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Our string class interface is shown in Figure 222 To avoid conflicts with the stringh header file, we store the interface in mystringhAs promised, three data members store the C-style string, the length of the string, and the size of the array that stores the string The array size is at least 1 larger than the string length, but it could be more We provide two accessors (c-s tr and length) that return the C-style string and string length operator+= appends rhs to the current string A set of nonclass functions are also provided for 110 and comparison The I10 functions are not class members because the string is not a first parameter operator [ 1 is used to access

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It becomes infinite as s --+ 00. A careful discussion, see, for example, Bjorken and Drell (1964) or Pilkuhn (1979), shows that this behavior cannot be reconciled with probability conservation. The introduction of a finite-mass W boson removes the divergence, and for large s it can be shown that

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Next we should estimate a and {3. Then, if we use the cheap procedure to measure the acid number X of a chemical sample, we can estimate its organic acid content to be Y = + ~X.

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(15.42)

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There are various methods one can use to estimate a and {3 in equation (3.1). This chapter presents the least-squares method. The basic idea in estimating the regression line is to find the straight line that "best" fits the data points in the plot. To judge how well the estimated regression line Y = + ~X fits the data, we can look at the size of the residuals e = Yi - (a + fix). Note in Figure 3.2 that the residual e is the j i vertical distance from the estimated regression line to the data point (Xi' y). We want to choose and ~ so that the residuals are "small".

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 #include <stringh> #include "mystring h" string::string( const char * cstring

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In the least-squares method of regression, the overall size of the residuals is measured by Lef. The least-squares estimates of a and {3 are defined to be the values a and ~ which give the smallest value of Le(, that is, which give the least sum of squares of the residuals. Formulas for the least-squares estimates are:

if( cstring == NULL ) // cstring = " " ; // strLength = strlen( cstring ) ; // bufferLength = strLength + 1; // buffer = new char[ bufferLength 1 ; / / strcpy( buffer, cstring ) ; //

If NULL pointer use empty string Get length of cstring Set length with ' \ O r Allocate prim string Do the copy

which similarly diverges at large s. It is here that we glimpse the beautiful structure of gauge theory. PeW- scattering can proceed through a second diagram, Fig. 15.2, and in fact the standard model neutral current couplings are just such that this contribution cancels the divergence of the first diagram. We may be tempted to conclude that we are required to introduce the neutral current! This is

strLength = 1; bufferLength = strLength + 1; buffer = new char[ bufferLength 1 ; buffer[ 0 ] = ch; buffer[ 1 ] = ' \ 0 ' ;

strLength = strlength( ) ; bufferLength = strLength + 1; buffer = new char[ bufferLength 1 ; strcpy( buffer, strbuffer ) ;

L(X{-X)(Yi -y) {3 = - - - - - - = - L( Xi - X)2

// // // //

PeW-

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Multiply the result by 3: 14 × 3 = 42. Add the even number digits : 3+0+0+4+4 = 11. Add the two results together: 42 + 11 = 53. To calculate the check digit , take the remainder of (53 / 10), which is also known as (53 modulo 10), and if not 0, subtract from 10.

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