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The simulation class requires another class to represent events The Event class is shown in Figure 145 The data members consist of the customer number, the time that the event will occur and an indication of what type of event (DIAL-IN or HANG-UP) it is If this simulation were more complex, with several types of events, we would make Event an abstract base class and derive subclasses from it We do not do that here because that would complicate things and obscure the basic workings of the simulation algorithm The Event class contains a constructor and a comparison function used by the priority queue The Event class grants friendship status to the modem simulation class so that vent's internal members can be accessed by ModemSim methods The modem simulation class, ModemSim, is shown in Figure 146 It consists of a lot of data members, a constructor, and two member functions The data members include a random number object r shown at line 25 At

(12.39) (12.40)

The Event class represents events In a complex simulation, it would derive all possible types of events as subclasses Using inheritance for the Event class would complicate the code

31 Legendre (I752-1833) and Gauss (I777-1855) both made many important contributions to pure and applied mathematics Gauss is generally regarded as one of the greatest mathematicians of all time Gauss did not publish anything on least squares until 1809, but he claimed to have been using the method since 1795, which led to a dispute over who deserved credit for its discovery Stigler (I986) finds Gauss's claim of prior discovery likely to be true but he credits Legendre with independent discovery and with prior recognition of the importance of least squares as a general method for combining inexact measurements 33a The details of the derivation of (32) are as follows.

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These limits are easily understood in terms of the various limits in which the three-body decay 1L ~ efieP,. becomes effectively a two-body decay. For example, when the electron energy E' vanishes, (12.39) yields w' = m12, which is expected because then the two neutrinos share equally the muon's rest energy. To obtain the energy spectrum of the emitted electron, we perform the w' integration of (12.38):

#include <limitsh> #include <timeh> #include <stdlibh> #include "RandomhU #include <iostream> #include <vector> #include <queue> #include <functional> using namespace std; class Event

enum { DIAL-IN = 1, HANG-UP = 2 1 ; public: Event( int name = 0 , int tm = 0 , int type = DIAL-IN 1 : time( tm ) , who( name ) , what( type ) i 1 boo1 operator> ( const Event & rhs { return time > rhstime; 1 friend class ModemSim; private: int who; int time ; int what;

26 27 } ;

2 df - mG - - _ - - f.!m d' ,( m- 2 w ') ww 3 !m-E' dE' 2'17

The partial derivative of L( Yi - a - bx Y with respect to a is equal to 0 when L( Yi a - bx) = 0, or y - a - bi = 0, or a = y - bi, which coincides with the second formula in (32) The partial derivative with respect to b is equal to 0 when LX i( Yi - a - bx i) = o Substitute a = y - bi into this equation to obtain LXJ(Yi - y) - b(x i - i)] = 0, or b = LXi(Yi - y)jLXi(X i - i) This coincides with the first formula in (32) because LXi(Yi - y) = L(x i - iXYi - y) and LX,(Xi - i) = L(x i - i)2, because L(Yi - y) = 0 and L(x i -i) = o 33b.

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