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So far, you have used built in data types to create variables in JavaScript. However, while working on real life projects, you may realize the need for using customized data types that represent real life objects. This is possible by using objects and object oriented programming. Object oriented is a term that is widely used as a marketing tool for the computer or software industry. In contrast to this statement, JavaScript has a limited object model. However, this is one of the most important features of JavaScript because it enables the creation of simple, small programs that are modular and can be reused. In this chapter, you will learn about using objects in JavaScript and their real life implementations. You will also learn about the various predefined object types. In addition, you will also learn to create customized object types. To enable a better understanding of objects, we will discuss the case of Web Shoppe, Inc., whose Web page makes extensive use of objects.

Another alternative uses a single formula (an array formula) to calculate all six values in D2:D7. This single formula occupies six cells and returns an array of six values. To create a single array formula to perform the calculations, follow these steps: 1. Select a range to hold the results. In this case, the range is D2:D7. 2. Enter the following formula:

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Another example of a nominal rate is an interest rate quoted as 6% per annum, compounded quarterly. This means that 1.5% (that is, 6% / 4) is paid or received every three months. Most banks and financial institutions quote interest on a nominal basis compounded monthly. However, when reporting returns from investments or when comparing interest rates, it is common to quote annual effective returns, which makes it easier to compare rates. For example, we know that 12% per annum compounded monthly is more than 12% per annum compounded quarterly but we don t know (without an intermediate conversion calculation) how much more it is.

used and may give different values for different initial values and may not even converge at all if poor initial values are chosen.4 We can now determine the short rates and discount factors: r1,1 = U(1)e ( (1)(1)

@CONFIDENCE @CONVERT @CORREL @COS @COSH @COUNT @COUNTBLANK @COUNTIF @COUPDAYBS @COUPDAYS @COUPDAYSNC @COUPNCD @COUPNUM @COUPPCD @COV @CRITBINOMIAL @CTERM @D360 @DATE @DATEDIF @DATEVALUE @DAVG @DAY @DAYS @DAYS360 @DB

Brigo and Mercurio (2001) suggest an approximation method, based on a Rebonato s work, to compute swaption prices using the LFM without using Monte Carlo simulation. Rebonato (1998) showed that forward swap rates can be interpreted as a linear combination of (weighted) forward rates, according to Sn, N (t) = where i wi (t ) = wi (Fn +1 (t ), Fn + 2 (t ), . . . , FN (t )) =

[13] B. Barros-Neto, I. S. Scarmino, and R. E. Bruns, Planejamento e Otimizacao de Experimentos, Editora Unicamp, Campinas, Brazil, 1995. [14] F. G. Guseinov and S. M. Mamediarov, Experimental Design in Problems of Electrical Engineering, Energoatomizdat, Moscow, 1988 (in Russian). [15] R. Bellman and L. Zadeh, Decision making in a fuzzy environment, Management Sciences, Vol. 17, No. 4, pp. 141 164, 1970.

P2P networks are scalable from small home and enterprise networks to global Internet scale. Secure P2P networks can be built and are easier to audit for possible vulnerabilities because of limited complexity. The cost of ownership is minimal because of the lack of network infrastructure and also because of the lack of operations costs for service infrastructure. Later in this chapter, we will discuss the disruption this causes to the legacy telecom and VoIP industries.

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MPLS-Enabled Applications: Emerging Developments and New Technologies 2005 John Wiley & Sons, Ltd

In the following section we will look at mechanisms for pinpointing the exact location of the failure.

Cotton, copper, crude oil, lumber, platinum, silver Flaxseed, soybeans, rapeseed Cattle (live), hogs, porkbellies Gold, platinum, silver

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