Algorithm design

Kira Hagstrom and Alexander Zhivov. Design algorithm for room air distribution design using jet theory and experimental data on temperature and velocity distribution uniformity. Draft, Espoo 14.09, 1998. 

Consistent and proper operation of any software system is dependent upon the decision and action formulae or algorithms included in the code. With a poorly designed algorithm, interim problems may not be obvious in testing, but may cause significant difficulties over time. Similarly, improper formulae may work properly with some data sets, but may malfunction with unusual or outlier data points. Examination and confirmation of appropriate formulae is a critical part of any source code review. 

Multi-objective Library Design Algorithm Description... 

T. Tsuboka and T. Katayama, Design algorithm for liquid-liquid separation processes, J. Chem. Eng. Jpn. 9,40-45 (1976). 

The computational power and flexibility of the computer is much used now to simulate controllers having characteristics other than the standard P, PI, etc., modes. Controllers are described in the following for which the design algorithm is derived directly from a specification of the discrete time character of the response of the controlled variable to a given change in set point. 

Two fundamental questions have to be asked about de novo design algorithms ... 

Therefore, the Kalman designed algorithm is specified by obtaining the modified Z-transform of the process pulse transfer function ot get P(z) and Q(z) and then substituting these values into equation (19). 

Walsh et al. (1995) used a simplified BREAD process model in conjunction with a parameterised uncertainty description to predict the performance. Worst-case design algorithm of Walsh (1993) was used to systematically determine the optimal operating policies that allow performance constraints to be met over a bounded set of uncertain parameters. 

Table 9.8 shows the results of base case (case 1) optimisation with nominal values of operating parameters and those obtained by using worst-case design algorithm (case 2). The profit in Case 2 is based on weighted average of 20.5 nominal and 13.5 worst-case scenarios. Figure 9.17 shows nominal (optimum) and worst-case (optimum) temperature profile. 

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