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where second and higher order terms have been neglected (see Ref. [29]). To compute the sensitivity terms H(x, t)/ ln K(x) and H(x, t)/ ln Ss (x) needed in (3.8), the following adjoint-state equation, which is in fact a backward transient problem, must be solved for each pair of measurement location xj and measurement time level tl : + K = (x xj )(t tl ), (3.9) t with suitable boundary and nal conditions. That is, (3.9) is solved backward in time from t = tl to t = 0. It should be noted that both (3.2) and (3.9) need to be solved during each iteration, when new estimates of K(x) and Ss (x) are updated. Ss crystal reports barcode 39 free Create Code 39 Barcodes in Crystal Reports - BarCodeWiz Step 2. Locate the Code 39 Functions. 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Figure 13.12 Operational procedure of a digital voice system connected with the PACS starts with (top) radiologist at the primary diagnostic WS dictating a report with the digital dictaphone system. Yellow: radiologist uses the digital dictaphone system; green: clinician reviews images with digital voice report; blue: housekeeping steps. This is because the application is highly dynamic with scattered re nements during this period. The snapshot at the regrid step 96 in Figure 20.3 illustrates the scattered re nements. This in turn causes signi cant cluster movement during reclustering. Note that the exiting simulator does not measure synchronization costs and thus does not re ect full performance bene ts that can be achieved using AHMP. The actual performance gains due to AHMP are seen in Figure 20.15 based on actual runs. Clustering Costs The cost of the SBC clustering algorithm is experimentally evaluated using the six different SAMR application kernels on a Beowulf cluster (Frea) at Rutgers University. The cluster consists of 64 processors and each processor has a 1.7 GHz Pentium 4 CPU. The costs are plotted in Figure 20.13. As seen in this gure, the overall clustering time on average is less than 0.01 s. 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