MRPT
1.9.9

To use the template, a class must be derived from CAStarAlgorithm<Solution class>="">.
In this case, the Solution Class is CCoinDistribution.
Definition at line 65 of file vision_stereo_rectify/test.cpp.
Public Member Functions  
CAStarExample (size_t goal)  
When a class derives from CAStarAlgorithm, its constructor should include all the data that define the specific problem. More...  
virtual bool  isSolutionEnded (const CCoinDistribution &s) 
The following five methods must be implemented to use the algorithm: More...  
virtual bool  isSolutionValid (const CCoinDistribution &s) 
Client code must implement this method. More...  
virtual void  generateChildren (const CCoinDistribution &s, vector< CCoinDistribution > &sols) 
Client code must implement this method. More...  
virtual double  getHeuristic (const CCoinDistribution &s) 
Client code must implement this method. More...  
virtual double  getCost (const CCoinDistribution &s) 
Client code must implement this method. More...  
int  getOptimalSolution (const CCoinDistribution &initialSol, CCoinDistribution &finalSol, double upperLevel=HUGE_VAL, double maxComputationTime=HUGE_VAL) 
Finds the optimal solution for a problem, using the A* algorithm. More...  
Private Attributes  
const size_t  N 
Problem goal. More...  

inline 
When a class derives from CAStarAlgorithm, its constructor should include all the data that define the specific problem.
Definition at line 78 of file vision_stereo_rectify/test.cpp.

inlinevirtual 
Client code must implement this method.
Given a partial solution, returns all its children solution, regardless of their validity or completeness.
Implements mrpt::graphs::CAStarAlgorithm< CCoinDistribution >.
Definition at line 90 of file vision_stereo_rectify/test.cpp.

inlinevirtual 
Client code must implement this method.
Given a (possibly partial) solution, calculates its cost so far. This cost must not decrease with each step. That is, a solution cannot have a smaller cost than the previous one from which it was generated.
Implements mrpt::graphs::CAStarAlgorithm< CCoinDistribution >.
Definition at line 108 of file vision_stereo_rectify/test.cpp.

inlinevirtual 
Client code must implement this method.
Given a partial solution, estimates the cost of the remaining (unknown) part. This cost must always be greater or equal to zero, and not greater than the actual cost. Thus, must be 0 if the solution is complete.
Implements mrpt::graphs::CAStarAlgorithm< CCoinDistribution >.
Definition at line 102 of file vision_stereo_rectify/test.cpp.

inlineinherited 
Finds the optimal solution for a problem, using the A* algorithm.
Returns whether an optimal solution was actually found. Returns 0 if no solution was found, 1 if an optimal solution was found and 2 if a (possibly suboptimal) solution was found but the time lapse ended.
Definition at line 92 of file CAStarAlgorithm.h.
References mrpt::graphs::CAStarAlgorithm< T >::generateChildren(), mrpt::graphs::CAStarAlgorithm< T >::getTotalCost(), mrpt::graphs::CAStarAlgorithm< T >::isSolutionEnded(), mrpt::graphs::CAStarAlgorithm< T >::isSolutionValid(), mrpt::system::CTicTac::Tac(), and mrpt::system::CTicTac::Tic().

inlinevirtual 
The following five methods must be implemented to use the algorithm:
Implements mrpt::graphs::CAStarAlgorithm< CCoinDistribution >.
Definition at line 82 of file vision_stereo_rectify/test.cpp.

inlinevirtual 
Client code must implement this method.
Returns true if the given solution is acceptable, that is, doesn't violate the problem logic.
Implements mrpt::graphs::CAStarAlgorithm< CCoinDistribution >.
Definition at line 86 of file vision_stereo_rectify/test.cpp.

private 
Problem goal.
Definition at line 71 of file vision_stereo_rectify/test.cpp.
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