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However, there is necessarily a certain time interval between the start of the proactive planning process and the execution of the plan in practice In complex planning processes, it is even usual that there is a certain planned time interval between the end of the proactive planning process and the execution of the plan The latter is meant as a buffer in order to be able to cope with uncertainties in the duration of the proactive planning process The initial plan that is generated in the proactive planning process is based on the information that is available at the moment that this plan is generated However, as time goes by, it may happen that, during the generation of the initial plan or after the initial plan has been generated, new information becomes available and has to be taken into account in the plan as well.
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NET port of iText, a PDF manipulation library for Java. It is primarily focused on
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Net is a library for developers to convert PDF to Word, RTF, DOC and Text .
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An example of this is a rush order that has to be planned and carried out as soon as possible Another example may be that, on second thought, the processing time of a certain job is longer than it was estimated earlier A nal example concerns the resource availability: After the proactive plan has been generated, it may turn out that one of the machines is temporarily not available due to maintenance Of course, if the machine maintenance department had communicated the maintenance plan of the machines earlier, then this would not have happened Note that the execution of a plan in practice usually needs to be monitored continuously This may lead to updates of the plan in real time Indeed, due to external disruptions during the execution of the plan, the plan may become infeasible and therefore it has to be updated.
To carry more information in a given time window, the old-fashioned frequencydivision multiplexing (FDM) can be utilized as shown in Figure 2.7. In particular, K information-bearing symbols, S O , . . . , S K - ~ ,can be modulated onto K different subchannels using different complex exponential w k ( t ) = ej2.rrkt/Nas follows.
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The first differential in the n = 0 plane represents the number of turns per unit that locates the mean. Vector multiplication rules give the turns per unit of the product of two characteristic functions as the sum of the turns per unit of the two factors. Taking anti characteristic functions the mean of the combined probability distribution function is the sum of the means of the individual probability distribution functions. Similarly, the higher derivatives represent accelerations of the numbers of turns per unit. These also add to give the sums of higher moments as shown in the example at the end of the chapter. The expressions for the higher derivatives are too large for these pages. Summarising C 0 5 C 0 14i C 0 43
For example, the operational traf c control center of a public transport company has to deal with external disruptions quickly and adequately in order to have as few as possible delays in the operational transport processes..
If the file ends before reading in the number of items you requested, fromfile raises the EOFError exception, but still adds as many valid items as it could to the array.
When keypad mode is active, control characters are interpreted for you by curses. Most of these characters have corresponding constants. For example, the following code fragment checks whether the user pressed F5:
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where R is the average radius of the accelerator, and we have used e N = r r u * ( ~ u / c ) / p as our definition of normalized emittance. The tune is decreased due to the defocusing character of the space charge force. As a numerical example, consider an unbunched beam entering the Fermilab booster synchrotron. Here R = 75 m, the injection kinetic energy is 200 MeV, the normalized emittance o the beam at entry is T mm mrad, and f
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