Curve Fitting

7.1 Introduction

The data obtained through measurement or observation may be plotted graphically, and a smooth curve is drawn joining the data points. Such graph is called an approximating curve for the data. The process of finding a curve that is “a best fit” for given data is called curve fitting. Several methods exist for curve fitting. We consider, in this chapter, curve fitting by a sum of exponential, linear/nonlinear weighted least squares approximation methods.

7.1.1 Curve Fitting: Method of Least Squares

So far we have employed polynomial interpolation where we have replaced the unknown function y = f(x) by a polynomial of degree at most n such that


f (xi) = pn (xi) (i = 0, 1, 2, …, n)         (7.1)

This gives satisfactory ...

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