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Ideally, the computational model is automatically generated from a highlevel description based on a formal and well-understood approach such as GSPNs or SRNs. In this case, verification is implicitly provided through the proven correctness and completeness of the techniques and tools employed. In practice, heuristics are often applied and, even worse, model generation is carried out manually. In this case, verification of the correctness of the computational model with respect to a given high-level description is of importance. But because approximations are often used, correctness is not given by a one-to-one relation between computational model and high-level description. Thus errors incurred need to be explicitly specified or bounded. Note that the distinction between a high-level description and a computational model may sometimes be conceptual when the two representations coincide. Both the issues of model generation and analytical/numerical solution methods are the main topics of this book. Once computational results have been produced, they need to be validated against data collected through measurements, if available, and against system requirements. The validation results are used for modification of the existing (high-level) model or for a proof of its validity. Of course, many iterations may be required for this important task. Note that a change in the model might ultimately result in a change in the system design. There is a strong relation between measurements and modeling. Measurement data are to be used for model validation. Furthermore, model parumeterixution relies heavily on input from measurement results. In case of a system design where the computer system does not yet exist, input usually comes from measurements of earlier studies on similar systems. Conversely, measurement studies are better planned and executed if guided by a model and by requirements placed on the computer system to be measured. In prac-

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feelings of being overwhelmed, or just boredom, but whatever causes there are come together at the office It would be kind to say she is less than cordial to her employees She never yells, but she never smiles either She rarely says something as simple as please or thank you to the people working for her Commands are barked into an intercom system repeatedly throughout the day She avoids face-toface contact at all costs Here s this really nice woman who, for whatever reason, turns grumpy and gruff when she gets to work She is obviously capable of being pleasant, but she isn t As a result, she has a company that reflects how she behaves Her excuse is that she is just being expedient and efficient, but it comes across as being short and demanding.

You ve gotten a taste of what can happen in your multiuser applications: Performance can suffer, and users can change each other s data and encounter errors when a locking conflict occurs. The good news is that you can plan for the errors, specifically by trapping for errors 3260, 3186, 3188, and 3197. The next sections explain what each of these errors means, and give you some routines to help you use them (instead of becoming their victim).

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So that culture then becomes engrained, and the employees do the same things to their vendors, customers, and even potential new hires Customers misinterpret their stoicism as indifference Partners misinterpret their concentration on the task at hand for lack of empathy Potential all-stars are often put off by the tone of the interview process A friendly woman with an unfriendly company is a real shame Despite my repeated advice, this undesirable culture is so ingrained, I see little chance of them ever achieving sustained growth Contrast this with a company I often buy from called CD Baby I ve never met founder Derek Sivers, but I feel like I know him He was a musician and a circus performer He helped people get their independent music out; then the Internet came along, and now he has a $10 million company The culture there is one of mission-driven fun.

In addition to the standard filters that can be applied to a single image, several more filters, called layer events, can be applied to two or more images or rendered scenes. The Add Layer Event button (Ctrl+L) is available on the toolbar only when two image events are selected in the Queue pane. The first image (which is the selected image highest in the queue) becomes the source image, and the second image is the compositor. Both image events become subevents under the layer event.

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