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You have spent the money to outfit yourself with a great DSLR system, and spend your time, energy, and talent getting the best photos you possibly can. Maintaining a good color management system is the final step in the process that makes it all worthwhile. Otherwise, the colors and tones of your photos will be left to guesswork, and you will end up wasting lots of paper, inks, and time trying to get good prints.

Since all steady-state probabilities depend via the multiplicative factor p on po, we have to assume that p > 0, otherwise all pi would be equal to 0. In doing so, we may divide the above equation by pi- , so that we obtain

In this chapter, you learned how to format text boxes and the paragraphs within them. You learned about bulleted and numbered lists, tabs and indents, vertical and horizontal alignment, and more. Now you have the tools you need to set up a text-based presentation. (Don t worry, graphics are coming up in Part II of the book!) But what good is nice-looking text if it s inaccurate or contains spelling errors In the next chapter, you learn how to make corrections to text with the spelling checker and the research tools, and you learn how to automate certain types of corrections.

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where the state equation is a nonlinear dynamical system, and the output equation is a linear one. From a theoretical point of view, we can easily nd the inverse of the statespace models in the same form, if the matrix D is invertible. In fact, the inverse system is expressed by (k + 1) = F (k), D 1 (x(k) C (k)) , (12.9)

Notice that the image lightens a bit, and you actually lose a bit of detail on the upper levels, as shown in Figure 13.39.

own experiences of teachng computer programming suggest that, when faced with completely unknown phenomena, it is not only children who adopt animistic explanations It is often easier to teach some computer concepts by using explanations such as 'the computer does not know. ', than to try to teach abstract principles first An obvious question is then, if we have alternative, perhaps less contentious ways of explaining systems: why should we bother with the intentional stance Consider the alternatives available to us One possibility is to characterize the behaviour of a complex system by using the physical stance (Dennett, 1996, p 36) The idea of the physical stance is to start with the original configuration of a system, and then use the laws of physics to predict how this system will behave.

But, just like manual entry, it has its disadvantages:

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When I predict that a stone released from my hand will fall to the ground, I am using the physical stance I don't attribute beliefs and desires to the stone; I attribute mass, or weight, to the stone, and rely on the law of gravity to yleld my prediction (Dennett, 1996, p 37) Another alternative is the design stance With the design stance, we use knowledge of what purpose a system is supposed to fulfil in order to predict how it behaves Dennett gives the example of an alarm clock (see pp 37-39 of Dennett, 1996) When someone presents us with an alarm clock, we do not need to make use of physical laws in order to understand its behaviour We can simply make use of the fact that all alarm clocks are designed to wake people up if we set them with a time.

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