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To compute the expected number of tasks lost in finite time [0, t), two choices are available: the interval-based measure TL(r)(t) or the steady-statebased measure TLc2) (t) can be applied. In the first case, the reward rates in Table 2.10 are multiplied by the tasks arrival rate X to yield Table 2.12 and to compute E[Y(t)]. In the second case, E[Z] is calculated on the basis of a modified reward assignment. All reward rates from Table 2.12 need to be multiplied by the length of the investigated time horizon [O,t) to get Table 2.13. Of course, the same reward assignment could be used for the interval-based case and iE[Y(t)] could be evaluated instead:

It is one thing that adult fans are being exposed to it, but it is something completely different that 5 year-olds are walking around with a Liverpool T-shirt with Carlsberg written on it. . . . Building up a loyalty to label commodities among children and young people can be an investment that will provide an income for several decades (Rekve, 1997).

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chairman of the board about this great asset all of these doctorates they had And I said, You know, there s something very strange to me about this You have 1,200 people who have their doctorates, and you pretend to be a commercial operation and you re making $3 to $4 million a year profit I make $50 to $100 million a year profit and I don t have one doctorate in my organization I don t understand that You can have all the intellectual horsepower in the world, but if you don t direct it with imagination and a willingness to take chances and be creative, it doesn t add up to anything Question: How important is it to be willing to take risks Answer: I had one fellow who graduated from Stanford Business School who worked for me for about five, six, maybe seven years.

He moved up in the organization, but I was looking for someone to handle my marketing, so I appointed him vice president in charge of marketing Another fellow that had been with me longer and who also graduated from Stanford Business School came to me and said, I m just terribly shattered by your decision I ve worked for you for x number of years and I think you have to admit that I never made a mistake I said, That s the problem If you ve never made a mistake, you ve never made a decision on time If you were a 100 percent certain you re right, you re too late I want somebody who will be right 80 percent of the time or 90 percent of the time, but who s prepared to fail You re never prepared to fail.

And as a result, you re not moving us forward He stopped and thought about it and said, I guess I ll go out and fail at something I said, Well, you just failed at getting promoted to vice president Why don t you think about that.

The rule for stability is: In a closed loop system (with negative feedback) when the phase lag around the loop is 180 degrees (1/2 a cycle), the gain around the loop must be less than 1.0 for the system to be stable. From this rule it follows that to determine the stability of a closed loop system we need to analyze the open loop behavior of the system. Let us look at what this means mathematically. Remember that the expression for the closed loop transfer function (CLTF) is: CLTF = (forward path) 1 + loop

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