Numerical Methods with Programming

One reason to interpolate the data is to obtain a function that approximates it. Since the data values are not necessarily exact, it is not always important to match them precisely. In this chapter we use a simple approximation device to build splines that approximate the data without interpolating it. The process has some attractive features which both spline interpolation and polynomial interpolation lack.