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Assume in the preceding examples that adequate interest was charged. The seller sold real estate for $50,000 down and took a purchase money mortgage from the buyer for $400,000. The seller may have been willing to sell the real estate subject to a large purchase money mortgage because he had no urgent need for the cash and was content to receive payments over four years with interest. On the other hand, he may have been willing to take back the purchaser s notes because it was the only way to make the deal. Suppose the seller has a strong need for cash shortly after the sale. It may be possible to sell the installment notes, but if he does, he will be forced to report all the remaining gain for tax purposes. If Howard Homeowner sold his $400,000 of installment notes right

183 LOGICAL TOPOLOGY DESIGN PROBLEM Given a set D of traf c demands in a WDM network G, it is preferred to realize all demands of D by all-optical routing However, this may not be possible due to some constraints such as limited wavelength channels In this case, some traf c demands may have to be realized by multihop routing If data are routed via k intermediate nodes, the routing is called (k + 1)-hop routing The logical topology design problem is to de ne a logical topology R over V (G) (or the set of nodes in D) such that every pair of nodes of V (G) (or the set of nodes in D) is connected by R To realize R on G, each connection request (u, v) R is realized by a light path in G (all-optical routing).

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162 LEO SATELLITE NETWORKS AND MAIN QoS PARAMETERS Although providing signi cant advantages over their terrestrial counterparts, LEO satellite networks present protocol designers with an array of daunting challenges, including handoff, mobility, and location management [8] Because LEO satellites are deployed at low altitude, Kepler s third law implies that these satellites must traverse their orbits at a very high speed We assume an orbital speed of about 26,000 km/h As can be seen in Figure 161, the coverage area of a satellite a circular area of the surface of the Earth is referred to as its footprint For spectral ef ciency reasons, the satellite footprint is partitioned into slightly overlapping cells, called spotbeams As their coverage area changes continuously, in order to maintain connectivity, MHs must switch from spotbeam to spotbeam and from satellite to satellite, resulting in frequent intra and intersatellite handoffs.

This is also known as the embedding R to G For a traf c demand (s, t, dst ) D, if s and t are connected by a logical path of length k in R then the routing from s to t is realized by k-hops of routing A primary goal in the logical topology design is to provide the connectivity required by the nodes of G (or D) using a minimum number of colors Since add/drop operations at intermediate nodes are the major bottleneck for data transmission, another key issue in the design is to provide the connectivity using a minimum number of hops This is equivalent to de ne a topology R with small diameter The logical topology design problem is dif cult for arbitrary network G and arbitrary set D of traf c demands.

EC-ESR cells for this purpose are the same as those used for the study of radical ions [20] Using the ESR method, it is possible to determine the site in the complex at which the electronic change takes place, ie whether it is the central metal, the ligand or the delocalized molecular orbital (see Section 822 for an example) [21] When a metal ion with a rare valence state is formed by an electrode reaction, the ESR method can detect it For example, it was found by the combined use of cyclic voltammetry, ESR spectroscopy and UV/vis spectroscopy that, when [Hg(cyclam)](BF4)2 complex (cyclam = 1,4,8,11-tetraazacyclodecane) was electrolytically oxidized in propionitrile at 78 8C, a complex of Hg(III) ([Hg(cyclam)]3+) with a half-life of about 5 s was formed [22].

The design problem may depend on the RWA problem and the traf c grooming problem In most cases, the problem is modeled as an integer linear programming problem with speci ed optimization goals Readers may refer to other works [16,41] for more details..

In general, it s probably good advice to avoid programming in this fashion. Explicit is better than implicit:

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