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Thus, C is the core energy of an electron localized to the 2p atomic orbital of a carbon atom, and CC is the energy associated with the interaction of two carbon 2p orbitals overlapping in a p (parallel) fashion at the C C separation of benzene (or ethylene). HETEROATOMS IN SHMO THEORY In SHMO, the core energies of heteroatoms, X, are speci ed in terms of and , and the interaction matrix elements for p orbitals overlapping in a p fashion on any pair of atoms, X and Y, are speci ed in terms of . Thus, X hX j j XY kXY j j 5X14 5X15

Changes to database since last update Figure 3-4 How do you know what source data to scan Do you scan every record every day Every week

Figure 172 this is two times At each change of direction, the driver must get out of the cabin and walk to the other side of the train (all trains have a cabin on both sides) to continue driving in the opposite direction The planner may block several tracks if he wants them to be available for other purposes A route is feasible if it consists of connected tracks that may be passed by this speci c train within a short interval of three minutes and if the movements occur at tracks where they are allowed If there are more solutions with the same number of direction changes, the alternatives should be ordered according to their total mileage This description contains several elements that point to a shortest path algorithm, which nds the shortest route from a source node to a sink node in a network of connected nodes.

Fig. 3.16 Directional patterns of the beamformer plotted for frequencies from 4.89 GHz to 5.61 GHz. Source: M. Ghavami, Wide-band smart antenna theory using rectangular array structures, IEEE Trans. Sig. Proc., Vol 50, No 9, pp 2143-2151, Sept, 2002 @ IEEE.

Several algorithms are available from operations research and computer science Dijkstra (1959) was the rst to present an algorithm that minimizes the distance from the source node to all other nodes if arc lengths are non-negative Floyd (1962) and Dantzig (1967) generalized this algorithm to determine the shortest distance between all nodes in the network (graph) Shier (1976) found an ef cient single-pass algorithm to determine the K shortest paths in an undirected graph Eppstein (1998) gives an excellent review of different K-shortest-path algorithms for directed and undirected graphs.

Adds a group of elements to the form. Element groups allow you to treat a bunch of elements much like a single element. They re useful for visually grouping elements in a form, and also for logical grouping (such as creating a group of related radio buttons).

The question is, Which of these shortest-path algorithms ts best with the requirements speci ed for the subtask, and how does this algorithm need to be tailored in order to solve the subtask First, we note that the two objectives (the primary objective is to minimize the number of movements, and the secondary objective is to minimize the routing distance) can be transferred to a single objective by using a weight function with the weight per movement being larger than the largest distance of any route Next, we design our network All tracks that we might use in the route (ie, they are neither blocked nor unavailable during the routing time window) are de ned as nodes The arc length between any pair of nodes is in nite unless the tracks of the two nodes are physically connected and reachable.