tensor.h

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/*
 *  2nd order tensor class
 */
#ifndef AIMS_MATH_TENSOR_H
#define AIMS_MATH_TENSOR_H
 
#include <aims/config/aimsdata_config.h>
#include <aims/math/trieder.h>
 
 
class Tensor;
 
AIMSDATA_API int operator == (const Tensor& thing1, const Tensor& thing2);
AIMSDATA_API float norm(const Tensor& thing);
AIMSDATA_API std::ostream& operator << (std::ostream& os, const Tensor& thing);
 
 
class AIMSDATA_API Tensor
{
  public:
    Tensor()  { }
    Tensor( const Trieder& trieder, const Point3df& eigenvalue )
         : _trieder( trieder ), _eigenvalue( eigenvalue )
    { }
    Tensor( const AimsVector<float,6>& coef )
         : _coef( coef )
    { }
    Tensor(const Tensor& other) : _trieder( other._trieder ),
                                  _eigenvalue( other._eigenvalue ),
                                  _coef( other._coef ),
                                  _trace( other._trace )
    { }
    virtual ~Tensor() { }
 
    const Trieder& trieder() const { return _trieder; }
    Trieder& trieder() { return _trieder; }
 
    const Point3df& eigenvalue() const { return _eigenvalue; }
    Point3df& eigenvalue() { return _eigenvalue; }
 
    const AimsVector<float,6>& coef() const { return _coef; }
    AimsVector<float,6>& coef() { return _coef; }
 
    const float& trace() const { return _trace; }
    float& trace() { return _trace; }
 
    float diffusion( const Point3df& dir ) const;
 
    float meanDiffusivity() const;
 
    float dot( const Tensor& other ) const;
 
    friend
    int operator == (const Tensor& thing1, const Tensor& thing2);
 
    friend
    std::ostream& operator << (std::ostream& os, const Tensor& thing);
 
  protected:
    Trieder _trieder;
    Point3df _eigenvalue;
    AimsVector<float,6> _coef;
    float _trace;
};
 
 
inline
float Tensor::diffusion( const Point3df& dir ) const
{
  return _coef.item(0) * dir.item(0) * dir.item(0) +
         _coef.item(3) * dir.item(1) * dir.item(1) +
         _coef.item(5) * dir.item(2) * dir.item(2) +
         2.0 * _coef.item(1) * dir.item(0) * dir.item(1) +
         2.0 * _coef.item(2) * dir.item(0) * dir.item(2) +
         2.0 * _coef.item(4) * dir.item(1) * dir.item(2);
}
 
 
inline
float Tensor::dot( const Tensor& other ) const
{
  return coef().item(0) * other.coef().item(0) +
         coef().item(3) * other.coef().item(3) +
         coef().item(5) * other.coef().item(5) +
         2.0 * coef().item(1) * other.coef().item(1) +
         2.0 * coef().item(2) * other.coef().item(2) +
         2.0 * coef().item(4) * other.coef().item(4) ;
}
 
 
inline
float Tensor::meanDiffusivity() const
{
  return ( coef().item(0) + coef().item(3) + coef().item(5) ) / 3.0;
}
 
 
inline
int operator == (const Tensor& thing1, const Tensor& thing2)
{
  return thing1.trieder() == thing2.trieder() &&
         thing1.eigenvalue() == thing2.eigenvalue() &&
         thing1.coef() == thing2.coef();
}
 
 
inline
float norm(const Tensor& thing)
{
   return sqrt( thing.coef().item(0) * thing.coef().item(0) +
                thing.coef().item(3) * thing.coef().item(3) +
                thing.coef().item(5) * thing.coef().item(5) +
                2.0 * thing.coef().item(1) * thing.coef().item(1) +
                2.0 * thing.coef().item(2) * thing.coef().item(2) +
                2.0 * thing.coef().item(4) * thing.coef().item(4) ); 
}
 
 
inline
std::ostream& operator << (std::ostream& os, const Tensor& thing)
{
  os << "{trieder=" << thing.trieder()
     << ",eigenvalue=" << thing.eigenvalue()
     << ",coef=" << thing.coef()
     << ",trace="  << thing.trace();
  os << "}";
  return os;
}
 
 
#endif