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In the computer age, there s nothing more frustrating than having information in a digital format and still having to enter it manually either by typing it in or by cutting and pasting to get it on the Web. This frustration is multiplied when it comes to table data, whether created in a spreadsheet or database program. You have to transfer numerous small pieces of data, and it all has to be properly related and positioned. Dreamweaver s Import Table Data command goes a long way toward alleviating the tedium not to mention the frustration of dealing with tabular information. The Import Table Data command reads any delimited text file and inserts the information in a series of rows and columns. You can even set most characteristics for the table to be created, including the width, cell padding, cell spacing, and border. Quite often, the first step in the process of importing table data into Dreamweaver is exporting it from another program. Most spreadsheet and database programs have some capability to output information to a text file. Each bit of data (whether it s from a cell of a spreadsheet or a field of a database) is separated or delimited from every other bit of data by a special character, typically a tab or comma. In Dreamweaver, you can use the Import Table Data dialog box to choose which delimiter is used, ensuring a clean transfer with no loss of data.

(3:34)

For the G]M]l queue, an embedded Markov chain approach can be employed, similar to the one discussed in Section 5.3 for the M]G]l q ueue. A general two-dimensional Markov chain can then be defined: ((N(t), V(t)), t 2 0), w h ere N(t) E IV denotes the number of customers in the queueing station and V(t) E R denotes the time since the last arrival; we have to keep track of this time since the interarrival times are not memoryless anymore. Suitable embedding moments are now arrival instances, since then V(t) = 0. Taking this further will reveal that the probability that an arriving job finds i jobs in the queueing system is of the form ri = (l-a)& i=O,l,***, P-4 just as in the MIMI1 case.

If you attempt to enter this formula, Excel informs you that you have unmatched parentheses, and it proposes a correction. Often, the proposed correction is accurate, but check it carefully just in case it s not quite right. Table 15-5 lists the types of error values that may appear in a cell that has a formula. Formulas may return an error value if a cell to which they refer has an error value. This is known as the ripple effect a single error value can make its way into lots of other cells that contain formulas that depend on that one cell.

0.400 Asset B SD = 40% 0.200

Find 'Vo(l ) fo r I > 0 in the circuit in Fig. P7.79 and plot the response including the time interval just prior to closing the swi tch.

Logarithmic Aspherical Lenses (a) Assuming that the logarithmic aspherical lens pupil modulation of Fig. 10.4 is implemented using refractive components, plot the lens SAG. (b) Numerically calculate and plot the PSF for this lens for u z varying from 20.05/F to 0.05/F [e.g., calculate the plots of Fig.10.4(b) over a wider range of defocus]. (c) The Strehl ratio for a lens is the ratio between the peak value of the incoherent PSF and the peak value for a diffraction-limited PSF using the same aperture. Plot the Strehl ratio as a function of defocus for lens of Fig.10.4(a) and for the lens of Fig.10.4(b). (Hint: Use Fresnel propagation and FFT analysis to numerically calculate the PSFs.)