类中的分段错误(核心转储)

时间:2013-04-22 14:57:15

标签: c++ segmentation-fault

运行以下代码时出现此错误:

Segmentation fault (core dumped)

我找不到原因。

 #ifndef DQMCBASE__H
 #define DQMCBASE__H
 const double pi=3.141592645;
 #define rnd() ((double)rand())/ RAND_MAX

 /**
  * The basic walker class. This class serves the purpose of providing 
  * a structure that can be reused by inheriting. 
  */
 class DQMCWalker {
   double _x;        ///< dummy variable to implement basic 1D      Harmonioscillator      example.
  This variable will be removed in future versions.
   double _timeStep; ///< is the timestep in between to simultanious simulations
 public:
   DQMCWalker();
   ~DQMCWalker();
   /**
    * implements a normal distribution that can be used for the walking 
    * process defined in 
    * @see WalkNormal()
    *
    * @param variance the variance of the distribution.
    * @param meanvalue the mean value of the distribution.
    *
    * @return A double distributed according to a normal distribution.
    */
   double NormalDistribution(double variance, double meanvalue);

   /** 
    * a virtual function that describes the walking process of the walker. 
    *
    * @return returns 0, always.
    */
   virtual int WalkNormal();
   virtual double Potential();
   virtual double Weight(double);
   int Copy(DQMCWalker);
   double SetDeltaT(double);
   double GetDeltaT();
 };


 /*  *
  * The simulation class is a basic class that implements the basic features of           walking, branching 
  * TODO
  */
 template <class walker>
 class DQMCSimulation {
   walker* _walkers;
   walker* _copies;
   double _refE;
   double _timeStep;
   int _population;
   int _max_walkers;
   int _last_pop,_cur_pop,_nCopies;
 public:

   /**
    * The constructor is used to define the simulation parameters of an instance. It      takes two parameters, 
    * namely, the number of walkers and the time step in between two iterations.
    * 
    * @param n the number of walkers used in the simulation.
    * @param dt the time step in between two iterations.
    */
   DQMCSimulation(int n, double dt);
   ~DQMCSimulation();

   /**
    * This function is used to perform one iteration. Every time this function is           called 
    * a walkers are move according to the implementation of DQMCWalker::Walk(), next    the 
    * reference energy is calculted according to the formula
    *  TODO
    * and lastly, a birth-death process is performed.
    */
   int Iterate();
   double GetReferenceEnergy();
   walker* WalkerArray();
 };

 #endif

到此为止可以嵌入到DQMCBase.h文件中

 /* DQMCBase.cpp */
 #include <iostream>
 #include<math.h>
 #include<stdlib.h>
 #include<ctime>
 //#include <DQMCBase.h>
 using namespace std;


 DQMCWalker::DQMCWalker() {
   _timeStep=0.1;
   _x=0.0;
 }
 DQMCWalker::~DQMCWalker() {
   _x=0.0;
 }
 double DQMCWalker::NormalDistribution(double variance=1.0, double meanvalue=0.0) {
   int samples=12;
   double res = 0.0;
   for(int i=0;i<samples;i++)
     res +=rnd();
   res = (res - samples*0.5)*sqrt(variance)+meanvalue;
   return res;
 }
 int DQMCWalker::WalkNormal() {
   _x+=NormalDistribution(1.0,0.0)*sqrt(_timeStep);
   return 0;
 }
 double DQMCWalker::Potential() {
   return 0.5*_x*_x;
 }

 double DQMCWalker::Weight(double refE) {
   return exp(-(Potential()-refE)*_timeStep);
 }
 int DQMCWalker::Copy(DQMCWalker w) {
   _x = w._x;
   return 0;
 }

 double DQMCWalker::SetDeltaT(double timeStep) {
   return (_timeStep = timeStep);
 }

 double DQMCWalker::GetDeltaT() {
   return _timeStep;
 }

 template <class walker>
 DQMCSimulation<walker>::DQMCSimulation(int n, double dt) {
   _max_walkers = n;
   _timeStep = dt;
   _population = n;
   _last_pop = _cur_pop = _population;
   _walkers = new walker[2*n];
   _copies = new walker[2*n];
   for(int i=0;i<2*n; i++) {
     _walkers[i].SetDeltaT(dt);
     _copies[i].SetDeltaT(dt);
   }
 }

 template<class walker>
 DQMCSimulation<walker>::~DQMCSimulation() {
   delete[] _walkers;
 }


 template <class walker>
 int DQMCSimulation <walker>::Iterate() {
   int i;
   /* Make the walkers walk */
   for(i=0;i<_cur_pop;i++) 
     _walkers[i].WalkNormal();

   /* Calculating the reference energy */
   double avg=0.0;
   for(i=0;i<_cur_pop;i++) 
     avg += _walkers[i].Potential();
   avg/=_cur_pop;
   _refE =avg - (_cur_pop-_population)/(_population*_timeStep);
   _last_pop = _cur_pop;

   /* This is the part where walkers spawn and die */   
   int m,j;
   _nCopies = 0;
   for(i=0;i<_cur_pop;i++) {
     m = floor(_walkers[i].Weight(_refE)+rnd());
     if(m<3) m=3;
     if(m==0) { /* The poor Walker dies */
       if(_cur_pop>1) {
         _walkers[i].Copy(_walkers[_cur_pop]);
         i--, _cur_pop--;
       } else {
         cout << "WARNING :: Your population is dying!" << endl;
       }
     } else {
       for(j=1;j<m;j++) {
         _copies[_nCopies].Copy(_walkers[i]);
         _nCopies++;
       }
     }    
   }
   /* Adding the copies */
   for(j=0;j<_nCopies; j++) {
     _walkers[_cur_pop].Copy(_copies[j]);
     _cur_pop++;
   }


   return 0;
 }


 template<class walker>
 double  DQMCSimulation<walker>::GetReferenceEnergy() {
   return _refE;
 }

 template<class walker>
 walker* DQMCSimulation<walker>::WalkerArray() {
   return _walkers;
 }

 /*************************
  * 1D Harmonic Oscillator
 ************************/
 class DQMCHarmonic1DWalker : public DQMCWalker {
   double _x;
  public:
   DQMCHarmonic1DWalker() {
     _x=0.0;
   }
   int WalkNormal() {
     double dt = sqrt(GetDeltaT());
     _x+=NormalDistribution(1.0,0.0)*dt;
     return 0;
   }
   double Potential() {
     return 0.5*(_x*_x);
   }

   int Copy(DQMCHarmonic1DWalker w) {
      _x = w._x;
     return 0;
   }

 };

这是该计划的主要内容

 int main() {
   srand ( time(NULL) );

   int i,j, count;
   double refE;
   cout << "Hamonic 1D:" << endl;
   DQMCSimulation<DQMCHarmonic1DWalker> simulation1(500,0.1);
   refE = 0.0;
   for(i=1; i<1000; i++) {
     simulation1.Iterate();
     refE += simulation1.GetReferenceEnergy();
     if(i%50==0) 
       cout << refE/i << ", ";
   }
   return 0;
 }

1 个答案:

答案 0 :(得分:0)

第一个容易引起注意的问题是,您需要关注DQMCSimulation类的 Rule of Three/Five