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dramatically If all cities were on a circle or on a straight line, the solution would be easy But in general, an exact solution is not feasible in a sequential computer such as a desktop computer The system becomes overwhelmed with possibilities Problems that are hard can theoretically be solved quickly in a massively parallel computer using as many processors as needed Whenever a decision must be made that has several different outcomes, several new processors are started up, each chasing a possible solution Parallel processing for this purpose has never been considered realistic by practical engineers When parallel processing like this is necessary, theoreticians describe the problem in a rather nebulous way as belonging to class NP This designation is puzzling at rst sight, as is its literal meaning, nondeterministic polynomial.

interact with your hardware to compress the files to save space (if your hardware does not support compression, the option is grayed out). The third choice, the Disable Volume Shadow Copy option, prevents Backup from copying files if you are currently working with them (for example, a spreadsheet open on your desktop). Check this option only if you intend to copy the files manually later. Clicking Next opens the Backup Options dialog box, as shown in Figure 4-3. Here you make a choice if you already have a backup on your selected backup drive and if Backup finds identical file names. You can opt to append the new backup to the existing files or to replace the existing files with the new ones. The safer bet is Append, but Replace consumes less disk space.

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Nondeterministic is an academic way of saying that a large number of processors are necessary; polynomial means that a solution proceeds quickly only if a large number of processors are used Polynomial time refers to computing time that increases in proportion to some power l of the number of variables: for example, KPnl where KP is a constant giving an upper bound to computing time Thus, if a nondeterministic computer is available, the computational time is polynomial Unfortunately, by merely increasing the numbers of variables slightly, the number of parallel processors required becomes astronomical and impractical, and soon exceeds the number of atoms in the known universe hence the term nondeterministic Exponential time is de ned to be a computational time that increases as KE2n, where KE is a constant that gives an upper bound to computing time.

Premiere s Title window provides a simple and efficient means of creating text and graphics that can be used for video titles in Premiere projects. Although the graphic and text capabilities of the Title window don t rival Adobe Illustrator or Photoshop, it provides sufficient titling power for documentaries, sales presentations, and news events. When you create titles with the Title window, you do not need a project onscreen. Even though the New Project dialog box appears as soon as you load Premiere, you can click Cancel if you re just going to create titles during your Premiere session. To open the Title window, choose File New Title. The tools and drawing area in the Title window, shown in Figure 8-1, resemble those found in simple drawing and painting programs. The drawing and text tools are grouped vertically along the left side of the window. Figure 8-1 shows the Title window and its Toolbox. When the Title window appears, it appears Untitled until it is saved.

They really want to emphasize that NP problems cannot be solved in a reasonable way on an ordinary sequential computer Such computers are feasible only for problems in class P, those that compute in polynomial time Sequential computers are examples of Turing machines, named for Alan Turing (1912 1954), who deserves credit for his vision of sequential machines for computing in the 1930s When faced with a hard problem with an exponential explosion of work, often there are fairly good approximations to a solution However, an exact solution is sometimes desired, if only a large enough parallel processor were available Problems in class NP can be reduced mathematically to an equivalent problem that is also dif cult to solve, but whose solution can be veri ed quickly.

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