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The following more general version of filter_string() accepts a pair of iterators marking off the range of elements to filter:

template <class InputIterator> void filter_string( InputIterator first, InputIterator last, string filt_elems = string("\", ")) { for ( ; first != last; first++ ) { string::size_type pos = 0; while (( pos = (*first)find_first_of( filt_elems, pos ))

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (971 / 1065) [2001-3-29 11:32:15]

!= string::npos ) (*first)erase( pos, 1 ); } }

Globally coordinated routing is a component in the optimal transmission schedule assumed by Gupta and Kumar in deriving their asymptotic limit on MHWN performance [23] The remaining component is optimal scheduling However, in a contention-based protocol, guaranteeing optimal scheduling is impossible Thus, it is important for the routing decisions to be aware of the scheduling implications In this section, we motivate globally coordinated routing, discuss the basic model for expressing the globally coordinated routing problem, and express the desired objective function In the next section, we discuss the problem of modeling MHWNs for purposes of globally coordinated routing Con gurations obtained via globally coordinated routing will generally achieve a substantial improvement over greedy protocols For example, in the small scenario depicted in Figure 73, coordinated routing yields a 33% more throughput without a decrease in any of the individual connection s throughput.

Our program to make use of this might look like this:

#include <string> #include <algorithm> #include <iterator> #include <vector> #include <iostream> bool length_less( string s1, string s2 ) { return s1size() < s2size(); } int main() { istream_iterator< string > input( cin ), eos; vector< string > text; // copy is a generic algorithm copy( input, eos, back_inserter( text )); string filt_elems( "\", ;:"); filter_string( textbegin(), textend(), filt_elems ); int cnt = textsize(); // max_element is a generic algorithm string *max = max_element( textbegin(), textend(), length_less ); int len = max->size(); cout "The number of words read is " cnt endl; cout "The longest word has a length of " len endl; cout "The longest word is " *max endl; }

When we used the default less than string operator with max_element(), we were surprised by the program's output:

wind is certainly not the maximal element in terms of length After puzzling over the results for a moment, we realize that the string less than operator does not evaluate a string's length but its lexicographic relationship In that sense, wind is the maximal string in our text file To find the maximal length string, we need to provide an alternative less than operator: length_less():

The reduction in interference bottlenecks will have other bene cial advantages such as reducing the end-to-end delays and packet drops, which bene t upper-layer protocols such as TCP It is likely.

The object glob is a global object ( 8 further discusses global scope and global objects) The general accessibility of a global object from anywhere within the program is both its main benefit and its most significant liability The visibility of a global object makes it a convenient mechanism of communication between the parts of a program The drawbacks of relying on global objects to communicate between functions are as follows:

architecture circuit of fp_divider is component division...end component; component normalization...end component; component rounding...end component; signal e_d, e_n: natural; signal s_d, s_n: digit_vector(0 downto -(p+3)); begin divider_component: division port map (s1, s2, sign1, sign2, e1, e2, s_d, sign, e_d); normalization_component: normalization port map (e_d, s_d, s_n, e_n); rounding_component: rounding port map (s_n, e_n, s, e); end circuit;

A function that uses the global object depends on the existence and type of that global object, making the reuse of that function in a different context much more difficult If the program must be modified, global dependencies increase the likelihood of introducing bugs Moreover, introducing local changes requires an understanding of the entire program If a global object gets an incorrect value, the entire program must be searched to determine where the error occurs; there is no localization Recursion is more difficult to get right when the function uses a global object (Recursion occurs when a function calls itself We look at recursion in Section 75) In the presence of threads, special coding is required to synchronize the reading and writing of a global object among the various threads A lack of synchronization is a common source of programming error when you're using threads (See the article "Distributing Object Computing in C++" by Steve Vinoski and Doug Schmidt in [LIPPMAN96b] for an example of threads programming in C++)