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#include <algorithm> #include <vector> #include <mathh> #include <iostreamh> /* * generates: original array values: 3 5 8 13 21 transform each element by doubling: 6 10 16 26 42 transform each element by difference: 3 5 8 13 21 */ int double_val( int val ) { return val + val; } int difference( int val1, int val2 ) { return abs( val1 - val2 ); } int main() { int ia[] = { 3, 5, 8, 13, 21 }; vector<int, allocator> vec( 5 ); ostream_iterator<int> outfile( cout, " " ); cout "original array values: "; copy( ia, ia+5, outfile ); cout endl; cout "transform each element by doubling: "; transform( ia, ia+5, vecbegin(), double_val ); copy( vecbegin(), vecend(), outfile ); cout endl; cout "transform each element by difference: "; transform( ia, ia+5, vecbegin(), outfile, difference ); cout endl; }

For more information on the standardization of Diameter in IETF, the reader is referred to the website for the IETF AAA working group http://ietf.org/html.charters/aaa-charter.html For information on open source implementations of Diameter, the following website is a good starting point: http://www.opendiameter.org/ One of the major third generation cellular network standards (3GPP) is using Diameter for AAA procedures. The standardization is performed partly at IETF in documents such as [DIA3G3589] and partly in 3GPP, such as [3GPPDIA]. This would mean most Diameter activities can be traced by following the activities around 3GPP cellular networks.

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file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (1060 / 1065) [2001-3-29 11:32:16]

unique() template< class ForwardIterator > ForwardIterator unique( ForwardIterator first, ForwardIterator last ); template< class ForwardIterator, class BinaryPredicate > ForwardIterator unique( ForwardIterator first, ForwardIterator last, BinaryPredicate pred );

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It can be proven that the above jets are robust against rotation and scaling of the test image. The robustness has its source to the shift invariance property of the magnitude of the DFT coef cients and the self-similarity property of the Gabor kernels. That is, rotation and scaling of the test image corresponds to convolution with symmetric Gabor kernels, which is a translation on the Gabor matrix given in Eq. (6.19) that maps to DFT coef cients having the same magnitude as the original ones. Thus, the robust Gabor feature vector remains unaltered. In the matching procedure, the cost function given in Eq. (6.4) is modi ed in order to take into account the estimated warping. That is, a 2 2 warping-matrix A that describes the in-plane pose change caused by rotation, scaling, and skew is used as follows: C xtl =

All consecutive groups of elements containing either the same value (using the equality operator of the underlying type) or evaluating as true when passed to pred are collapsed into a single element Thus, for example, in the word mississippi, the semantic result is "misisipi" Notice that since the three i's are not consecutive, they are not collapsed Similarly, the two pairs of s's, since they are not consecutive, are not collapsed into a single instance To guarantee all duplicated elements are collapsed, we would first sort the container Actually, unique() behaves slightly nonintuitively, similar to the remove() algorithm In both cases the container's actual size is not changed Each unique element is assigned in turn to the next free slot beginning with first In our example, therefore, the physical result is misisipippi, where the character sequence ppi represents, so to speak, the leftover piece of the algorithm The returned ForwardIterator marks the beginning of the leftover Typically this iterator is then passed to erase() to delete the invalid elements (Since the built-in array does not support the erase() operation, unique() is less suitable for arrays; unique_copy() is more appropriate)

unique_copy() template< class InputIterator, class OutputIterator > OutputIterator unique_copy( InputIterator first, InputIterator last, OutputIterator result ); template< class InputIterator, class OutputIterator, class BinaryPredicate > OutputIterator unique_copy( InputIterator first, InputIterator last, OutputIterator result, BinaryPredicate pred );

unique_copy() copies a single instance of each consecutive group of elements containing either the same value (using the equality operator of the underlying type) or evaluating as true when passed to pred (see unique() for a description) To guarantee all duplicated elements are eliminated, we would first sort the container The returned OutputIterator addresses the end of the target container

(6.21)

#include <algorithm> #include <vector> #include <string> #include <iterator> #include <iostreamh> template <class Type> void print_elements( Type elem ) { cout elem " "; } void (*pfi)( int ) = print_elements; void (*pfs)( string ) = print_elements;

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