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#include <math.h> | 
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#include "OOPSEMinimizer.hpp" | 
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#include "ShakeMin.hpp" | 
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#include "Integrator.cpp" | 
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OOPSEMinimizer::OOPSEMinimizer( SimInfo *theInfo, ForceFields* the_ff , | 
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                                              MinimizerParameterSet * param) | 
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                     :RealIntegrator(theInfo, the_ff), bVerbose(false), bShake(true){ | 
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                                              MinimizerParameterSet * param) : | 
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              RealIntegrator(theInfo, the_ff), bShake(true), bVerbose(false) { | 
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  dumpOut = NULL; | 
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  statOut = NULL; | 
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  tStats = new Thermo(info); | 
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  dumpOut = new DumpWriter(info); | 
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  statOut = new StatWriter(info); | 
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  paramSet = param; | 
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  curX = getCoor(); | 
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  curG.resize(ndim); | 
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  preMove(); | 
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  shakeAlgo = new ShakeMinFramework(theInfo); | 
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  shakeAlgo->doPreConstraint(); | 
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} | 
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OOPSEMinimizer::~OOPSEMinimizer(){ | 
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  delete tStats; | 
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  delete dumpOut; | 
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  delete statOut; | 
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  if(dumpOut) | 
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    delete dumpOut; | 
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  if(statOut) | 
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    delete statOut; | 
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  delete paramSet; | 
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} | 
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  double force[3]; | 
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  double dAtomGrad[6]; | 
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  int shakeStatus; | 
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  status = 1; | 
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  setCoor(x); | 
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  if (nConstrained && bShake){ | 
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    shakeStatus = shakeR(); | 
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  if (bShake){ | 
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    shakeStatus = shakeAlgo->doShakeR(); | 
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    if(shakeStatus < 0) | 
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      status = -1; | 
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  } | 
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  calcForce(1, 1); | 
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  if (nConstrained && bShake){ | 
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    shakeStatus |= shakeF(); | 
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  if (bShake){ | 
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    shakeStatus = shakeAlgo->doShakeF(); | 
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    if(shakeStatus < 0) | 
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      status = -1; | 
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  } | 
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  x = getCoor(); | 
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  energy = tStats->getPotential(); | 
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  status = shakeStatus; | 
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} | 
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/** | 
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} | 
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/* | 
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int OOPSEMinimizer::shakeR(){ | 
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  int i, j; | 
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  int done; | 
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    return 1; | 
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} | 
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    //calculate the value of object function | 
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*/ | 
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//calculate the value of object function | 
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void OOPSEMinimizer::calcF(){ | 
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  calcEnergyGradient(curX, curG, curF, egEvalStatus); | 
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} | 
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/** | 
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 * In thoery, we need to find the minimum along the search direction | 
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 * However, function evaluation is too expensive. I | 
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 * However, function evaluation is too expensive.  | 
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 * At the very begining of the problem, we check the search direction and make sure | 
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 * it is a descent direction | 
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 * we will compare the energy of two end points, | 
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  lsTol = paramSet->getLineSearchTol(); | 
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  //calculate the derivative at a = 0  | 
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  slopeA = 0; | 
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  for (size_t i = 0; i < ndim; i++) | 
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    slopeA += curG[i]*direction[i]; | 
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  if (bVerbose) | 
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    printMinimizerInfo(); | 
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  dumpOut = new DumpWriter(info); | 
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  statOut = new StatWriter(info); | 
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  init(); | 
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    stepStatus = step(); | 
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    if (bShake) | 
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      shakeAlgo->doPreConstraint(); | 
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    if (stepStatus < 0){ | 
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      saveResult(); | 
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      minStatus = MIN_LSERROR; | 
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      writeOut(curX, curIter);  | 
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    } | 
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    //if (curIter == nextResetIter){ | 
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    //  reset(); | 
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    //  nextResetIter += resetFrq;       | 
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    //} | 
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    convgStatus = checkConvg(); | 
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    if (convgStatus > 0){ |