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With electrons and photons in the picture, Feynman s diagrams became a little more complicated. To understand what was happening, he returned to world lines, those graphs with time running up the page and space across. By drawing diagrams for each possible interaction of electrons and photons and combining this with his probability work, it was possible to predict successfully practically everything that happens (except anything involving gravity and the nucleus of an atom, where entirely different types of force are involved). By bringing in the electron, we can understand the strange way that QED says light re ects from a mirror. It s only crazy if we think of re ected light bouncing off a mirror, just as a ball bounces off the oor. But thanks to QED, we know that each photon is absorbed by an electron in the mirror, then a new photon is emitted in a different direction (different because the probability arrow rotates during

where dist is the Euclidean distance in Rd . In Exercise 8.2 it is proved that (S) < for various relevant classes of parameter sets:

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The network is at the heart of any enterprise solution, large or small J2EE is no exception; all J2EE solutions are built around the network This means that J2EE developers will take on new problems and complexities as they move from the single application to the J2EE solution world As developers move from building small enterprise solutions to building large ones, they take on further architectural choices, complexities, and consequences, as well as solve new problems that didn t exist in the smaller world In order to succeed in a distributed-networked world of J2EE, the first step is for the developers to understand the new environment in which they are working, and the differences between that environment and the smaller, non-networked one of which they are used to The best summary of the common misconceptions of distributed computing, and therefore J2EE programming, is the eight fallacies of distributed computing.

Figure 13.10 A platform server can register at the pro le server to be noti ed when a certain pro le is modi ed. Then, a copy of the pro le is sent to the platform server after each update

I first heard about these fallacies from James Gosling at JavaOne in 2000 Gosling attributed them to Peter Deutsch Although they are not widely known, these fallacies do a great job of summarizing the dangers that developers of distributed applications face As a result, understanding the eight fallacies is of the utmost importance for all J2EE developers Fallacy 1: The network is reliable One of the easiest assumptions to make in distributed computing is that the network will always be there This simply isn t true Networks are becoming more reliable, but due to the possibility of unexpected power failures and physical dangers, they cannot provide 100 percent availability You simply can t expect the network to be 100 percent reliable Fallacy 2: Latency is zero Latency is the time that it takes for messages to travel through the network As most of us know, this value is not zero.

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Latency doesn t so much affect the amount of data you can send, but the delay in between sending and receiving data, so latency can have some interesting effects on your applications For example, in some networking technologies, if a program A sends two messages to program B, it is possible that the messages will arrive out of order More likely, you may have messages that travel a branched path, where the shorter path actually takes longer Fallacy 3: Bandwidth is infinite Despite increasing network speeds, there are still limits to bandwidth; most homes are capped at 15 Mbps, most corporate networks at 100 Mbps These limits can become important in mission-critical applications, since they limit the amount of data you pass around the network over time The problem with bandwidth is that it is very hard to figure out where it all goes.

SAQ 2.2 What would be an appropriate material for liquid cell windows if an aqueous solution at pH 7 is to be examined

Figure 6.6 displays the output of the preceding code with a reset button. You ll observe that, after the input of data in the preceding form, clicking the reset button clears the contents of the text area. That s exactly what a reset button does. From the previous discussions, it is evident that the design of a form can include text controls and push buttons for accepting text entries from the user and submitting them for processing. A form need not require only text inputs or the submit/reset buttons. What about inputs that need to be based on certain selections For example, at a shopping site, displaying the group of options for the mode of purchase as radio buttons and check boxes is preferred. Let s discuss the HTML tags used to create these controls.

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