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The p format character is for a Pascal string. Pascal uses the first byte to store the length of the string (so Pascal first truncates strings longer than the maximum length of 255) and then the characters in the string follow. If you supply a repeater number with this format character, it represents the total number of bytes in the string including the length byte. If the string is less than the specified number of bytes, pack adds empty padding characters to bring it up to snuff. By default, struct stores numbers using the native format for byte order and structure member alignment (whatever your current platform s C compiler would use). You can override this behavior by starting your format string with one of the modifiers listed in Table 12-2. For example, you can force struct to use network order, a standard byte ordering for network messages:

OFDMA is the air interface adopted by the worldwide WiMAX and Korean WiBro standards a the technology for mobile broadband connectivity. OFDMA s

If the picture you want doesn t appear in Word s Insert Picture dialog box but you know that it s really there, in the lower-right corner, drop down the File Type list shown in Figure 9-33 to verify that Word supports the format. If your picture format isn t supported, there are several possible reasons.

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Since in this case all the constitutive relations (eq. (1.2)) of the elements are linear and one of them is differential, the system (eq. (1.3)) turns out to be a linear differential

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A major difference is that DP solves the problem of optimality by using Bellman s principle of optimal subsolutions The multiple-period heuristic solves more or less greedy We stipulated that the complexity of the shunting problem makes it computationally infeasible to apply an exact algorithm like DP Therefore one is forced to apply an approximation algorithm, like the multiple-period heuristic The Dynamic Programming technique inspired us to develop this heuristic in which the number of decisions and the number of states is less explosive The multiple-period heuristic evaluates many decisions from which it selects the best one, but it ends up with only one state at each stage Hence the multiple-period heuristic tries to nd a good solution by drawing a low-cost path through the DP graph In cases where the heuristic gets stuck at a state, it needs to retrace in the DP graph.

will affect them. As a consequence, all forms of change meet with resistance, often with concerted, erce, and determined resistance. Six Sigma is a truly revolutionary change. It removes self-interest from the culture, not entirely of course, but enough so that people discover that working from a team approach is rewarding. By taking the rst step, management begins to mold a new, fresh point of view. As one writer expressed this idea, We used to think that revolutions are the cause of change. Actually it is the other way around: change prepares the ground for revolution. 1 Under the scienti c method, change itself is given structure and certainty. This method has four parts: First is observation and de nition of the problem. Second is the development of a hypothesis or theory regarding the required solution. Third is the calculation of outcomes you would expect from change, such as increased pro ts, faster process time, or fewer steps. And fourth is the testing phase, in which the new process or conclusion is tested.

Applying sophisticated swapping and shifting operation allows quick retracing The multiple-period heuristic follows a backward approach in order to reduce the risk of retracing As illustrated in Section 1632, a forward DP approach is expected to retrace more frequently in order to nd a feasible solution Also in a backward heuristic approach, one needs to be careful in choosing the decisions to evaluate Some decisions might lead to a solution that is infeasible or far from optimal Therefore the heuristic applies a sophisticated set of priorities and decision rules If necessary, it applies also splitting and swapping procedures in order to nd a solution In the next section the multiple-period heuristic is tested by applying it to a real instance of the shunting problem In principle, one can extend the multiple-period heuristic by alternative decision rules in the single-period heuristic.

Figure 1'7.57

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