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32 of the framework in Figure 189, respectively We rst introduce a scheme for coloring P0 and a scheme for coloring a subset of P1 The scheme for P0 , called S31, works as follows Let A and B be the sets of paths on special links {u, u } and {w, w }, respectively Then Q0 = A B De ne A0 A (resp B0 B) to be the set of paths on link {u, u } (resp on {w, w }), each of which has a color in WA \ WB (see Fig 1811a) We construct a graph G0 with V (G0 ) = P0 A0 and E(G0 ) = {{p, q} | p and q are edge disjoint} We nd a maximum matching M0 of G0 .



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Part of the problem, it will be argued, is that we, as a society, are not entirely sure what the proper or main purpose of trials is Because of that it is dif cult to be prescriptive about the conduct of counsel This chapter will, however, proceed with an examination of advocacy skills and their effect on witnesses..





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It was straightforward to apply the same approach to compute triangularity [51]. Moreover, since linear time (w.r.t. number of polygon vertices) algorithms are available to determine the minimum area bounding triangle [37,39], this measure could be computed ef ciently. Many other similar measures are possible, and we note that there are also linear time algorithms available to nd bounding circles [18] and bounding ellipses [19] that can be used for estimating circularity and ellipticity. A more rigorous test of shape is, given a realization of an ideal shape, to consider uctuations in both directions, that is, intrusions and protrusions. Thus, in the eld of metrology there is an ANSII standard for measuring roundness, which requires nding the minimum width annulus to the data. This involves determining the inscribing and circumscribing circles that have a common center and minimize the difference in their radii. Although the exact solution is computationally expensive, Chan [8] presented an O(n + 2 ) algorithm to nd an approximate solution that is within a (1 + )-factor of optimality, where the polygon contains n vertices and > 0 is an input parameter. We note that, in general, inscribed shapes are more computationally expensive to compute than their equivalent circumscribing versions (even when the two are tted independently). For instance, the best current algorithm for determining the maximum area empty (i.e., inscribed) rectangle takes O(n3 ) time [10] compared to the linear time algorithm for the minimum area bounding rectangle. Even more extreme is the convex skull algorithm; the optimal algorithm runs in O(n7 ) time [9] compared again to a linear time algorithm for the convex hull.

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Notice that G0 is bipartite and for each pair {p, q} M0 , p P0 , and q A0 For each pair {p, q} M0 , assign the color of q A0 to p The second scheme, called S32, is used to color the subset P12 of P1 that contains the long paths on rings r1 and r2 (see Fig 1811b) Let A and B be the sets of long paths on links {u, u } and {u, u+ }, respectively Then Q1 = A B De ne A0 A (resp B0 B) to be the set of paths on link {u, u } (resp on {u, u+ }), each of which has a color in WA \ WB (see Fig 1811b) We construct a graph G0 with V (G1 ) = P12 A1 and E(G1 ) = {{p, q} | p and q are edge disjoint}.

Like equities and bonds, currencies are also investment vehicles, a means to earn a return in the marketplace. Investors based in country X might choose to save local currency (U.S. dollar for the United States) holdings in something like an interest-bearing checking account or a three-month certificate of deposit (a short-term money market instrument) or they might even stuff it under a mattress. Alternatively, they might choose to spend local currency

(Hartley)

We nd a maximum matching M1 of G1 For each pair {p, q} M1 , either p P12 and q A1 or p, q P12 For each pair {p, q} with q A1 , assign the color of q to p For each pair {p, q} with p, q P12 , assign the pair a same color Algorithm A2 follows the framework in Figure 189 Step 2 of A2 is the same as that in Algorithm A1 Step 31 uses Scheme S31 In Step 32, we rst use Scheme S32 to color the long paths in P12 Then we color the short paths on r1 and those on r2 Let Q be the set of all long paths on u and r1 .

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We assign the short paths on r1 the colors of W \ WQ by the rst- t coloring such that the set of short paths is assigned distinct colors Let Q be the set of all long paths on u and r2 We assign the short paths on r2 the colors of W \ WQ by the rst- t coloring such that the set of short paths is assigned distinct colors..

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