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The drawing used in the following exercise on using snap points and grid dots, ab04-b.dwg, is in the Drawings folder on the CD-ROM.
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Finally, we must consider the form of A,. From the definition of the vector potential and from Maxwell s equations, we find
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Note If you turn off Noun/verb selection, as I explain in Customizing the selection process in 9, you cannot select an object and change its layer from the Layer Control dropdown list. Instead, you can change the layer in the Properties palette.
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Figure 7-22: To build the repeating pattern shown in Figure 7-25, I started by creating a grid of nine image tiles. As you can see, the seams between the tiles in this grid are harsh and unacceptable.
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I end this section with some discussion of the physics of radiation. If this is unfamiliar to you, the details aren't all that crucial, though some of the results will be used later in the book. If particles are frequently interacting with one another, then the distribution of their energies can be described by equilibrium thermodynamics. In a thermal distribution, interactions are frequent, but a balance has been reached so that all interactions proceed equally frequently in both the forward and backward directions, so that the overall distribution of particle numbers and energies remains fixed. The number of particles of a given energy then depends only on the temperature. The precise distribution depends on whether the particles considered are fermions. which obey the Pauli exclusion principle, or bosons, which do not. In this book the most interesting case is that of photons, which are bosons, and their characteristic distribution at temperature T is the Planck or black-body spectrum. Photons have two possible polarizations, and each has an occupation number per mode N given by the Planck function
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Table 8.44 lists the results.
The general methodology and description of the algorithm of the DS and DE are shown in Figure 17.4. In this description, sending site (SS) and receiving site (RS) are synonymous with examination site and expert center, respectively. Table 17.1 lists the symbols used in this section. 17.3 DIGITAL ENVELOPE
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difference method and the granularity constraint, maintaining appropriate computation/communication ratios to maximize performance and minimize communication overheads. A subregion is de ned by a bounding box with lower bound and upper bound coordinates and the strides/steps along each dimension. The subregion list input to the SBC algorithm is created by applying the SFC indexing mechanism on the entire domain that consists of patches of different re nement levels. SBC follows the SFC index to extract subregions (de ned by rectangular bounding boxes) from the subregion list until the size of the accumulated subregion set is over the template size. It then calculates the load density for this set of subregions and computes a histogram of its load density. SBC continues to scan through the entire subregion list, and repeats the above process, calculating the load density and computing histograms. Based on the histogram of the load density obtained, it then nds a clustering threshold . A simpli ed intermeans thresholding algorithm by iterative selection [27, 28] is used as shown below. The goal of the thresholding algorithm is to partition the SFC-indexed subregion list into two classes C0 and C1 (which may not necessarily be two clusters as shown in Figure 20.7) using an optimal threshold T with respect to LDF, so that the LDF of all subregions in C0 T and the LDF of all subregions in C1 > T . Let 0 and 1 be the mean LDF of C0 and C1 , respectively. Initially, a threshold T is selected, for example, the mean of the entire list as a starting point. Then, for the two classes generated based on T , 0 and 1 are calculated, and a new threshold is computed as T = ( 0 + 1 )/2. This process is repeated until the value of T converges.
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