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24 Some Fundamental Numerical Methods<br />

the modified programs with three data pairs to approximate a constant and a<br />

45-degree line for the even and odd cases, respectively.<br />

2.4.5. Piecewise Linear Function Approximation Summary. Arbitrary real<br />

functions <strong>of</strong> real variables can be expressed as a linear weighted sum <strong>of</strong><br />

Chebyshev polynomials <strong>of</strong> the first kind. The coefficients are determined by<br />

an integral formula, but for piecewise linear functions the Chebyshev coefficients<br />

are found by an algebraic formula. Chebyshev polynomials have many<br />

amazing characteristics, one being the minimax error property (see Hamming,<br />

1973. for a commentary).<br />

A linear (weighted) summation <strong>of</strong> Chebyshev polynomials is easily restated<br />

as a power series polynomial in real, independent variable x. Since these<br />

approximations are found on the normalized interval - I .; x'; + I, a simple<br />

linear mapping is required in the usual case where given functions are defined<br />

otherwise. ft is not commonly observed, but the approximation described in<br />

this section has close connections with Fourier series approximations, which<br />

are more familiar to electrical engineers. Many other closed-form approximations<br />

are related to the method described (see Ralston, 1965, p. 286).<br />

2.5. Rational Polynomial LSE Approximation 01 Complex Functions<br />

There are many applications in electrical engineering for complex curve<br />

fitting, i.e., finding a complex function <strong>of</strong> a complex variable such as frequency.<br />

Examples include modeling an antenna impedance versus frequency<br />

for interpolation or for synthesis <strong>of</strong> an equivalent network; the latter might be<br />

used as a "dummy load" in place <strong>of</strong> the real antenna. Another example is<br />

approximation <strong>of</strong> a higher-order-system transfer function by a lower-order one<br />

over a limited frequency range.<br />

A rational polynomial in complex (Laplace) frequency s has more approximating<br />

power than an ordinary polynomial in s and can be an intermediate<br />

step to synthesizing an equivalent network. Such rational polynomials take the<br />

form<br />

(2.47)<br />

where s=jw will be used interchangeably. The relationship between functions<br />

<strong>of</strong> complex s and real w is rooted in the concept <strong>of</strong> analytic continuation,<br />

which is described in most network synthesis text<strong>book</strong>s (see Van Valkenburg,<br />

1960). Although the method to be presented will generally assume that s= jw,<br />

it also applies to the less general real-variable case S2= _w 2 for approximating<br />

even functions.<br />

The kind <strong>of</strong> problem to be solved is shown in Figure 2.9; it was given by<br />

E. C Levy (1959), who published the algorithm to be described in this section.

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