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The Hubble constant H o, which tells us the present expansion rate of the Universe, is in many ways the most fundamental cosmological parameter of all It also ought to be the easiest to measure, since all galaxies are supposed to obey v = Hor So all we have to do is measure the velocities and distances of as many galaxies as we can and get an answer However, each measurement has its problems Velocities are given by the redshift of spectral lines, a measurement which is now easy enough that the velocity of an individual galaxy can be measured to high accuracy However, remember that the cosmological principle isn't perfect, and so, as well as the uniform expansion we are trying to measure, galaxies also have motions relative to one another, the so-called peculiar velocity.

The round function rounds a datetime value to the nearest unit specified by the format. By default, the date is rounded to the precision of the default format.

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The peculiar velocities are randomly oriented, and for a given galaxy we cannot split its measured velocity into the Hubble expansion and the peculiar velocity However, the cosmological principle does tell us that the typical size of the peculiar velocity should not depend on where in the Universe the galaxy is It is therefore independent of distance, whereas the Hubble velocity is proportional to distance If we look far enough away (in practice many tens of megaparsecs) then the Hubble velocity dominates and the (unknown) peculiar velocity can be ignored Given that the expansion velocity can only be accurately distinguished from the peculiar velocity at large distances, we need to be able to estimate these large distances accurately in order to carry out the calculation H o = vir These distances are much harder to obtain, because galaxies are far too distant to be located by parallax.

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[Remember that an object one parsec away has a parallax (ie an apparent motion when viewed from dif-.

If the recipe book will be fairly small, you could just put each recipe on a separate page in a Microsoft Word document and use Word s search capability to nd recipe names, part of meal, or main ingredient. (Fooled you, didn t I That wasn t one of the main topics covered in this chapter! However, it would be a reasonable solution for such a simple application. Remember, the goal is to provide a useful solution with the minimum amount of work.) Of the solutions that are described in this chapter, I would probably pick a relational database. It will provide better search capabilities than the simpler at le, spreadsheet, or XML databases. Truly

Because the parser handles entire commands, most commands are routed to the default method, which passes the whole line on to the parser. Once again, this is part of a still larger program, but you can test this portion of it to make sure everything s working. Here s an example session from a Windows command line (text in bold is what I typed):

where p is the number of processors in a given group; i is the difference in the estimation of local and remote communication time. For processors that only communicate locally, i = 0. Step 3: Global Retro t The third step addresses the global optimization, taking into consideration differences in the local interconnect performance of various groups. Again, the goal is to minimize the variance of the execution time across all processors. This step is only executed if there is a large difference in the performance of the different local interconnects. After step 2, processors in each group will have a balanced execution time. However, the execution times of the different groups may not be balanced. This may occur when there is a large difference in the communication time of the different groups. In step 3, elements on the boundaries of partitions are moved according to the execution time variance between neighboring processors. For the case when a signi cant number of elements are moved between the groups, the second step is executed again to equalize the execution time in a group given the new computational load. To balance the execution among all the groups, we take the weighted average of execution times Ei (1 i S) from all the groups. The weight for each group is equal to the ratio of the computing power of that group to the total computing

Nanotechnology Applications to Telecommunications and Networking, By Daniel Minoli Copyright 2006 John Wiley & Sons, Inc.

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