core/numeric-linear-function.hh is in libroboptim-core-dev 2.0-7.

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
// Copyright (C) 2009 by Thomas Moulard, AIST, CNRS, INRIA.
//
// This file is part of the roboptim.
//
// roboptim is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// roboptim is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with roboptim.  If not, see <http://www.gnu.org/licenses/>.

#ifndef ROBOPTIM_CORE_NUMERIC_LINEAR_FUNCTION_HH
# define ROBOPTIM_CORE_NUMERIC_LINEAR_FUNCTION_HH
# include <roboptim/core/sys.hh>
# include <roboptim/core/debug.hh>

# include <roboptim/core/linear-function.hh>

namespace roboptim
{
  /// \addtogroup roboptim_function
  /// @{

  /// \brief Build a linear function from a vector and a matrix.
  ///
  /// Implement a linear function using the general formula:
  /// \f[f(x) = A x + b\f]
  /// where \f$A\f$ and \f$b\f$ are set when the class is instantiated.
  template <typename T>
  class GenericNumericLinearFunction : public GenericLinearFunction<T>
  {
  public:
    ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_
    (GenericLinearFunction<T>);

    /// \brief Build a linear function from a matrix and a vector.
    ///
    /// See class documentation for A and b definition.
    /// \param A A matrix
    /// \param b b vector
    GenericNumericLinearFunction (const matrix_t& A, const vector_t& b)
      throw ();
    ~GenericNumericLinearFunction () throw ();

    /// \brief Display the function on the specified output stream.
    ///
    /// \param o output stream used for display
    /// \return output stream
    virtual std::ostream& print (std::ostream&) const throw ();

    const matrix_t& A () const
    {
      return a_;
    }

    const vector_t& b () const
    {
      return b_;
    }

  protected:
    void impl_compute (result_t& , const argument_t&) const throw ();
    void impl_gradient (gradient_t&, const argument_t&, size_type = 0)
      const throw ();
    void impl_jacobian (jacobian_t&, const argument_t&) const throw ();

  private:
    /// \brief A matrix.
    matrix_t a_;
    /// \brief B vector.
    vector_t b_;
  };

  /// Example shows numeric linear function use.
  /// \example numeric-linear-function.cc

  /// @}

} // end of namespace roboptim

# include <roboptim/core/numeric-linear-function.hxx>
#endif //! ROBOPTIM_CORE_QUADRATIC_FUNCTION_HH