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Some Excel functions belong to a special class of functions called volatile. Excel recalculates a volatile function whenever it recalculates the workbook even if the formula that contains the function is not involved in the recalculation. The RAND function represents an example of a volatile function because it generates a new random number every time Excel calculates the worksheet. Other volatile functions include: AREAS CELL COLUMNS INDEX INDIRECT NOW OFFSET ROWS TODAY
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This formula returns the character position of the last space in the string. You may wonder how all of these formulas can possibly be combined into a single formula. Keep reading for the answer.
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// returns the standard deviation sigma, de ned as the // square root of the variance. double standardDeviation() const; // returns the downside variance, de ned as // N/N-1 *sum_{i=1}^{N} // theta*x_i^{2}}{sum_{i=1}^{N} w_i}, // where theta = 0 if x > 0 and theta =1 if x <0 double downsideVariance() const; // returns the downside deviation, de ned as the // square root of the downside variance. double downsideDeviation() const; // returns the error estimate epsilon, de ned as the // square root of the ratio of the variance to the number of // samples. double errorEstimate() const; // returns the skewness, de ned as // [ \frac{N^2}{(N-1)(N-2)} \frac{\left\langle \left( // x-\langle x \rangle \right)^3 \right\rangle}{\sigma^3}. ] // The above evaluates to 0 for a Gaussian distribution. double skewness() const; // returns the excess kurtosis, de ned as // N(N+1)/(N-1)(N-2)(N-3) // \frac{\left\langle \left( x-\langle x \rangle \right)^4 // \right\rangle}{\sigma^4} - \frac{3(N-1)^2}{(N-2)(N-3)}. // The above evaluates to 0 for a Gaussian distribution. double kurtosis() const; /* returns the minimum sample value */ double min() const; /* returns the maximum sample value */ double max() const;
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on predefined services, where the quantity used is measured, e.g., in units, time, distance, bandwidth, volume, or any combination thereof. These basic quantities to be priced are obtained from accounting devices and depend on the network type. Tariffing is a special case of pricing, normally regulated by governmental and political economic impacts [118]. Tariffs have been applied to the traditional telephone network. Karsten et al. [62] elaborate on pricing as setting a certain price for a unit service used. Appropriate pricing of network communication provides incentives for reasonable usage of resources. In addition, a pricing scheme describes a particular choice [. . .] and is applied to unit services offered from a communication service provider. Furthermore, a document filed with the Federal Communication Commission (FCC) or a state public utility commission by a (regulated) telephone service provider that details services, equipment, and pricing of services they provide, e.g., calling plans, is termed tariff. So-called telemanagement software uses these tariffs to determine the charge of a telephone call. For auditing purposes, telemanagement reports should match the end-of-month bill a company receives from its provider, because the same tariffs are being used to charge for calls made. A quite similar use of pricing has been observed with respect to other related work. ETSI [33] defines pricing as [. . .] the correlation between money and goods or service , while it is noted that the term is not generally used in telecommunications, the usual term being tariffing . A clear distinction between price and tariff has been drawn within the M3I project (cf. [85, 119]). While the price determines the monetary value the user owes a provider for his service provisioned and utilized, in particular it is the price per unit service. It may be based on charges and costs or it may be determined by other marketing means, price setting is defined as the specification and the setting of prices for goods, specifically networking resources as well as services in an open market situation. Hereby the tariff [. . .] determines [the algorithm used to] charge for a service usage. It is applied in the charge calculation for a given customer and service he utilizes to calculate the charges. The process of tariffing decides upon the algorithm used to determine a tariff for a given service and/or customer. 4.2.4.6 Cost Based on [128], cost covers many different explanations: The amount or equivalent paid or charged for something: Price. Obviously this usage of cost confuses mainly in technical areas. Therefore, the definition the outlay or expenditure made to achieve an object heads in the right direction. However, in economic accounting, various different sorts of costs are distinguished, such as general costs, capita costs, joint costs, opportunity costs, or marginal costs. Details can be obtained from, e.g., [124]. The M3I project states [119]: Costs determine the monetary equivalent on equipment, installation, maintenance, management, operation of networks, network entities, and service provisioning. Many different types of costs can occur but it is important to note that [. . .] only costs in terms of money are of interest. In particular, the business area of network services provisioning is considered in [61]. Since real variable costs basically do not exist or are extremely limited in nature, the term cost per service invocation characterizes opportunity costs (lost revenue), because resources are bound and cannot be sold otherwise. Consequently, resource usage and consumption is considered as the main cost factor. Networking is characterized by the following aspects [61]: High fixed costs (installation and maintenance of infrastructure) Low variable costs
Vasicek(t, T, S, X, x; ) = A(t, T)e B(t,S)x (h) XA(t, T)e B(t,T)x (h )
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Fast failure recovery is a fundamental requirement for carrying sensitive traffic such as voice or video and is an important building block for providing QoS in MPLS networks. The problem is that the local protection schemes described so far only work in conjunction with RSVP, but many MPLS deployments use LDP as the label distribution protocol. If an LDP network is to carry voice or video traffic, it must ensure fast failure recovery. Let us see the options available: Move away from LDP and switch to RSVP. This is an unacceptable proposition for most providers because it requires a massive reengineering of the network. Use one-hop RSVP LSPs with link protection to protect selected links, and continue to run targeted LDP sessions over these RSVP tunnels, as shown in Figure 3.14. Note that both under normal conditions and following a failure, LDP traffic is tunnelled inside RSVP. When the link fails, traffic on the one-hop RSVP tunnels is protected, so the LDP traffic is also protected. This approach is attractive because it allows the operator to continue to use LDP for the setup of LSPs and does not require changes to the edge routers. However, protection for only link failures can be achieved. Find a mechanism that will provide fast-reroute behaviour for LDP. This is the most attractive proposition for the customers, and for this reason vendors are actively trying to engineer such
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2.3 APPLICATION SCENARIOS
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