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These results are intuitive. The monopolist will charge the lowest price to the market segment that has the greatest demand elasticity. In Figure 6.5 there are two customers classes, with demand functions x1 . p/ D 6 3 p and x2 . p/ D 2 2 p. The solution to (6.3) with the right hand side equal to 1=2 is p1 D 5=4 and p2 D 3=4, with x1 D 9=2 and x2 D 1=4. At these points, 1 D 5=3, 2 D 3. The market segment that is most price inelastic will be charged the highest price. Similar results hold when the markets are not independent and prices in uence demand across markets. A simple but clever way to implement group pricing is through discount coupons. The service is offered at a discount price to customers with coupons. It is time consuming to collect coupons. One class of customers is prepared to put in the time and another is not. The customers are effectively divided into two groups by their price elasticity. Those with a greater price elasticity will collect coupons and end up paying a lower price. It is interesting to ask whether or not the overall economy bene ts from third degree price discrimination. The answer is that it can go either way. Price discrimination can only take place if different consumers have unequal marginal utilities at their levels of consumption,

Telco Errors (16%) Hardware Errors (10%) Power Errors (9%) Human Error (62%) Unresolved Errors (3%)

A central reason for employing formal risk management is the pursuit of risk ef ciency . Arguably the most dif cult motive to understand, it is certainly the most important. It is the central reason why risk management should not be seen as an add-on , an overhead, with limited focus on questions like is this project worth investing in It is the central reason why risk management should be seen as an integrated add-in , an improvement to the basic project planning process that is always worthwhile. BP understood this and acted on it in the 1970s, and it was a published aspect of their process at an early date (Chapman, 1979). However, many organizations with long-standing RMPs still do not understand it. Example 3.1 illustrates what is involved.

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Conditions based on values of attributes of object instances in the repository: The policy repository will contain not only policies (the policy information model), but also object instances representing information about the system being modeled and operated upon (the device information model). For example, in an MPLS traf c engineering scenario, the repository would contain object instances representing traf c trunks, LSPs, and associations between a traf c trunk and its currently assigned LSP and its backup LSPs, if any. Policy conditions could then be formed that express a condition in terms of the attributes of these object instances for example, LSP bandwidth > 10 Mbps.

packet to transmit. Thus there can exist several simultaneous transmissions that all have the same frequency, but are distinguished by the speci c code that they employ. CDMA schemes are popular in commercial cellular (wireless) networks, and several commercial vendors currently offer CDMA-based cellular telephone services. The operation of CDMA is similar to that of FDMA, with the exception that the use of a special frequency is replaced with the use of a special code. Therefore, similar issues and challenges exist in terms of code allocation and coordination, just as was the case in FDMA with frequency allocation and coordination; these challenges were discussed in the previous section. Additionally, just as in the case of FDMA and time-based access schemes, a COF can help in realizing ef cient code allocation and coordination in MANETs. 6.5.2.4 Con guring MAC Parameters. The last few sections provided a brief overview of different approaches to controlling medium access, the key OSI layer 2 function, and described the con guration management operations that need to be applied at this layer (i.e., allocation of timeslots, frequencies, codes, etc., depending on the MAC scheme in use). The layer 2 entities that need to be dynamically and adaptively con gured in MANETs include the following.

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Monique, an attractive and vivacious woman, sought therapy hoping to prevent the disintegration of her third marriage1 As she describes her problem, her emotions run the gamut from laughter to sadness Whenever in a relationship, she would eventually become bored, (laughter) start showing interest in more exciting males, and eventually return to partying and drinking Can you imagine me in a s-e-x-u-a-l affair she asks the interviewer playfully with a feigned innocence As a recovering alcoholic, Monique thought she might be on the brink, but wanted to take a good look at herself before ruining her marriage to the loving husband who had bonded so well with Jacqueline, her daughter from her first marriage Monique s history foreshadows her current situation She is four years older than her sister, her only sibling.

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