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CTestNormUnbalance.cpp Go to the documentation of this file. /* ****************************************************************** ** ** OpenSees - Open System for Earthquake Engineering Simulation ** ** Pacific Earthquake Engineering Research Center ** ** ** ** ** ** (C) Copyright 1999, The Regents of the University of California ** ** All Rights Reserved. ** ** ** ** Commercial use of this program without express permission of the ** ** University of California, Berkeley, is strictly prohibited. See ** ** file 'COPYRIGHT' in main directory for information on usage and ** ** redistribution, and for a DISCLAIMER OF ALL WARRANTIES. ** ** ** ** Developed by: ** ** Frank McKenna (fmckenna@ce.berkeley.edu) ** ** Gregory L. Fenves (fenves@ce.berkeley.edu) ** ** Filip C. Filippou (filippou@ce.berkeley.edu) ** ** ** ** ****************************************************************** */ // $Revision: 1.4 $ // $Date: 2001/06/14 05:26:47 $ // $Source: /usr/local/cvs/OpenSees/SRC/convergenceTest/CTestNormUnbalance.cpp,v $ #include <CTestNormUnbalance.h> #include <Vector.h> #include <Channel.h> #include <EquiSolnAlgo.h> #include <LinearSOE.h> CTestNormUnbalance::CTestNormUnbalance() :ConvergenceTest(CONVERGENCE_TEST_CTestNormUnbalance), theSOE(0), tol(0.0), maxNumIter(0), currentIter(0), printFlag(0), norms(1) { } CTestNormUnbalance::CTestNormUnbalance(double theTol, int maxIter, int printIt) :ConvergenceTest(CONVERGENCE_TEST_CTestNormUnbalance), theSOE(0), tol(theTol), maxNumIter(maxIter), currentIter(0), printFlag(printIt), norms(maxNumIter) { } CTestNormUnbalance::~CTestNormUnbalance() { } ConvergenceTest* CTestNormUnbalance::getCopy( int iterations ) { CTestNormUnbalance *theCopy ; theCopy = new CTestNormUnbalance( this->tol, iterations, this->printFlag ) ; theCopy->theSOE = this->theSOE ; return theCopy ; } void CTestNormUnbalance::setTolerance(double newTol) { tol = newTol; } int CTestNormUnbalance::setEquiSolnAlgo(EquiSolnAlgo &theAlgo) { theSOE = theAlgo.getLinearSOEptr(); if (theSOE == 0) { cerr << "WARNING: CTestNormUnbalance::setEquiSolnAlgo - no SOE\n"; return -1; } else return 0; } int CTestNormUnbalance::test(void) { // check to ensure the SOE has been set - this should not happen if the // return from start() is checked if (theSOE == 0) return -2; // check to ensure the algo does invoke start() - this is needed otherwise // may never get convergence later on in analysis! if (currentIter == 0) { cerr << "WARNING: CTestNormDisp::test() - start() was never invoked.\n"; return -2; } // get the B vector & determine it's norm & save the value in norms vector const Vector &x = theSOE->getB(); double norm = x.Norm(); if (currentIter <= maxNumIter) norms(currentIter-1) = norm; // print the data if required if (printFlag == 1) { cerr << "\t CTestNormUnbalance::test() - iteration: " << currentIter; cerr << " current Norm: " << norm << " (max: " << tol << ")\n"; } // print the data if required if (printFlag == 4) { cerr << "\t CTestNormUnbalance::test() - iteration: " << currentIter; cerr << " current Norm: " << norm << " (max: " << tol << ")\n"; cerr << " Norm deltaX: " << (theSOE->getX()).Norm() << " Norm deltaR: " << norm << endl; cerr << "deltaX: " << theSOE->getX() << "deltaR: " << x; } // // check if the algorithm converged // // if converged - print & return ok if (norm <= tol) { // the algorithm converged // do some printing first if (printFlag != 0) { if (printFlag == 1) cerr << endl; else if (printFlag == 2) { cerr << "\t CTestNormUnbalance::test() - iteration: " << currentIter; cerr << " last Norm: " << norm << " (max: " << tol << ")\n"; } } // return the number of times test has been called return currentIter; } // algo failed to converged after specified number of iterations - but RETURN OK else if (printFlag == 5 && currentIter >= maxNumIter) { cerr << "WARNING: CTestUnbalanceIncr::test() - failed to converge but going on - "; cerr << " current Norm: " << norm << " (max: " << tol << ")\n"; cerr << " Norm deltaX: " << (theSOE->getX()).Norm() << " Norm deltaR: " << x.Norm() << endl; return currentIter; } // algo failed to converged after specified number of iterations - return FAILURE -2 else if (currentIter >= maxNumIter) { // the algorithm failed to converge cerr << "WARNING: CTestNormUnbalance::test() - failed to converge \n"; cerr << "after: " << currentIter << " iterations\n"; currentIter++; // we increment in case analysis does not check for convergence return -2; } // algo not yet converged - increment counter and return -1 else { // the algorithm has not converged yet currentIter++; return -1; } } int CTestNormUnbalance::start(void) { if (theSOE == 0) { cerr << "WARNING: CTestNormUnbalance::test() - no SOE returning true\n"; return -1; } // set iteration count = 1 norms.Zero(); currentIter = 1; return 0; } int CTestNormUnbalance::getNumTests() { return currentIter; } int CTestNormUnbalance::getMaxNumTests(void) { return maxNumIter; } double CTestNormUnbalance::getRatioNumToMax(void) { double div = maxNumIter; return currentIter/div; } const Vector & CTestNormUnbalance::getNorms() { return norms; } int CTestNormUnbalance::sendSelf(int cTag, Channel &theChannel) { int res = 0; Vector x(2); x(0) = tol; x(1) = maxNumIter; res = theChannel.sendVector(this->getDbTag(), cTag, x); if (res < 0) cerr << "CTestNormUnbalance::sendSelf() - failed to send data\n"; return res; } int CTestNormUnbalance::recvSelf(int cTag, Channel &theChannel, FEM_ObjectBroker &theBroker) { int res = 0; Vector x(2); res = theChannel.recvVector(this->getDbTag(), cTag, x); if (res < 0) { tol = 1.0e-8; maxNumIter = 25; cerr << "CTestNormUnbalance::sendSelf() - failed to send data\n"; } else { tol = x(0); maxNumIter = x(1); norms.resize(maxNumIter); } return res; }

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