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These constraints include factors such as the retinal locus of stimulation, the angular subtense, and the luminance level. In addition, the two stimuli must be viewed with identical surrounds, backgrounds, size, shape, surface characteristics, illumination geometry, etc. If any of the above constraints are violated, it is likely that the color match will no longer hold. However, in many practical applications, the constraints necessary for successful color-match prediction using simple tristimulus colorimetry cannot be met. It is these applications that require colorimetry to be enhanced to include the in uences of these variables. Such enhancements are color appearance models. The various phenomena that break the simple XYZ tristimulus system are the topics of the following sections of this chapter. Figure 6.1 illustrates a simple example of one color appearance phenomenon: simultaneous contrast, or induction. In Figure 6.1(a), the two gray patches with identical XYZ tristimulus values match in color since they are viewed under identical conditions (both on the same gray background). If one of the gray patches is placed on a white background and the other on a black background as in Figure 6.1(b), the two patches no longer match in appearance, but their tristimulus values remain equal. Since the constraint that the stimuli are viewed in identical conditions is violated in Figure 6.1(b), tristimulus colorimetry can no longer predict a match. Instead, a model that includes the effect of background luminance factor on the appearance of the patches would be required.

IEEE oating-point standard, 42 If and only if (iff), 32 Ill-conditioned matrix, 132 Increment function, 437 Incremental condition estimation (ICE), 367 Inequality Cauchy-Schwarz, 15 Holder, 10 Minkowski, 10 Schwarz, 24,36 In mum, 5 Initial conditions, 528 529 Initial value problem (IVP) Adams-Bashforth (AB) methods of solution, 459 461 Adams-Moulton (AM) methods of solution, 461 462 Chaotic instability, 437 De nition, 415 416 Euler s method of solution (explicit form), 423,443 Euler method of solution (implicit form), 427,443 Global error, 465 Heun s method of solution, 433,453 Midpoint method of solution, 457 458 Model problem, 426,443 Multistep predictor-corrector methods of solution, 456 457 Parasitic term, 459 Runge-Kutta methods of solution, 437 441 Runge-Kutta-Fehlberg (RKF) methods of solution, 464 466 Single-step methods of solution, 455 Stability, 421,423,427,433,436, 445 447,458 459,462 463 Stability regions, 463 Stiff systems, 432,467 469 Trapezoidal method of solution, 436 Truncation error per step, 432 434 Inner product, 14 Inner product space, 14

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From the symmetry of the situation and our knowledge of the fields of the charge moving in a vacuum, we expect a solution with B, = 0, B, = 0, and EB = 0. If we express the remaining field components in terms of their Fourier transforms according to

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Figure 23.8 Database schema of the RT Web application server based on a multimedia ePR system in RT prototype developed in the Hong Kong Polytechnic University. Although the database schema is generic, it can be modi ed for other oncology departments with different work ows, treatment plans, and viewing conditions. (Courtesy of Dr. M. Law)

At the first sight, this is the best linear unbiased estimator. However, since the elements of C are generally functions of 8, the elements of C in (5.280) depend on i, making this

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Where there used to be a home stereo, DVD player, CD player, VHS recorder, TiVo, and a box full of remote controls, you can now replace them all with just one device: a Windows XP Media Center Edition PC (referred to henceforth as a Media Center PC ). It will enable you to do everything all of the old devices did, but all in one device, with one remote control, and with one common user interface and set of controls. Even better, all of your entertainment content can be accessed easily and can work together. A good example is creating a DVD: Your picture les create the backgrounds in

It can be easily proved to be a convex optimization problem and that the LICQ condition holds. Therefore we can use the KKT conditions in Lemma 2 to determine the optimal solution. In order to do so, we first construct the Lagrangian of (5.22) as

Table 29-1 ENCAPSULATION DEVICES Routers, hosts IP, Internetwork packet exchange (IPX) DESCRIPTION Packets EXAMPLES OR PROTOCOLS

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