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The steps of the evalNot() operation are as follows: It allocates a new NotQuery object from the heap It passes the NotQuery object the count of any left and right parentheses the operator needs to output on displaying itself Lastly, it pushes the incomplete operator onto _current_op:

inline void UserQuery:: evalNot() { NotQuery *pq = new NotQuery; if ( _lparenOn ) { pq->lparen( _lparenOn ); _lparenOn = 0; } if ( _rparenOn )

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (865 / 1065) [2001-3-29 11:32:13]

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We believe that a third generation of routing protocols is needed one that coordinates routing decisions to provide better overall network performance We discussed several models to represent MHWNs to enable analysis and optimization of these networks, starting from estimating the throughput of a single-hop link to estimation of an interference-aware routing con gurations for multiple multihop connections Globally aware routing formulations were studied for effective route con gurations under a simplistic physical model The effectiveness of such formulations when translated directly into a realistic environment were studied While signi cant improvements were observed, it was also seen that formulation results from the simplistic formulations can lead to performance limitations under high traf c The assumptions of the underlying physical model and the ideal scheduling policy in the formulations were found to be inaccurate.

{ pq->rparen( _rparenOn ); _rparenOn = 0; } _current_oppush( pq ); }

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When a right closing parentheses is seen, the evalRParen() operation is invoked If the number of active left parentheses is greater than the number of elements in _current_op, then the operation does nothing Otherwise, it executes the following steps: It pops _query_stack to retrieve the current unassigned operand It pops _current_op to retrieve the current incomplete operator It invokes the virtual add_op() Query member function, passing the incomplete operator the unassigned operand Lastly, it pushes the now complete operator onto _query_stack:

inline void UserQuery:: evalRParen() { if ( _paren < _current_opsize() ) { Query *poperand = _query_stacktop(); _query_stackpop(); Query *pop = _current_optop(); _current_oppop(); pop->add_op( poperand ); _query_stackpush( pop ); } }

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The evalWord() operation executes the following steps: It looks for the word within the associated _word_map of the text file If the word is present, it retrieves the location vector and allocates a new NameQuery object on the heap, invoking the two-parameter NameQuery constructor If the word is not present, it allocates a new NameQuery object on the heap, invoking the one-parameter NameQuery constructor If the number of elements within _current_op is less than or equal to the number of parentheses seen, there is no incomplete operator waiting for the NameQuery operand The NameQuery is therefore pushed onto _query_stack; otherwise, the incomplete operator on _current_op is retrieved The virtual add_op() Query member function is invoked, passing the incomplete operator the NameQuery object, and the now-complete operator is pushed onto _query_stack:

The need to capture the lower-level MAC interactions under an advanced physical model was motivated and the existing models to capture the scheduling effects were discussed Superior performance of the globally aware routing formulations with such advanced model were demonstrated The tight coupling of the link quality with the scheduling effects indicates that an integrated routing and MAC formulation is necessary to capture the optimal routing con gurations Analyzing the scheduling interactions in a realistic wireless testbed experiments and comparing them to the advanced physical models used in the simulators is an essential step in verifying the accuracy of the models in realistic testbeds The statistical modeling of physical layer from the testbeds will enable capturing the intricate details like multipath and fading, thus predicting the scheduling interactions with greater accuracy and is an area of future work.

inline void UserQuery:: evalWord( const string &query ) { NameQuery *pq; loc *ploc; if ( ! _word_map->count( query )) pq = new NameQuery( query ); else { ploc = ( *_word_map )[ query ]; pq = new NameQuery( query, *ploc ); } if ( _current_opsize() <= _paren ) _query_stackpush( pq ); else { Query *pop = _current_optop();

Given a positive oating-point number s1.Be1, its square root s.Be is computed as follows: if e1 is even, if e1 is odd, In the rst case (16.22), 1 s (B ulp)1=2 , B ulp: (16:24) s (s1 )1=2 , e e1 =2; s (s1 =B)1=2 , e (e1 1)=2: (16:22) (16:23)

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (866 / 1065) [2001-3-29 11:32:13]

_current_oppop(); pop->add_op( pq ); _query_stackpush( pop ); } }

The main() program of our query text application looks as follows:

While globally aware routing formulations cannot be directly transformed into distributed protocols, it gives the fundamental insight into the parameters required in the design space of the next-generation routing protocols for MHWNs Capturing.

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