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A major issue in this kind of algorithms is how solutions are encoded, because it will determine the set of search operators that can be applied during the exploration of the search space. Let T be the number of TRXs needed to meet the traf c demand of a given GSM network. Each TRX has to be assigned with a channel. Let Fi N be the set of valid channels for transceiver i, i = 1, 2, 3, . . . , T . A solution p (a frequency plan) is encoded



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This very modest value was due to the large element spacing; signi cant SDR for a broadside array requires d/ much less than 05 Multiple power pattern constraints were used by Kurth (1974) with directivity optimization Constraints on both main beam and sidelobe were used, leading to the common ratio of Hermitian quadratic forms solved by Lagrangian multipliers A circular array of dishes was used as an example Cox (1986) obtained a modest superdirectivity for an acoustic end re array for various angular distributions of white noise He also discussed oversteering past end re to increase directivity Apparently, the acoustics community was not familiar with Hansen Woodyard! Dawoud and Anderson (1978) used Chebyshev polynomials to optimize the ratio of beam peak value for a superdirective array to beam peak value for a uniformly excited cophasal array As the beamwidth narrows, this ratio rapidly decreases.





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The need to introduce GSM in phases had already been recognized before 1990. Some features had been deferred rather early to phase 2, for example:

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There are occasions when it is more useful to observe behaviour than to interview the respondent about it. Observation is usually used to complement other research methods in marketing research, rather than being used alone, as this method can identify patterns of behaviour, but cannot provide information on the reasons behind that behaviour. There are a number of methods available for the observation of behaviour, as follows. Personal observation The researcher observes behaviour and records it as it occurs. The skill and the objectivity of the researcher play a key role in the collection of unbiased data. The audit data are collected by taking an inventory of certain products or brands at the premises (at home or of ce) of the respondent. This type of ethnographic research (observing respondents in natural settings, e.g. observing fashion buyers at trade fairs) is particularly useful in fashion marketing research. Methods such as accompanied shopping can provide insight into the processes by which decisions are made. Using this method the researcher would accompany the respondent on a shopping trip, often following a prior discussion of the process in the respondent s home, observe the respondent and often use direct questioning to gain insight into underlying reasons for certain behaviour, e.g. why certain products attracted the

However there seems to be no simple relationship between this ratio and SDR Another polynomial approach, by Dawoud and Hassan (1989), used Legendre polynomials instead of Chebyshev polynomials The former yields slightly greater directivity for a broadside array with small spacing in wavelengths The calculated directivities (SDR = 62) seem to be much too high for the 3 dB beamwidth shown..

that is, the mobile nodes execute tasks in parallel (M ) and the optimization criterion is the weighted sum of execution costs ( wj Cj ) Problems in this class are strongly N P-hard [171] Even for relatively small problems, the exponential space of possible schedules precludes enumerative solutions A way of treating these problems is to ignore the time-extended component For example, given m mobile nodes and n static nodes, the following approximation algorithm can be used: 1 Optimally solve the initial m n assignment problem 2 Use the greedy algorithm to assign the remaining tasks in an online fashion, as the robots become available The performance of this algorithm is bounded below by the normal greedy algorithm, which is 3-competitive for online assignment The more nodes that are assigned in the rst step, the better this algorithm will perform.

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