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procedure nds an interval containing the slice with the property that the two outermost steps locate the endpoints of the slice to within an interval of size w. Then a bisection procedure locates the endpoints of the interval more precisely. A new interval is formed from the improved endpoint locations. Let L and R be the left and right endpoints of this interval. To obtain an overrelaxed update, ip the current point 0 to a new point 1 : 1 = L+R L+R 0 2 2 = L + R 0 . (5.52)

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demand curve by taking the equation of the demand curve shown in Figure 12-1, p = 10 q; substituting it into the total revenue equation, TR = p q; and then taking the first derivative with respect to output, q. Because marginal revenue is dTR/dq, you find that MR = 10 2q, meaning that MR has the same vertical intercept as the demand curve but twice as steep a slope. Now that you ve seen the marginal revenue situation facing a monopoly, you can combine it with the firm s marginal cost curve to figure out the profitmaximising output level. As we show you in the next section, this level is less than that chosen by a competitive firm a behaviour that leads to social harm, which can be quantified using the method of deadweight losses that we explain in detail in 11.

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a parallel between distance and time, and thus put our wave-based approach into action In cellular automaton representation of physical reality, cell neighborhood u determines that all processes in the cellular automaton model are constrained to the discrete metric L So, when studying automaton models we should think rather about discrete Voronoi diagram than its Euclidean representation Chemical laboratory prototypes of reaction diffusion computers do approximate continuous Voronoi diagram as we will see further A discrete Voronoi diagram can be de ned on lattices or arrays of cells, for example, a two-dimensional lattice Z2 The distance d( , ) is calculated not in Euclidean but in one of the discrete metrics, for example, L1 and L A discrete bisector of nodes x and y of Z2 is determined as B(x, y) = {z Z2 : d(x, z) = d(y, z)}.

Spectroelectrochemistry [3] is the field in which electrochemistry is combined with spectroscopy. Spectroelectrochemical techniques are useful in studying the electrochemical phenomena that occur both in solutions and at electrode surfaces. Here, only the phenomena in solutions are considered. In a typical spectroelectrochemical measurement, an optically transparent electrode (OTE) is used and the UV/vis absorption spectrum (or absorbance) of the substance participating in the reaction is measured. Various types of OTE exist, for example (i) a plate (glass, quartz or plastic) coated either with an optically transparent vapor-deposited metal (Pt or Au) film or with an optically transparent conductive tin oxide film (Fig. 5.26), and (ii) a fine micromesh (40 800 wires/cm) of electrically conductive material (Pt or Au). The electrochemical cell may be either a thin-layer cell with a solution-layer thickness of less than 0.2 mm (Fig. 9.2(a)) or a cell with a solution layer of conventional thickness (* 1 cm, Fig. 9.2(b)). The advantage of the thin-layer cell is that the electrolysis is complete within a short time (* 30 s). On the other hand, the cell with conventional solution thickness has the advantage that mass transport in the solution near the electrode surface can be treated mathematically by the theory of semi-infinite linear diffusion. Spectroelectrochemistry with a thin-layer cell is used to determine the formal potential of a redox system. The absorption curves in Fig. 9.3 were obtained with a thin-layer cell containing a solution of [TcIII(dmpe)2Br2]+ (dmpe = 1,2bis(dimethylphosphine)ethane) in 0.5 M Et4NClO4-DMF [4]. On each curve is

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