Nonwhite noise

This form, while less explicit than Eq. (21), allows one to treat stable and unstable modes on an equal footing and provides an efficient way to evaluate the TS trajectory numerically for a given instance of the noise. It also proves convenient to use this notation in the calculation of a TS trajectory for systems under the influence of nonwhite noise or deterministic driving. 

An adaptation using weighted least squares is discussed in a later section for the analysis of data sets with nonwhite noise.) The least-squares fit is obtained by minimizing the sum of squares, ssq, as a function of the measurement, Y, the chemical model (rate law), and the parameters, i.e., the rate constants, k, and the molar absorptivities, A. 

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