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A single item differs between Acrobat and Reader in the Options dialog box: Save as Optimized for Fast Web View: When using the File Save As command, Acrobat saves files optimized when the checkbox is enabled. Users of earlier versions of Acrobat will remember the Optimize option was contained in the Save As dialog box. This option no longer exists in this dialog box, as I explain later in this chapter. For optimization of PDFs, be certain to keep this checkbox enabled.

which is called the queue e olution equation. Let Bk s Bkq1 for simplicity. Then x k t q T . s x kq1 t q T . from 7.5. implies

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was completed with the creation and publication of CIECAM97s (see 15 and CIE 1998) The TC1-34 analyses of the CSAJ data included calculations of RMS deviations in CIELAB space for the chromatic adaptation, Stevens effect, and Hunt effect data For the chromatic adaptation data, the Hunt, RLAB, and CIELAB models perform similarly to one another and better than the others They are followed, in order of performance, by the Nayatani et al, LABHNU, and CIELUV models For the Stevens effect data, the Hunt model performs best, followed by RLAB, CIELAB, LABHNU, and CIELUV, which perform identically since they predict no effect The Nayatani et al model performs worst since it over-predicts the effect For the Hunt effect data, the Hunt model performs best, the Nayatani et al next, followed by the models that do not predict any effect (RLAB, CIELAB, LABHNU, and CIELUV).

more research is needed in ef cient runtime computer resource allocation as well as application and system adaptive data partitioning. Structured adaptive mesh re nement (SAMR) is widespread and established as one of the most ef cient approaches to scienti c simulations based on partial differential equations (PDE) [31]. Despite its ef ciency, SAMR is far from the point where scientists can routinely use it for arbitrary realistic three-dimensional simulations. Current application domains include climate modeling [13], computational uid dynamics [4], numerical relativity [8], astrophysics [7], subsurface modeling, oil reservoir simulation [33], electromagnetic eld simulations [11], and ame simulations [12]. Independently, both the huge data sets involved and the demand for reasonable execution times require these simulations to be executed in parallel. Although parallelization of SAMR applications is straightforward, achieving high performance is not. The parallel performance is dictated by the ability to simultaneously trade-off and balance computing load, optimize communication and synchronization, minimize data migration costs, maximize grid quality, and expose and exploit available parallelism. Addressing all that is the task of the data partitioner. Partitioning techniques for SAMR have traditionally been classi ed as either domain based or patch based. Both techniques have signi cant inherent shortcomings. For realistic simulations with complex re nement patterns and many levels of re nements, domain-based partitioners generate intractable load imbalances, while patch-based partitioners generate signi cant communication bottlenecks. Moreover, because of the dynamics present in adaptive simulations, a key requirement for the partitioner is to be exible and con gurable. Domain-based and patch-based techniques both have a narrow scope: they both have a limit beyond which they cannot perform

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Additional analyses of the LUTCHI data contributed to CIE TC1-34 show that the Hunt model performs best, followed by RLAB, CIELAB, and then nally the Nayatani et al model The TC1-34 summary of the RIT direct model tests shows differing results for images and simple stimuli For images, the Hunt, CIELAB, and RLAB models perform similarly and best, followed by Nayatani et al and LABHNU in a tie, and then by CIELUV with the worst performance For simple stimuli, the Hunt model performed best, the CIELUV model worst, and the others performed similarly in between those two An overall ranking of the TC1-34 analyses results in the following ordering of model performance: Hunt, RLAB, CIELAB, Nayatani et al, LABHNU, and CIELUV.

An example of an interface function is shown in the following lines:

Photoshop 6 provides a new File menu command, Open Recent, which displays a list of the images you worked on in recent Photoshop sessions. Click the name of the image you want to open. You set the number of files that appear on the list by entering a value in the Recent File List Contains option box, found on the Saving Files panel of the Preferences dialog box (Ctrl+K and then Ctrl+2). The maximum value is 30.

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