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Figure 3.14 The intravenous glucose tolerance test (IVGTT) is used to estimate both insulin sensitivity and glucose effectiveness , that is the degree to which a rise in blood glucose per se enhances glucose disposal. Pro les of insulin and glucose are shown during two modi ed versions of the test, with intravenous injection of tolbutamide or insulin to enhance the endogenous insulin response. Adapted from Saad et al. (1997) Diabetes 46: 1167 71.

The Set Partitioning Problem is a well-known problem in Operations Research and is de ned in Garey and Johnson (1979) We de ne a track assignment, or shortly an assignment, as a feasible assignment of a certain subset of blocks to a particular shunt track during the planning period Here, an assignment is feasible if the following conditions hold: 1 It does not contain crossings Recall that this occurs when a train unit is obstructing the arrival or departure of another train unit 2 The total length of the units on the track never exceeds the length of the track 3 All blocks of the subset are allowed to park on the track.

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possibility to optimise a device before fabrication, at least preliminarily, and in a better comprehension of the device behaviour and possible causes of misfunctioning They are also useful for yield optimisation when their computational cost is low enough Empirical models are extracted from data measured on the fabricated device They may include some a priori knowledge of the physical structure of the device, or they may be a powerful and exible interpolating scheme: in the latter case they are usually referred to as black-box models, while in the former case they are referred to as equivalent-circuit models Empirical models vary greatly in the required amount of measured data, extraction procedure, operating regime and, of course, accuracy While they may differ in computational burden, they are orders of magnitude faster than physical models, and usually fast enough for interactive nonlinear analysis.

of the output can be customized to the requirements of the user (Truax, 1986; Creath, 1987b). Other features that can be built into the software are production menus that lead the operator through the test, and then provide a pass/fail display based upon certain predetermined criteria. Recently, interfaces between interferometer analysis software and optical design programs have become available. While the exploration of this capability is just beginning, it has been used for several applications (Figoski et al., 1989; Stephenson, 1989; Willey and Patchin, 1989). The overall system design can be reoptimized based on the actual parts that have been manufactured and tested; this is especially useful for systems that are built around a dif cult to manufacture element. In a similar manner, interferometric data can be used to predict the actual system performance for comparison to the design requirements. The alignment of optical systems has also made use of this capability. The wavefront from either the entire optical system or a subsystem is measured and compared to the wavefront predicted

When properly de ned and extracted, they are also accurate enough for practical circuit design What can actually be burdensome in an empirical model is the amount of measurements required for its extraction, and usually also the extraction procedure itself Quite often, the extraction procedure requires a good deal of skill; it is sometimes wise not to try to extract a general model valid for all operating regimes, but it is better to limit oneself to the extraction of a model valid for speci c operating regimes or circuit applications A separate category is constituted by simple or simpli ed models Their structure is simple enough to avoid the need for the cumbersome analysis algorithms described in 1 and to allow for intuitive reasoning On the other hand, their accuracy is very limited, but nonetheless suf cient to understand the main design topics.

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Typical examples are piecewise-linear or simple polynomial models Obviously, the simpli cation is done in such a way that the main effects due to nonlinearities are preserved, while minor effects are neglected A great deal of a priori knowledge of the behaviour of the device is required, and usually the model is tailored to a speci c application (eg power ampli ers) The three main types of nonlinear models will be described in the following paragraphs, with the main emphasis being put on empirical models, by far the most commonly used in nonlinear CAD..

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