| 摘要 |
Methods are provided for fitting a curve to a set of data values using a least absolute value (LAV) cost function. The set of data values may comprise m sets of data values. The method takes advantage of contraction mapping to determine a number n<m of individual equations which are interpolated by the curve to be fitted, where n corresponds to the number of parameters x1, x2, . . . , xn to be ascertained for the curve to be fitted. The method then involves solving the n selected equations to determine the n parameters x1, x2, . . . , xn of the curve to be fitted. Selection of these parameters ensures that the curve to be fitted minimizes the LAV cost function.
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