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1 Qv+l ( x , y), then Qu+l (x,0) = 0. By the construction (7.98), p j ( x ) = 0 for j v + 1. The condition y I Q , , + l ( x , y) is equivalent to ( y - p u + l ( x ) )1 Q , + l ( x , y ) . Thus by Theorem 7.29, it must be the case that

1. With the dynamic page open, choose Window Server Behaviors. 2. In the Server Behaviors panel, click Add (+) and select XSL Transformation from the list.

9.1.2. The object to be measured The choice of instruments, the methods and the precautions will vary depending on the object to be measured. Thus, the pressure exerted by a sensor to measure dimensions is acceptable if the part you examine is made of metal, but it must be rejected if the object is soft. The length of a material will raise other measuring problems. Finally, if the object the length of which you want to know is a red-hot metal ingot, you will have to use non-contact, then optical, methods. Another example: electric resistances with two, three or four terminals require different methods and measuring equipment.

10 7

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Objectives: achievable, 4; clear, 3 4. See also Goals Opportunity costs, 9 Organizational context, 25 49; case study of, 26 29; as problem for project managers, 25; responsibility vs. authority of project manager in, 29 32; types of authority in, 32 36. See also Environment Organizations: factors in, contributing to project failure, 18 19; requirements of, and amount of planning and control, 171 Outsourcing, to control resources, 207 Overhead costs, in budgets, 187, 188 Overruns: due to excessively exible speci cations, 153; unacceptable, vs. acceptable variances, 169 Oversights, imprecise speci cations due to, 145

and from this and substitution of y v 3 tan (3x u c),

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user interfaces are highly exible because they allow the user to explore and test out different scenarios and assumptions 7 discusses model-based reasoning techniques and how they may be employed to create more interactive intelligent systems This technique offers a powerful alternative to more traditional rule-based representational systems By model-based reasoning, I am referring to a class of AI techniques that involves the analysis of both the structure and the behavior of a system Model-based reasoning systems start out with some kind of diagram and then reasons with the diagram to help solve dif cult problems We will look at two applications of model-based reasoning First, we will look at how model-based reasoning can be used to aid in the fault diagnosis of a simple device Second, we will look at how model-based reasoning can be used to help in the design of business logistics networks.

If a charger is plugged into the charger jack, it charges the battery. The unit is off, but charging. If no charger is attached, the unit is simply off.

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