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However, LiveWire allows you to use only JavaScript for server side scripting ASP allows you to use a combination of different languages within your scripts This helps you use the best features of all the languages supported by ASP to your advantage However, LiveWire is at a disadvantage since it can use only JavaScript for scripting Note This book focuses on JavaScript Therefore, you ll notice that we have limited the discussion to server side scripting in ASP using JavaScript only As with LiveWire, ASP does not require any special development environment components ASP components include script engines that interpret ASP code JavaScript and VBScript engines are integrated with Microsoft Web servers only To execute a LiveWire application, you need to install, start, and stop the application However, ASP applications need not be compiled in this manner.

The major drawback of a flat-rate scheme is, however, that services differentiation is not possible at all, since the access to an ISP s point of presence will not allow for the technical differentiation of packets belonging to different services In addition, a user differentiation, eg, business and residential, becomes difficult, since the variations of usage are not reflected For a.

1.8

To install an ASP application, you need to put the files in one of the server directories (The details of this will be dealt with in the section Creating an ASP Application) Then the ASP application executes automatically when a Web server 285.

Users (small dish terminals)

15

Everything that is really great and inspiring is created by the individual who can labor in freedom. Albert Einstein

reversal in bonds in October 1987 also set the stage for the stock market recovery from the 1987 bottom. A stochastics buy signal in bonds at the end of 1987 preceded a similar buy signal in stocks by almost a year. During the entire decade of the 1980s, every significant turn in the stock market was either accompanied by or preceded by a similar turn in the bond market. Overlay charts will show comparison of the relative action of bonds and stocks over shorter time periods. On the monthly charts used in preceding paragraphs, price breakouts and stochastics buy and sell signals were emphasized. In the overlay charts, attention will shift to relative price action. Price divergences are easier to spot on overlay charts, and the leads and lags between the two markets are more obvious. Figure 4.3 compares the two markets from 1982 through the third quarter of 1989. The similar trend characteristics of the two markets are more easily seen. The most prominent points of interest on this chart are the simultaneous rallies in 1982; the breakdown in bonds in 1983 leading to a stock market correction; the simultaneous

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Carry out calculations of the mass fluxes at Reynolds numbers of 104, 1.5 X 104, 2 X 104, 3 X 104, 4 X 104, and 5 X 104 using the following models: (1) Turbulent kinematic viscosity determined from the Von Karman universal velocity profile (Eqs. 10.2.17 and 10.2.18). (2) Turbulent kinematic viscosity determined from the Prandtl mixing length model (Eq. 10.2.19), along with the Van Driest damping factor (Eq. 10.2.22). (3) Chilton-Colburn analogy (Eq. 10.3.28). Note that the sign and magnitude of the flux of acetone is sensitive to the value of the Re number (why ) and to the choice of the turbulent mass transfer model (again, why ). Rationalize your results in terms of the results portrayed in Figure 10.8.

You can access the workbook shown in Figure 10-3 on the companion CD-ROM. This workbook solves simultaneous equations with two or three variables.

Then just recreate the aliases db (the binary file that s built from the file that you just edited) as follows:

8.00 11.00 11.00 14.00

where n is the half-size of the window, which is an odd number, 2 n + 1. In this formula, all numbers are integer, and the weighting function w ( i, j ) is a radially symmetric kernel around zero, normalized to in= n n= n w ( i, j ) = 1. This proj vides an isotropic weighting, so that pixels in the center are considered more reliable than peripheral pixels in terms of the cornerness property. For a small window of a few pixels, eq. (4.93) can be linearized around ( y1, y2 ): I ( y1 + y1, y2 + y2 ) I ( y1, y2 ) + I y1 ( y1, y2 ) y1 + I y2 ( y1, y2 ) y2 where I y1 , I y2 are the rst image derivatives, and therefore E ( y1, y2 , y1, y2 ) (4.94)