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/%$$$$&I Use the core algorithm for the population vector K with values l i7.(K) computed in Step 1, and values Dirs(K), computed in Step 3. Finally, compute all other performance measures using Eqs. (7.21)-(7.31). The memory requirement and computation time of the SCAT algorithm grows as O(N. R2) and produces, in general, very good results. Now, the algorithm is used on an example: Consider the central-server model of Example 8.3 again, but Example 9.2 now we use the SCAT algorithm to solve the network. L-1 Use the core algorithm with K = 6 jobs in the network and the input data i (K) = K/N = 1.5 and Di (K) = 0, for i = 1, . . . ,4. With these assumptions and E = 0.01, the usage of the core algorithm will produce the same results as the Bard-Schweitzer algorithm as in Example 9.1. Therefore, we use those results directly:

Table 9.4 i 0 1 2 3 4 5 W(i, 0) 1.0 0.55 0.377 0.294 0.248 0.222 W(i, 1) 0.45 0.308 0.240 0.203 0.181 Values of the weighting function W W(i, 2) W(i, 3) W(i, 4) W(i, 5)

(100)

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Italicized words, as used in this book: adviser Investment staff, consultant, or other source of investment expertise to an investment committee. fund Investment fund. investment fund Our endowment fund, foundation, or pension fund. investment manager Investment manager or commingled fund such as a mutual fund. manager Investment manager. 12(b)(1) fees Fees charged by a mutual fund to cover advertising and promotional expenses. 401(k) plan A de ned-contribution pension plan offered by many corporations. aggregate volatility The volatility of a total portfolio, as opposed to the volatility of individual securities, individual managers, or individual asset classes. alpha Technically, the risk-adjusted return on a security or a portfolio in excess of its benchmark. In common parlance, the simple difference between a portfolio s return and that of its benchmark. alternative asset classes Asset classes other than traditional asset classes such as stocks and bonds. arbitrage programs Programs that are both long and short, such as long security A and short security B, so that results depend entirely on the difference in return between securities A and B. asset class A category of assets, such as large U.S. stocks, or high-yield bonds, or venture capital. asset/liability studies Studies based on (a) assumptions about the future performance of speci c asset classes and (b) projected liabilities of a pension fund, to determine an optimal asset allocation. back-loaded mutual funds Mutual funds that charge a fee when an investor sells the mutual fund. bell curve A normal frequency curve, a distribution curve that is symmetrical on both sides of the median. benchmark A basis of comparison for the investment return of an investment manager or for an overall portfolio.

Not [SaleDate] Between #1/1/2012# And #3/31/2012#

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o what exactly did the Romans use to build their civilization The answer is lots and lots of basic blocks. The basic building blocks in Max are called primitives. You can use these primitives to start any modeling job. After you create a primitive, you can then bend it, stretch it, smash it, or cut it to create new objects, but for now, we focus on using primitives in their default shape. This chapter covers the basics of primitive object types and introduces the various primitive objects, including how to accurately create and control them. You also use these base objects in the coming chapters to learn about selecting, cloning, grouping, and transforming. Modeling is covered in depth in Part III, but first you need to learn how to create some basic blocks and move them around. Later, you can work on building a civilization. I m sure workers in Rome would be jealous.

module multiplication (inputA, inputB, outputA); input [1:0] inputA, inputB; output [3:0] outputA; wire [3:0] outputA; assign outputA = inputA * inputB; endmodule Figure 4.22 shows a diagram of the synthesized logic module multiplication in Example 4.31. Example 4.32 is a Verilog test bench that can be used to simulate the Verilog code of module multiplication. The simulation results are shown in Example 4.33.

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