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The application layer of an application is often divided between the front and the middle tiers. Our preference is to put as much of the application layer as possible into the middle tier. The business layer is deployed to the middle group, or component tier. Enterprise applications typically have more than just a relational database in the back end. For this reason, we divide the back end into two tiers: the connection tier and the enterprise tier. The connection tier connects the components in the component tier to the data sources in the enterprise tier. The enterprise tier is where the data layers of an application are deployed. The following sections discuss each of these tiers in more detail.

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Table 2.3 (continued) DESCRIPTION Query using a peer-to-peer procedure such as Chord to determine the IP address of the destination peer. Session setup The INVITE message informs the called party of the IP address and ports of the caller and offers a choice of audio/video codecs. A provisional response message, such as 100 Trying or 180 Ringing, informs the caller of the progress. The message 200 OK confirms the called party is ready to receive media at its specified IP address and port(s) and the selected codec from the choice. The ACK message from the caller acknowledges is readiness as well. RTP media packets containing audio, video or IM will now flow between the SIP endpoints. COMMENTS This is the model for basic P2P SIP and also requires no central SIP proxy servers.

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>>>i=1 >>>while i==1: ... reg_no=raw_input( Please enter your reg number ... tot_score=score(reg_no) ... print Your total score is , tot_score

so that (12.20) can be written as:

Travelling wave tube type amplifiers are currently used in communication satellite transponders and exhibit two kinds of non-linear characteristics: amplitude: non-linearity of output amplitude vs. input amplitude of signal (AM-AM conversion); phase: non-constant phase shift between input and output signals, as a function of input power (AM-PM conversion).

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Sat/C7-12

5

**********************************************************************************/ TridiagonalOperator::TridiagonalOperator( const Array& low, const Array& mid, const Array& high) : diagonal_(mid), lowerDiagonal_(low), upperDiagonal_(high) { QL_ENSURE(low.size() == mid.size()-1, wrong size for lower diagonal vector ); QL_ENSURE(high.size() == mid.size()-1, wrong size for upper diagonal vector ); } /********************************************************************************** applyTo : applies tridiagonal operator to grid points [in]: Array& v: : grid points [out]: Array : results of operation **********************************************************************************/ Array TridiagonalOperator::applyTo(const Array& v) const { QL_REQUIRE(v.size()==size(), TridiagonalOperator::applyTo: vector of the wrong size ( + IntegerFormatter::toString(v.size()) + instead of + IntegerFormatter::toString(size()) + ) ); Array result(size()); // matricial product result[0] = diagonal_[0]*v[0] + upperDiagonal_[0]*v[1]; for (Size j=1;j<=size()-2;j++) result[j] = lowerDiagonal_[j-1]*v[j-1]+ diagonal_[j]*v[j] + upperDiagonal_[j]*v[j+1]; result[size()-1] = lowerDiagonal_[size()-2]*v[size()-2] + diagonal_[size()-1]* v[size()-1]; return result; } /********************************************************************************** solve for : solves the tridiagonal system [in]: Array& rhs: : rhs of system [out]: Array : solution of rhs of tridiagonal system **********************************************************************************/ Array TridiagonalOperator::solveFor(const Array& rhs) const { QL_REQUIRE(rhs.size()==size(), TridiagonalOperator::solveFor: rhs has the wrong size ); Array result(size()), tmp(size()); double bet=diagonal_[0]; QL_REQUIRE(bet != 0.0, TridiagonalOperator::solveFor: division by zero ); result[0] = rhs[0]/bet; Size j; for (j=1;j<=size()-1;j++) { tmp[j]=upperDiagonal_[j-1]/bet; bet=diagonal_[j]-lowerDiagonal_[j-1]*tmp[j]; QL_ENSURE(bet != 0.0, TridiagonalOperator::solveFor: division by zero ); result[j] = (rhs[j]-lowerDiagonal_[j-1]*result[j-1])/bet;

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