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instances, the predicate instance in each case ending with the suffix _if, as in find_if() For example, there is a replace() instance using the built-in equality operator and a replace_if() instance taking a predicate function object or pointer to function For those algorithms that modify the container over which they operate, there are generally two versions: an in-place version that changes the container against which it is applied, and a version that returns a copy of the container with the changes applied There are, for example, both a replace() and a replace_copy() algorithm The copy version always contains _copy in its name A copy version, however, is not provided for every algorithm that transforms its associated container The sort() algorithms, for example, do not provide a copy instance In this case, if we wish the algorithm to operate on a copy, we need to make and pass in the copy ourselves To use any the generic algorithms, we must include the associated header file:

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To use any of the four numeric algorithms: adjacent_difference(), accumulate(), inner_product(), and partial_sum(), we must include

The code implementing the algorithms and the associated container types on which they operate in this Appendix reflects the implementations currently available The iostream library reflects a prestandard implementation, for example including the use of an iostreamh header file Templates do not support default arguments for template parameters To have the program run on your current system, you may need to modify one or another declaration An excellent, more detailed discussion of the generic algorithms can be found in [MUSSER96], although it is somewhat out of date with the final C++ standard library

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A route change is likely to invalidate the baseRTT used in TCP-Vegas for calculating the expected throughput Therefore, the baseRTT may not re ect the actual minimum measured round-trip time of the connection If this inaccuracy causes the calculated throughput difference to fall below the threshold, TCP-Vegas will reduce its rate as if congestion occurs Another problem is the unfairness of TCP-Vegas Unfairness occurs when TCP-Vegas competes with other TCP-Reno connections Because of the aggressiveness of TCP-Reno and the conservativeness of TCP-Vegas, TCP-Reno can obtain a greater share of the available bandwidth Even with TCP-Vegas operating alone, the connections that start at a later time usually obtain a smaller share of bandwidth because their observed baseRTTs are usually higher..

accumulate() template < class InputIterator, class Type > Type accumulate( InputIterator first, InputIterator last, Type init ); template < class InputIterator, class Type, class BinaryOperation > Type accumulate( InputIterator first, InputIterator last, Type init, BinaryOperation op );

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The first version of accumulate() adds the sum of the values of the elements in the sequence marked off by the iterator pair [first,last) to an initial value specified by init For example, given the sequence {1,1,2,3,5,8} and an initial value of 0, the result is 20 In the second version, rather than addition, the binary operation passed in is applied to the elements For example, if we passed the function object times<int> to accumulate(), the result is 240, provided the initial value is 1, not 0, of course accumulate() is one of the numeric algorithms To use it, we must include the <numeric> header file

#include #include #include #include /*

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (1010 / 1065) [2001-3-29 11:32:15]

TCP-Westwood TCP-Westwood [15] is another TCP variant that is based on bandwidth estimation The main idea of TCP-Westwood is to keep track of the average throughput of the connection and use the information maintained appropriately when a packet loss occurs Therefore, it is particularly effective in tackling the effects of wireless errors on the TCP performance Bandwidth Estimation and Faster Recovery The bandwidth estimation is done by measuring the rate of return of ACKs The estimation can adaptively use a higher weighting factor on the current bandwidth measurement when the interarrival times of ACKs increases Therefore, when congestion occurs, the estimated bandwidth will capture the congestion state much faster and provide a more conservative estimate Moreover, when there is a prolonged absence of ACKs (potentially because of congestion), the estimated bandwidth will exponentially decrease.

multiplier output is the product qt.Y of the selected quotient by the divisor. According to the resources at hand those products may be precalculated then stored for fast retrieval. The subtractor computes the new remainder as the difference B.r(i) 2 qt.Y. Finally, a carry-save computation of r(i 1) could be implemented but conditions over the quotient-digit set have to be relaxed. The divider structure is shown in Figure 13.11. The cost and computation time of the nonrestoring divider basic cell of Figure 13.10 are given by Cdivision and Tdivision or Tdivision

* output: accumulate() operating on values {1,2,3,4} result with default addition: 10 result with plus<int> function object: 10 */ int main() { int ia[] = { 1, 2, 3, 4 }; list<int,allocator> ilist( ia, ia+4 ); int ia_result = accumulate(&ia[0], &ia[4], 0); int ilist_res = accumulate( ilistbegin(), ilistend(), 0, plus<int>() ); cout "accumulate()\n\t" "operating on values {1,2,3,4}\n\t" "result with default addition: " ia_result "\n\t" "result with plus<int> function object: " ilist_res endl; } adjacent_difference() template < class InputIterator, class OutputIterator > OutputIterator adjacent_difference( InputIterator first, InputIterator last, OutputIterator result ); template < class InputIterator, class OutputIterator, class BinaryOperation > OutputIterator adjacent_difference( InputIterator first, InputIterator last, OutputIterator result, BinaryOperation op );

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