b spline interpolation  
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#include <OpenMS/MATH/MISC/BSpline2d.h>
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| static void  | debug (bool enable) | 
|   | 
◆ BoundaryCondition
| Enumerator | 
|---|
| BC_ZERO_ENDPOINTS  | Set the endpoints of the spline to zero.  
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| BC_ZERO_FIRST  | Set the first derivative of the spline to zero at the endpoints.  
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| BC_ZERO_SECOND  | Set the second derivative to zero.  
 | 
 
 
◆ BSpline2d()
Create a single spline with the parameters required to set up the domain and subsequently smooth the given set of y values. The y values must correspond to each of the x values. If either the domain setup fails or the spline cannot be solved, the state will be set to "not OK".
- See also
 - ok().
 
- Parameters
 - 
  
    | x | The array of x values in the domain.  | 
    | y | The array of y values corresponding to each of the x values in the domain.  | 
    | wavelength | The cutoff wavelength, in the same units as the x values. A wavelength of zero disables the derivative constraint.  | 
    | boundary_condition | The boundary condition type. If omitted it defaults to BC_ZERO_SECOND.  | 
    | num_nodes | The number of nodes to use for the cubic b-spline. If less than 2, a "reasonable" number will be calculated automatically, taking into account the given cutoff wavelength.  | 
  
   
- Precondition
 - x and y must be of the same dimensions. 
 
 
 
◆ ~BSpline2d()
◆ debug()
  
  
      
        
          | static void debug  | 
          ( | 
          bool  | 
          enable | ) | 
           | 
         
       
   | 
  
static   | 
  
 
Enable or disable debug messages from the B-spline library. 
 
 
◆ derivative()
      
        
          | double derivative  | 
          ( | 
          const double  | 
          x | ) | 
           const | 
        
      
 
Return the first derivative of the spline curve at the given x. Returns zero if the current state is not ok(). 
 
 
◆ eval()
      
        
          | double eval  | 
          ( | 
          const double  | 
          x | ) | 
           const | 
        
      
 
Return the evaluation of the smoothed curve at a particular x value. If current state is not ok(), returns zero. 
 
 
◆ ok()
Return whether the spline fit was successful. 
 
 
◆ solve()
      
        
          | bool solve  | 
          ( | 
          const std::vector< double > &  | 
          y | ) | 
           | 
        
      
 
Solve the spline curve for a new set of y values. Returns false if the solution fails.
- Parameters
 - 
  
    | y | The array of y values corresponding to each of the x values in the domain.  | 
  
   
 
 
◆ spline_