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Determine g(X) = 2 fi (X . e,,) , w h ere the functions f; (X. ei) are i=l determined by using Eqs. (9.15) and (9.14). -1 If g(X) = K f e, then stop the iteration and compute the performance measures of the network with the equations from Section 7.1. If g(X) > K, set X, = X and go back to Step 2.1. If g(X) < K, set Xl = X and go also back to Step 2.1. The advantage of this method is that the performance measures can be computed very easily. Furthermore, if we use suitable functions fi, then the number K of jobs in the network and the number of servers rni does not affect the computation time. In the case of monotonicity, the convergence is always guaranteed. By using suitable functions fi (Xi), this method can also be used for an approximate analysis of closed non-product-form networks (see Section 10.1.4). In [BFS87] and [AkBoBBb], it is shown that the summation method is also well suited for solving optimization problems in queueing networks (see 11). In the following example we show the use of the summation method: Consider Example 8.4 from Section 8.2.1. This network Example 9.5 is examined again to have a comparison between the exact values and the approximate ones as computed with the summation method. The network

Stulz (1984), Allen and Santomero (1996), p. 14, and the list of references to the literature provided there. 156See Tufano (1996), p. 1109. 157And hence the (potential) loss of the reputation of their managerial capabilities. 158As long as the firm has committed itself to conducting risk management to ensure a stable risk profile and there are little or no transaction costs. See Froot et al. (1993), p. 1631. 159See Stulz (2000), p. 3-27. 160See Smithson (1998), p. 13. 161The economic decision makers face a nonlinear optimization problem, which in turn leads them to be concerned about both the expected firm returns and their distribution (variability is a choice variable usually assumed to be selected by management subject to the usual constraints of optimization) around the expected value. See Allen and Santomero, pp. 13 17.

This repositioned the company as a great value stock that is, not growing necessarily, but generating free cash flow, paying down debt, and carrying a much more attractive risk/reward profile than a company with a growth multiple By conducting an IR audit, companies can set themselves up to rebuild their story With a focus on company knowledge, industry intelligence, and relative valuation, IROs will find that when they are fully informed, they have the right tools to advise a busy CEO, and the confidence to talk to even the most sophisticated analyst..

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TABLE 9.2 Semantics of Interaction Operators in Combined Fragments strict seq par loop alt ignore neg assert strict designates [read means] that the CombinedFragment represents a strict sequencing between the behaviors of the operands. seq designates that the CombinedFragment represents a weak sequencing between the behaviors of the operands. par designates that the CombinedFragment represents a parallel merge between the behaviors of the operands. loop designates that the CombinedFragment represents a loop. The loop operand will be repeated a number of times. alt designates that the CombinedFragment represents a choice of behavior. ignore designates that there are some message types that are not shown within this combined fragment. neg designates that the CombinedFragment represents traces that are de ned to be invalid. assert designates that the CombinedFragment represents an assertion. The sequences of the operand of the assertion are the only valid continuations. All other continuations result in an invalid trace. critical designates that the CombinedFragment represents a critical region. A critical region means that the traces of the region cannot be interleaved by other OccurrenceSpeci cations. break designates that the CombinedFragment represents a breaking scenario in the sense that the operand is a scenario that is performed instead of the remainder of the enclosing InteractionFragment. opt designates that the CombinedFragment represents a choice of behavior where either the (sole) operand happens or nothing happens. consider designates which messages should be considered within this combined fragment. This is equivalent to de ning every other message to be ignores.

Given an aperiodic DTMC, the limits fi = limn-+oo v(n) do exist. For any irreducible and aperiodic DTMC, the limit ti exists and is independent of the initial probability vector Y(O). the unique steady-state probability vector u.

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Yield: 1 pt 12 oz (850 mL)