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For color histograms, we have the following relevant feature-matching parameters: ColourFormat preProcess_DestColorFormat: output color space for the preprocessing step, in our case cvdata::Image::HSV int sampleModelFeatures_Bins1/2/3: number of bins for each histogram channel double matchFeatVariance: the variance R 2 for the feature-level likelihood bool matchFeatWithMdetect: a ag, specifying whether to match the off-line reference histogram (after features sampling) bool matchFeatWithMtrack: whether also to match the online reference histogram (after features update) double matchFeatMtrackWeight: weight for the online histogram distance double matchFeatMdetectWeight: weight for the off-line histogram distance Modality::MeasComputeFlags: common ags to all modalities, de ning which data are going to be stored in the measurement structure The last parameter speci es which of the ve elds of measurement data [eq 31] are needed by the subsequent module in the pipeline.

vi will respond with the following:

/********************************************************************************** MonteCarloLFM_PredCorr: A Monte Carlo simulation using a predictor-corrector method of the LIBOR log-forward dynamics in (1339) to value an European swaption [in]: SymmetricMatrix& R : correlation matrix of forward rates Matrix &V : variance/covariance matrix of forward rates.

These five toolbar buttons actually apply predefined styles to the selected cells. Access Excel s styles by using the Format Style command.

In this case, there is no further data fusion and the next module is the Likelihood class, which needs only the measurement residual e and covariance matrix R; therefore, the ags will be COMPUTE_E and COMPUTE_R Other possible ags, which are not used here, are COMPUTE_Z and COMPUTE_H, respectively, returning.

11 described how to use the NPER function to calculate the time required to pay off a loan based on a specified payment amount. Examples in this chapter use amortization schedules that, again, involve calculations based on a fixed payment. Even when variations of interest rate are allowed, the recalculated payments were based on a previously fixed loan term. With credit card calculations, the payment varies according to a more complex set of criteria. Credit card calculations represent several nonstandard problems. Excel s financial functions (PV, FV, RATE, and NPER) require that the regular payments are at a single level. In addition, the PMT function returns a single level of payments. With IRR and NPV analysis, the user inserts the varying payments into a cash flow. Credit card companies calculate payments based on the following relatively standard set of criteria:

You can access the properties of an object as follows:

Remember back near the end of 7 when we introduced you to the power and convenience of the up and down keys We can use them to tap into our command history, starting with the RAM buffer where commands

Alternatively, can specify volatility structure of rates which is done inside method double initrate : initial forward (spot) rate double strike : strike rate of swaption double T : time to maturity of swaption long M : number of simulations long N : number of time steps per simulation path long m : number of forward rates to simulate long numeraire : numeraire under which to simulate dynamics [out]: double : swaptionPrice **********************************************************************************/ double LMModel::MonteCarloLFM_PredCorr(const SymmetricMatrix &R, Matrix &V, double initrate, double strike, double T, long M, long N, long m, long numeraire) { int i, j, l, k, n, q, p; long seed = 0; long* idum; // pointer to seed double mu10 = 00; // drift by freezing forward rate F(0) if j < // numeraire double mu20 = 00; // drift by freezing forward rate F(0) if j >= // numeraire double mu_hat = 0.

import java.sql.*; public class JdbcTest { public static void main(String[] args) { String driver = org.hsqldb.jdbcDriver ; String url = jdbc:hsqldb:d:/openjava/hsqldb/data/hsqltest ; String user = sa ; String passwd = ; if( args.length > 0 driver = args[0]; if( args.length > 1 url = args[1]; if( args.length > 2 user = args[2]; if( args.length > 3 passwd = args[3]; && args[0] != ) && args[1] != ) && args[2] != ) && args[3] != )

Listing 3.11 AcmeXMLHelper.java. (continues)

N OT E You may notice that the PivotCharts produced by Access are not as polished as the ones Excel produces. This is because Access uses the old Office Web Component technology that was primarily designed for reporting on the Web. Excel, on the other hand, uses the slick new graphics engine that comes with Office 2007.