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fill( ia+1, ia+6, value ); cout "array after fill(ia+1,ia+6):\n"; copy( ia, ia+7, ofile ); cout "\n\n"; string the_lang( "c++" ); string langs[5] = { "c", "eiffel", "java", "ada", "perl" }; list< string, allocator > il( langs, langs+5 ); ostream_iterator< string > sofile( cout, " " ); cout "original list element sequence:\n"; copy( ilbegin(), ilend(), sofile ); cout "\n\n"; typedef list<string,allocator>::iterator iterator; iterator ibegin = ilbegin(), iend = ilend(); fill( ++ibegin, --iend, the_lang ); cout "list after fill(++ibegin,--iend):\n"; copy( ilbegin(), ilend(), sofile ); cout "\n\n"; } fill_n() template< class ForwardIterator, class Size, class Type > void fill_n( ForwardIterator first, Size n, const Type& value );

fill_n() assigns a copy of value to count elements within the range [first, first+count)

If there were no such constraint, the algorithm might nd one very distinguishing image feature on the face image and, over generations of evolution, all of its Gabor lters might converge to this one image feature To avoid this, the correlation measure C determines the correlation between the image features extracted at all the locations pointed to by the chromosome To test for correlations between the Gabor features at the different spatial locations, we use the entire set of 125 Gabor lters to thoroughly characterize the textural context at these locations Assuming that there are M Gabor features that we are looking for on the face image of individual i, let (xm , ym ), m = 1, 2, , M, be the M points that have been selected genetically in the chromosome.

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#include <algorithm> #include <vector> #include <string> #include <iostreamh> class print_elements { public: void operator()( string elem ) { cout elem ( _line_cnt++%8 " " : "\n\t" ); } static void reset_line_cnt() { _line_cnt = 1; } private: static int _line_cnt; }; int print_elements::_line_cnt = 1; /* generates: original element sequence of array container: 0 1 1 2 3 5 8 array after fill_n( ia+2, 3, 9 ): 0 1 9 9 9 5 8 original sequence of strings: Stephen closed his eyes to hear his boots crush crackling wrack and shells sequence after fill_n() applied: Stephen closed his xxxxx xxxxx xxxxx xxxxx xxxxx xxxxx crackling wrack and shells */ int main() {

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (1021 / 1065) [2001-3-29 11:32:15]

To nd the correlations of the image features extracted at each of these points, the N Gabor lters Gi , i = 1, 2, , N, are used to characterize each of the points Let the coef cients of such a characterization be represented by a matrix A Thus, matrix A is M N in dimension, where the rows correspond to the M locations and N = 125 refers to the Gabor lter coef cients..

1.3.2.2 Event-Driven Models for Accounting In an event-driven model, a device will contact the accounting server when it is ready to transfer accounting data. Most event-driven accounting systems, such as RADIUS-based

int value = 9; int count = 3; int ia[] = { 0, 1, 1, 2, 3, 5, 8 }; ostream_iterator< int > iofile( cout, " " ); cout "original element sequence of array container:\n"; copy( ia, ia+7, iofile ); cout "\n\n"; fill_n( ia+2, count, value ); cout "array after fill_n( ia+2, 3, 9 ):\n"; copy( ia, ia+7, iofile ); cout "\n\n"; string replacement( "xxxxx" ); string sa[] = { "Stephen", "closed", "his", "eyes", "to", "hear", "his", "boots", "crush", "crackling", "wrack", "and", "shells" }; vector< string, allocator > svec( sa, sa+13 ); cout "original sequence of strings:\n\t"; for_each( svecbegin(), svecend(), print_elements() ); cout "\n\n"; fill_n( svecbegin()+3, count*2, replacement ); print_elements::reset_line_cnt(); cout "sequence after fill_n() applied:\n\t"; for_each( svecbegin(), svecend(), print_elements() ); cout "\n"; } find() template< class InputIterator, class T > InputIterator find( InputIterator first, InputIterator last, const T &value );

The elements in the range marked off by [first,last) are compared for equality with value using the equality operator of the underlying type If a match is found, the search ends find() returns an InputIterator to the element If no match is found, last is returned

Thus, g(1,1) g (2,1) A= . . . g(m,1) g(1,2) g(2,2) . . . g(m,2) ... ... . . . g(1,N) g(2,N) . . . , (5.9)

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