aimsalgo  5.1.2
Neuroimaging image processing
polynomial.h
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33 
34 
35 #ifndef AIMS_RESAMPLING_POLYNOMIAL_H
36 #define AIMS_RESAMPLING_POLYNOMIAL_H
37 
39 #include <aims/vector/vector.h>
41 
44 namespace aimsalgo
45 {
46  template <class T,unsigned D>
47  class Polynomial : public Samplable<T,D>
48  {
49  public:
50  Polynomial(std::vector<T> * coefficients, T orderStep = 1);
51  virtual ~Polynomial();
52 
53  virtual void setCoefficients(std::vector<T> * coefficients);
54  virtual std::vector<T> * getCoefficients();
55  virtual void setOrderStep(T orderStep);
56  virtual T getOrderStep();
57  virtual bool contains(AimsVector<T,D> & vector);
58  virtual T resolve(AimsVector<T,D> & vector);
59  virtual void resetDimensionOrders();
60  virtual AimsVector<T,D> getDimensionOrders(unsigned index);
61  virtual T getValue(AimsVector<T,D> & vector, AimsVector<T,D> & dimensionOrders, T coefficient);
62  virtual void displayEquation();
63 
64  private:
65  unsigned _order;
66  unsigned _coefficientsTheoricSize;
67  T _orderStep;
68  std::vector<T> * _coefficients;
69  std::vector<AimsVector<T,D> > * _dimensionOrders;
70  };
71 
72 }
73 
74 #endif
virtual void setOrderStep(T orderStep)
virtual T getValue(AimsVector< T, D > &vector, AimsVector< T, D > &dimensionOrders, T coefficient)
virtual T getOrderStep()
virtual void setCoefficients(std::vector< T > *coefficients)
Polynomial(std::vector< T > *coefficients, T orderStep=1)
virtual AimsVector< T, D > getDimensionOrders(unsigned index)
virtual T resolve(AimsVector< T, D > &vector)
virtual void displayEquation()
virtual bool contains(AimsVector< T, D > &vector)
virtual std::vector< T > * getCoefficients()
virtual void resetDimensionOrders()
The virtual template class fo which samplable classes must inherit from.