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ual booting is the term used to describe computer systems that can run more than one operating system (though not at the same time). This chapter explains how to configure a new or existing Windows system to also boot Linux using freely available Linux software. The only requirement for doing this is that you have sufficient space on your computer s drives to hold both operating systems and their associated applications. In addition, you ll need to have a copy of the Knoppix live CD that comes with this book and the installation CDs for the version of Linux that you ve decided to install.

5.2.2 Third-Order IMs (CTB)

The threshold for a false alarm probability of 10 6 for the sum of 10 noise pulses in Figure 7.13(d) is 32.71.

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Each socket type has specific requirements for mounting, and most of the better models include hardware that allows it to work with socket 775, 478, or any of the K8 (current generation AMD CPU) sockets 754, 939, and 940 have identical mounting systems. Many of the best heat sinks today employ heatpipe technology, which is a method of efficiently moving heat quickly over short distances, or of spreading it around evenly. Copper is widely used for its higher heat coefficient (ability to conduct heat), but a large all-copper HS can be dangerously heavy. The recommended HSF weight limit for all the CPU socket types is 450 grams. Any HSF that exceeds this weight substantially say more than 20 percent should be removed before the system is transported to avoid physical damage to the motherboard or CPU. Some rules of thumb about low noise heat sinks: The basic heat sink design should incorporate fairly wide spacing between fins to allow slow, low-pressure air to flow through them. It should have a very secure, easy-to-use mounting system. The base that makes contact with the CPU should be flat and smooth. Good quality thermal interface material (TIM or thermal goop) should be applied sparingly between the CPU and the heat sink base. Some heat sinks incorporate or come supplied with a fan, whereas others give you the option of using whatever fan you fancy. The former type is simpler to use, but enthusiasts often prefer the flexibility of choosing a specific fan. For best noise performance, look for fans that are 80 mm or larger in diameter, such as the Zalman model in Figure 5-10. Smaller ones have to spin too fast to create any useful airflow.

with long positions (buying side) of $K. This de nition is another way of stating the de nition in (2.1.3), which de ned VAR(a ) = -Ra *K, where Ra is the quantile of the distribution of returns. For example, consider an investor with a time horizon t of one year buys K = $100,000 worth of mutual fund shares, then P(t) = 100,000 is the initial value of the portfolio. Now assume that the fund could lose 25% or more of its value in a year with probability a = 0.01. Then Pr[DP(t) < 25,000] = 0.99, implying that VaR(0.01) = $25,000 is an upper bound on the loss. One can compute the VaR(a ) for any density f(x) of excess returns, as well as for the empirical distribution of returns. Section 4.4 of 4 has a discussion of alternative probability distributions (Gaussian, Pareto, etc.), and a discussion of the empirical and theoretical cumulative distribution functions (CDF). For example, the CDF of the logistic density is given in (4.3.2). Recall that inverse CDF of the normal density and also of the empirical CDF were needed in the testing for normality by using the Q-Q plots described in Section 4.3.1. If the CDF is denoted by F(x), its inverse evaluated at a given probability a is denoted by F -1(a ). The inverse CDF of the standard normal density N(0, 1) is readily known from normal tables to be -2.33 for a = 0.01 and 1.645 for a = 0.05. Assuming that the initial capital investment is K (e.g., K = $100,000), the mean of excess returns is x , and the standard deviations is s, we have VaR(0.01) = - K[ x - 2.33 * s], VaR(0.05) = - K[ x - 1.645 * s]. (5.1.2)

and in their combination with lipid and traf cking of the resulting lipoproteins; these are suggested to contribute to dyslipidaemia (Adiels et al., 2006; Chan, Barrett and Watts, 2006).

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