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This code fragment introduces two elements that we have not yet seen: difference_type and the inserter class difference_type is the type of the result of subtracting two iterators of our string set The istream_iterator uses this as one of its parameters copy(), of course, is one of the generic algorithms (we discuss them in detail in 12 and the Appendix) It's first two arguments are either iterators or pointers that mark the range of elements to copy The third argument is either an iterator or pointer to the beginning of the container into which to copy the elements The problem is that copy() expects a container of a size equal to or greater than the number of elements to be copied This is because copy() assigns each element in turn; it does not insert the elements The associative containers, however, do not support the preassignment of a size To copy the elements into our exclusion set, we must somehow have copy() insert rather than assign each element The inserter class accomplishes just that (It is discussed in detail in Section 124)

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The two operations to query a set object as to whether a value is present are find() and count() find() returns an iterator addressing the element found, if the element is present, or returns an iterator equal to end() indicating that the element is not present count() returns 1 if the element is found; it returns 0 if the element is not present Within build_word_map(), we add a test of exclusion_set prior to entering the word within our map:

To exercise our word/locations map, we implemented a small function to permit single word queries (support for the full query language is presented in 17) If the word is found, we wish to display each line within which the word occurs A word, however, might occur multiple times within a single line, as in

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and we want to make sure that we display this line only once One strategy for maintaining only one instance of each line is to use a set, as we do in the following code fragment:

// retrieve pointer to location vector loc *ploc = (*text_map)[ query_text ]; // iterate across location entry pairs

Several theories attempt to de ne the relationships among each pair of variables in (14.8), but no single theory provides the complete picture. The following subsections provide a brief introduction to the principles most relevant to the scope of this chapter. Speed Density Relationship. Car-following models [65] provided early means to describe the speed density relationship. These models apply to single-lane, dense traf c with no overtaking allowed. They also assume that each driver reacts in some speci c fashion to a stimulus from the vehicle(s) ahead or behind. The models do not apply in low densities where interactions between vehicles disappear. A model proposed by Pipes [66] belongs to a class of car-following models that assume that drivers maintain constant time gap between vehicles. The Pipes model results in the following speed density relation [64, 66]: u= 1 1 k kjam (14.9)

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file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (295 / 1065) [2001-3-29 11:32:06]

// insert each line value into set set< short > occurrence_lines; loc::iterator liter = ploc->begin(), liter_end = ploc->end(); while ( liter != liter_end ) { occurrence_linesinsert( occurrence_linesend(), (*liter)first ); ++liter; }

As quoted in Section 7.3.4, the argument a can be selected in [299.888, 99.888]. In practice, the range can be restricted to [2908, 908]. 2 s Complement notation is appropriate to represent data and (intermediate) results; operand length needs to cope with the required precision p, so LUT, adders/subtractors, shifters, and registers are accordingly designed. As before, a counter (not represented) may be used to generate the step number. Index i actualizes LUT addresses and shifter range control. After p steps, registers Y and X hold sin a and cos a, respectively. The cost and computation time are given by C(p) CLUT (p2 ) 3:Cadder=subtractor (p) 2:Cshifter (p) 3:CReg (p) 2:CInv , T(p) p:(TLUT (p2 ) Tadder=subtractor (p)): (14:37)

A set can contain only a single instance of each key value occurrence_lines, therefore, is guaranteed to contain one instance of each line within which the word occurs To display these lines of text, we simply iterate across the set:

register int size = occurrence_linessize(); cout "\n" query_text " occurs " size (size == 1 " time:" : " times:") "\n\n"; set< short >::iterator it=occurrence_linesbegin(); for ( ; it != occurrence_linesend(); ++it ) { int line = *it; cout "\t( line " line + 1 " ) " (*text_file)[line] endl; }