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template < class T > class Base {};

template < class Type > class Derived : public Base<Type> {};

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (910 / 1065) [2001-3-29 11:32:14]

// error: Base is a template // and template arguments must be specified template < class Type > class Derived : public Base{};

1. Alignment (Figure 16.1):

In the next section, the Array class template defined in 16 serves as a virtual base class to (1) a range-checking Array subtype, (2) a sorted Array subtype, and (3) an Array sub-type that is both sorted and supports range-checking The original Array class template definition, however, is not suitable for derivation:

Notice that the exponential distribution used here to model link failures may not perfectly predict the actual link failure probability However, as stated earlier, the desired behavior of ADB is to form smaller clusters in more dynamic areas and form larger clusters in more static areas Although there exist more accurate mechanisms (eg, reference [11]) to predict link stability, this model serves as an easy-to-calculate indicator (due to the memoryless property of the exponential distribution) effective enough2 for ADB to achieve its objective under different mobility conditions This has been validated by simulation, as shown in Figure 62 for instance The current implementation of the neighbor discovery process assumes that all links are bidirectional, and there is a separate mechanism in the underlying communication layer that discards all packets coming from unidirectional links For instance, nodes might also exchange their lists of neighbors periodically.

All its data members and auxiliary functions are private, not protected None of the type-dependent functions, such as the subscript operator, are specified as virtual

Does this mean that our original implementation was wrong No It was correct insofar as we understood it At the time of the original class template Array implementation, we hadn't realized the need for specialized Array subtypes Now that we do, however, we need to revise the Array class template definition (the member function implementation remains the same) Here is our new Array class template definition:

#ifndef ARRAY_H #define ARRAY_H #include <iostream> // needed for the forward declaration of operator template <class Type> class Array; template <class Type> ostream& operator ( ostream&, const Array<Type>&); template <class Type> class Array { static const int ArraySize = 12; public: explicit Array( int sz = ArraySize ) { init( 0, sz ); } Array( const Type *ar, int sz ) { init( ar, sz); } Array( const Array &iA ) { init( iAia, iAsize()); } virtual ~Array() { delete [] ia; } Array&operator=( const Array&); int size() { return _size; } virtual void grow(); virtual void print( ostream&= cout ); Type at( int ix ) const { return ia[ ix ]; } virtual Type&operator[]( int ix ) { return ia[ix]; } virtual void sort( int,int ); virtual int find( Type ); virtual Type min(); virtual Type max(); protected: void swap( int,int ); void init( const Type*, int ); int _size; Type *ia; }; #endif

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (911 / 1065) [2001-3-29 11:32:14]

Each node then accepts only Hello packets coming from neighbors whose neighbor lists contain its own ID Core Selection Process The core selection process is responsible for extracting a subset of nodes to serve as core nodes and associating other ordinary nodes with these cores In addition, this process ensures that each ordinary node is within the speci ed number of hops away from its core Unlike most of existing cluster-head election algorithms, a hop limit is not the only parameter used to determine whether a node is allowed to associate with a certain core The core selection process also ensures that stability of the path between each ordinary node and its own core satis es a certain constraint.

One problem with this move toward polymorphism is that the general use of the subscript operator has gone from an inline memory access to a considerably more expensive virtual function call For example, in the following function, whichever type to which ia actually refers, a simple inline read of the element is all that is necessary:

int find( const Array< int { for ( int ix = 0; ix < // now a virtual if ( ia[ ix ] == return ix; return -1; }

> &ia, int value ) iasize(); ++ix ) function call value )

To accommodate performance concerns, we provide an inline at() member function providing a direct read of the element