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20: Why Dream of Jini to be able to interact without us being involved. Waldo often cites Peter Deutsch's Eight Fallacies of Distributed Computing. You can find them listed on James Gosling's Web site at http://java.sun.com/people/jag/Fallacies.html. They are preceded by the warning that "[e]ssentially everyone, when they first build a distributed application, makes the following eight assumptions. All prove to be false in the long run and all cause big trouble and painful learning experiences." The Eight Fallacies are as follows: The network is reliable. Latency is zero. Bandwidth is infinite. The network is secure. Topology doesn't change. There is one administrator. Transport cost is zero. The network is homogeneous. One of the goals for Jini is to make the developer aware of the risks involved in distributed computing. Start by asking the simplest questions. Instead of hoping that the network never fails, ask what happens when the network eventually does fail. Even more simply, ask what happens when the machine that hosts a service crashes. Imagine a system on which your running application can get a good idea of "what else is out there," and take advantage of this new knowledge.

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parameters that any particular trading system can contain, various methods can be employed to prevent parameter curve fitting Such methods include backtesting of the system on a diversified portfolio of assets over a statistically significant data series (eg, the portfolio employed in 3 over 10 years), along with the utilization of an out-of-sample data series Both data and parameter curve fitting are the result of a psychological trading problem that I have termed the perfect trader syndrome The motivation is a combination of the need to be perfect and a desire to eliminate uncertainty and gain control over an uncertain future Often the perfect trader syndrome leads us to seek the holy grail of trading and spend thousands of dollars on bogus systems promising winning trading percentages in excess of 90 percent.

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right section of the TMJ Disc Displacements diagram (appendix 3), which should be helpful in explaining the disorder to patients.

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Remember, our goal in trading is not perfection; it is simply to manage risk well enough to enable us to consistently employ a trading methodology that will be successful over the long-term In his book, Design, Testing and Optimization of Trading Systems, Robert Pardo discusses a phenomenon that he calls outlier curve fitting Outlier curve fitting occurs when a single trade makes up a disproportionate percentage of a trading system s profits (Pardo specifically warns against performance histories in which a single trade accounts for over 30 percent of a system s profits9) Certain types of trading systems are more susceptible to this problem than others In general, because mean reversion trading systems exit with profits when the market reverts to its mean, outlier curve fitting is unlikely By contrast, trend-following systems have a much greater tendency to contain single, disproportionately large profitable trades within their performance histories.

The essential equations for a Fourier-transformation relating the intensity falling on the detector, I( ), to the spectral power density at a particular wavenumber, , given by B( ), are as follows: I( ) =

The Fresnel approximation is not suf ciently good in problems where Emax is larger than, say, 1 radian. However, this condition has often been relaxed in various applications because good results have been generally obtained. This was partially explained by using the method of stationary phase [Goodman]. In this chapter, another explanation for these results is provided. The advantage in the Fresnel approximation is that the variables are separable so that the integral in Eq. (7.2-2) can be written as a Fourier integral. For example, Eq. (7.2-4) is rewritten as g where v x2 y2 0 0 w x y

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