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30 Interpolation **************** This chapter describes functions for performing interpolation. The library provides a variety of interpolation methods, including Cubic, Akima, and Steffen splines. The interpolation types are interchangeable, allowing different methods to be used without recompiling. Interpolations can be defined for both normal and periodic boundary conditions. Additional functions are available for computing derivatives and integrals of interpolating functions. Routines are provided for interpolating both one and two dimensional datasets. These interpolation methods produce curves that pass through each datapoint. To interpolate noisy data with a smoothing curve see Note: Basis Splines. The functions described in this section are declared in the header files ‘gsl_interp.h’ and ‘gsl_spline.h’.
Introduction to 1D Interpolation 1D Interpolation Functions 1D Interpolation Types 1D Index Look-up and Acceleration 1D Evaluation of Interpolating Functions 1D Higher-level Interface 1D Interpolation Example Programs Introduction to 2D Interpolation 2D Interpolation Functions 2D Interpolation Grids 2D Interpolation Types 2D Evaluation of Interpolating Functions 2D Higher-level Interface 2D Interpolation Example programs References and Further Reading