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In the sales example, for instance, suppose you want to calculate the average sales amount per unit. You can compute this value by dividing the Sales field by the Units Sold field. The result shows a new field (a calculated field) for the pivot table. Use the following procedure to create a calculated field that consists of the Sales field divided by the Units Sold field: 1. Move the cell pointer anywhere within the pivot table. 2. Using the Pivot Table toolbar, choose PivotTable Formulas Calculated Field. Excel displays the Insert Calculated Field dialog box. 3. Enter a descriptive name in the Name field and specify the formula in the Formula field (see Figure 18-19). The formula can use other fields and worksheet functions. For this example, the calculated field name is Avg Unit Price, and the formula appears as the following:

We recall the relationship between bond prices and forward rates P(t , Tj ) P(t , Tj +1 ) In conjunction with Ito s formula, we get v j, q (t) v j +1, q (t) = j Fj (t) j, q (t) 1 + j Fj (t) = 1 + j Fj (t )

0 0 (A.3.20) 0 A,

( 0, T , , N , X ) = NP ( 0, T )E max(1

LO: AGC: VCO:

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Figure 6.4 shows very useful characteristics typically used for control design of power electronic systems connected to photovoltaic arrays: the output power versus the load voltage and the output power versus the load current at different illumination and temperature levels. Voltage-based power control is clearly better, as suggested by Figure 6.4a, where the family of curves are smoother and evenly spaced [5,7,9,11]. Cell temperature also plays an important role in the ef ciency of solar panels. Figure 6.4c and d show that for a cell illuminated by 0.6 sun under two different temperatures, t1 50 C and t2 25 C, the cell short-circuit current decreases whereas the open-circuit voltage increases.

The last hour before sunset, the Golden Hour, brings even lackluster scenes to life. Once again, long shadows stretch to reveal texture and detail, particularly when the sun is at a right angle to the camera. With the sun below the horizon, light is re ected onto the landscape from the sky. This is a good time to use long shutter speeds to record movement in the landscape area, whether the movement is water washing up to the shore, people passing by, or trees and grasses swaying in the breeze. The rst 30 minutes after sunset is an ideal time to capture the soft pastel sky colors re ected in a still lake or on the ocean. For more on exposure compensation, see 2.

This book would not have existed if it were not for the following three people: Yakov Rekhter, Aviva Garrett and Patrick Ames, and to them we extend our most heartfelt thanks. Yakov Rekhter encouraged us to pursue this project and provided valuable insight, starting with the book proposal and ending with a detailed technical review of numerous chapters. Most importantly, his faith in our ability to do this work was one of the main factors that determined us to go ahead with this project. Aviva Garrett was the first person to hear about this idea, encouraged it and arranged all the required support within Juniper Networks. In addition to this, Aviva provided an editorial review of the entire book. Patrick Ames guided us through the intricate process of bringing a book from proposal to the printing press and provided moral support and appropriate scolding as necessary. We would not have been able to pull this off without him. Patrick also did all the hard work of preparing the manuscript (and in particular the art manuscript) for editing. This book benefited from the contribution of many people. We would like to thank our following colleagues: Pedro Marques, for his thorough review of almost all chapters, for many technical discussions and for contributing the analysis of VPN scaling and RR scaling.

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Hence, the platypus (as well as all animals), would be assigned a numeric value indicating the degree of association between it and each of the groups. Different clustering approaches are useful in different situations. It is often helpful to run several methods in order to nd an optimal clustering result for the particular problem. Changing the variables, the distance measure, or the clustering parameters can also help create optimal clustering results. The following sections describe the different approaches in greater detail.

S5.558 S5.149 & 385

Not bad for a first effort, eh The remainder of this chapter provides more information on these (and many other) programming concepts.

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