SplineFitter provides routines for performing cubic spline interpolation.
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#include <SplineFitter.h>
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| static void | createNaturalSpline (const std::vector< double > &x, const std::vector< double > &y, std::vector< double > &deriv) |
| | Fit a natural cubic spline to a set of data points. More...
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| static void | createPeriodicSpline (const std::vector< double > &x, const std::vector< double > &y, std::vector< double > &deriv) |
| | Fit a periodic cubic spline to a set of data points. More...
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| static double | evaluateSpline (const std::vector< double > &x, const std::vector< double > &y, const std::vector< double > &deriv, double t) |
| | Evaluate a spline generated by one of the other methods in this class. More...
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| static double | evaluateSplineDerivative (const std::vector< double > &x, const std::vector< double > &y, const std::vector< double > &deriv, double t) |
| | Evaluate the derivative of a spline generated by one of the other methods in this class. More...
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SplineFitter provides routines for performing cubic spline interpolation.
| static void createNaturalSpline |
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const std::vector< double > & |
x, |
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const std::vector< double > & |
y, |
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std::vector< double > & |
deriv |
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Fit a natural cubic spline to a set of data points.
The resulting spline interpolates all the data points, has a continuous second derivative everywhere, and has a second derivative of 0 at its end points.
- Parameters
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| x | the values of the independent variable at the data points to interpolate. They must be strictly increasing: x[i] > x[i-1]. |
| y | the values of the dependent variable at the data points to interpolate |
| deriv | on exit, this contains the second derivative of the spline at each of the data points |
| static void createPeriodicSpline |
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const std::vector< double > & |
x, |
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const std::vector< double > & |
y, |
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std::vector< double > & |
deriv |
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Fit a periodic cubic spline to a set of data points.
The resulting spline interpolates all the data points, has a continuous second derivative everywhere, and has identical second derivatives at the end points.
- Parameters
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| x | the values of the independent variable at the data points to interpolate. They must be strictly increasing: x[i] > x[i-1]. |
| y | the values of the dependent variable at the data points to interpolate. The first and last entries must be identical. |
| deriv | on exit, this contains the second derivative of the spline at each of the data points |
| static double evaluateSpline |
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const std::vector< double > & |
x, |
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const std::vector< double > & |
y, |
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const std::vector< double > & |
deriv, |
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double |
t |
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Evaluate a spline generated by one of the other methods in this class.
- Parameters
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| x | the values of the independent variable at the data points to interpolate |
| y | the values of the dependent variable at the data points to interpolate |
| deriv | the vector of second derivatives that was calculated by one of the other methods |
| t | the value of the independent variable at which to evaluate the spline |
- Returns
- the value of the spline at the specified point
| static double evaluateSplineDerivative |
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const std::vector< double > & |
x, |
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const std::vector< double > & |
y, |
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const std::vector< double > & |
deriv, |
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double |
t |
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Evaluate the derivative of a spline generated by one of the other methods in this class.
- Parameters
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| x | the values of the independent variable at the data points to interpolate |
| y | the values of the dependent variable at the data points to interpolate |
| deriv | the vector of second derivatives that was calculated by one of the other methods |
| t | the value of the independent variable at which to evaluate the spline |
- Returns
- the value of the spline's derivative at the specified point
The documentation for this class was generated from the following file:
1.8.5 
