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use it to execute managed components on their behalf. This technique provides us with a useful bridging mechanism that has many practical applications within the platform. Version 6.0 of the Microsoft Internet Explorer is an example of an unmanaged component that uses the bridging mechanism we just discussed. Even though this component is not compiled into the IL format, it can host the Common Language Runtime (CLR). This hosted instance of the CLR can then execute Microsoft .NET Framework-based components on behalf of Microsoft Internet Explorer. This is very useful when connecting to web pages that contain or use managed components. Other versions of Microsoft Internet Explorer might be implemented as a managed component (rather than as an unmanaged component) which is why we explicitly mentioned Version 6.0 here. We knew that this version was not implemented as a managed component, and think that this version will probably never be reimplemented as a managed component in the future, since it is no longer the most recent version commonly in use. It is also possible to use a technique known as a wrapper to allow managed components to invoke unmanaged components, and vice versa. This is different from the CLR-hosting option we discuss in the box. We mention this detail here for the sake of completeness, as well as in recognition of the fact that wrappers might be employed within our DDBE projects even when we do not use them directly ourselves.

The fetch methods in the preceding list attempt to cache as much as possible. For example, if multiple entry records are fetched with fetch_entries, it will precache the comments and pings for those entries (doing a single select statement for all entry IDs rather than a separate query for each entry). In some cases, this gathers more data than necessary, but in most cases, it saves on execution time.

and GFF if 1/2 r/n (and r/n within the range of our tests), the performance ratio of TS still ranges up to 147 Thus, either the results of TS are still not entirely satisfactory, or the lower bound provided by the (approximation of the) clique packing number is not near the optimum for these instances, or both Some problems concerning the TS design are known, yet not solved For an example, our TS aims at constructing single frequency networks (SFNs), employing oversupply of services to reach that goal, with a number of criteria to help decide if in a given situation expanding, or cutting back a SFN is advantageous These criteria are at the moment still under construction So up to now, in unclear situations, our TS rather tends to build up a SFN, even if the opposite would, eventually in longer terms, bring greater gain 12.

Al-Naser, F, & Everly, G S, Jr (1999) Prevalence of posttraumatic stress disorder among Kuwaiti firefighters International Journal of Emergency Mental Health, 1, 99 101 American Psychiatric Association (1994) Diagnostic and statistical manual of mental disorders (4th ed) Washington, DC: Author Beaton, R, Murphy, S, & Corneil, W (1996, September) Prevalence of posttraumatic stress disorder symptomatology in professional urban fire fighters in two countries Paper presented to the International Congress of Occupational Health, Stockholm, Sweden Breslau, N, Kessler, R, Chilcoat, H, Schultz, L, Davis, G, & Andreski, P (1998) Trauma and posttraumatic stress disorder in the community Archives of General Psychiatry, 55, 626 633 Eidelson, R J, & Eidelson, J (2003) Dangerous ideas: Five beliefs that propel groups toward conflict American Psychologist, 58, 182 192 Everly, G S, Jr (1989).

6 CONCLUSION The ensemble planning problem discussed in this chapter is not only important for the planning of DAB networks, it is also interesting from a theoretical point of view, because it involves complex interactions between different classical NP-hard optimization problems, a feature that pertains to many real-world planning problems in network design and other applications Further theoretical studies of the problem will probably center around special cases and improved lower-bounding methods, which will help us to better understand the structure of this problem Some first steps into this direction can be found in [22] Although the available solution techniques, in particular our tabu search algorithm, already perform fairly well in practice, additional research is needed to further improve these algorithms and to design alternative solution methods.

Beyond the basic problem formulation introduced in this chapter, there are other kinds of constraints and objectives arising in practical network planning that point to additional directions for future research We sketch out some of these in the following More details can be found in [10]..