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The size of the synchronized product is proportional to the sizes of the model and the formula The algorithm operates in polynomial time according to the size of the synchronized product Unfortunately, ef ciency is poor On the one hand, the size of the execution model is very large compared to the size of the speci cation model (eg the size of the reachability graph wrt the size of the Petri net) In addition, the size of the automaton can grow exponentially as a function of the size of the formula Note that the latter limitation is not so critical, because the formulas are generally very small.

Figure 7.6: The model shows a class diagram a terminology model for object-oriented terms which is an application based on the Business Definitions pattern. The object diagram shows how the class diagram can be instantiated. The model in Figure 7.6 also shows sources for these definitions and other uses for these terms. For example, the term Class in UML means an Object Type (defined in [1] OMG Technical Framework) according to the source UML Toolkit. [Eriksson 98] A recurring problem that we ve noticed is the definition of the term Customer, raising the question does someone become a customer after placing the first order or is someone who showed an interest in the offered product or service a customer, too Especially when merging enterprises and business processes, it is vital to synchronize and define the term Customer, sometimes dividing it into several different terms, use of terms, and concepts. Otherwise, in particular with sales and marketing processes, the definition becomes unfocused and thus badly controlled. Related Patterns None.

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Steepest Descent 1.827e-04 1.826e-04 1.824e-04 1.823e-04

To reduce these complexity problems, different optimization techniques were therefore proposed: checking the formula on a smaller, but equivalent, model of execution (see the following chapters); checking a formula without completely developing the synchronized product by computation methods called on-the- y [GOD 93, GER 95]; or reducing the size of the data representation by appropriate BDD diagrams (binary decision diagrams) [BRY 86]..

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Figure 8.3 Tariff choices for a peak rate of 10 Mbps. The charge per second is typically greater with a peak rate of 10 Mbps per second than with a peak rate of 2 Mbps, since statistical sharing of the resource is more dif cult. Table 8.2 Typical charges for traf c with high mean rate. The charging rates are 1:2, 3:9 and 5:6, respectively

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There are several benefits to using the Asynchronous Completion Token pattern: Simplified initiator data structures. Initiators need not maintain complex data structures to associate service responses with completion handlers. The ACT returned by the service can be downcast or reinterpreted to convey all the information the initiator needs to demultiplex to its appropriate completion action. Efficient state acquisition. ACTs are time efficient because they need not require complex parsing of data returned with the service response. All relevant information necessary to associate the response with the original request can be stored either in the ACT or in an

The two antagonists depicted in Figure 18, irbesartan48 and valsartan49 share the terminal tetrazole ring with losartan. The central player in the renin angiotensin system is of course renin itself, the enzyme that cleaves angiotensinogen to begin with (see Fig. 16). Renin belongs to a large class of enzymes known as proteases. These enzymes, as the name indicates, cleave bonds in peptides and proteins to produce smaller peptides. The fermentation product, pepstatin, provided a clue for the design of such small molecule inhibitors. This natural product blocks cleavage of pepsin at a site very similar to that at which renin cleaves angiotensinogen. A very recent publication from the Novartis labs reports on the successful clinical trials of the small-molecule, renin inhibitor aliskiren.50 The molecule not only blocks the enzyme in vitro, but lowers blood pressure in patients with mild to moderate hypertension (Fig. 19).51 Another recent compound on the same theme, terlakiren from the P zer laboratories, is in an earlier stage of development.52 It is of note that the very complex structures of

Consider a server for a distributed logging service that handles multiple clients concurrently using the connection-oriented TCP protocol [Ste98]. To log data a client must send a connection request to a server transport address, which consists of a TCP port number and IP address. In the logging server, a passive-mode socket handle factory listens on this address for connection requests. The socket handle factory accepts the connection request and creates a data-mode socket handle that identifies this client's transport address. This

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