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SparseGenRowLinSOE.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: 1.3 $ // $Date: 2006/10/02 20:23:22 $ // $Source: /usr/local/cvs/OpenSees/SRC/system_of_eqn/linearSOE/sparseGEN/SparseGenRowLinSOE.cpp,v $ // Written: fmk // Created: 04/05 // // Description: This file contains the implementation for SparseGenRowLinSOE #include <SparseGenRowLinSOE.h> #include <SparseGenRowLinSolver.h> #include <Matrix.h> #include <Graph.h> #include <Vertex.h> #include <VertexIter.h> #include <math.h> #include <Channel.h> #include <FEM_ObjectBroker.h> SparseGenRowLinSOE::SparseGenRowLinSOE(SparseGenRowLinSolver &the_Solver) :LinearSOE(the_Solver, LinSOE_TAGS_SparseGenRowLinSOE), size(0), nnz(0), A(0), B(0), X(0), colA(0), rowStartA(0), vectX(0), vectB(0), Asize(0), Bsize(0), factored(false) { the_Solver.setLinearSOE(*this); } /******************************************************************************* SparseGenRowLinSOE::SparseGenRowLinSOE(int N, int NNZ, int *RowStartA, int *ColA, SparseGenRowLinSolver &the_Solver) :LinearSOE(the_Solver, LinSOE_TAGS_SparseGenRowLinSOE), size(N), nnz(NNZ), A(0), B(0), X(0), colA(ColA), rowStartA(RowStartA), vectX(0), vectB(0), Asize(0), Bsize(0), factored(false) { A = new double[NNZ]; if (A == 0) { opserr << "WARNING :SparseGenRowLinSOE::SparseGenRowLinSOE :"; opserr << " ran out of memory for A (NNZ) ("; opserr << NNZ << ") \n"; size = 0; nnz = 0; } else { // zero the matrix Asize = NNZ; for (int i=0; i<Asize; i++) A[i] = 0; B = new double[size]; X = new double[size]; if (B == 0 || X == 0) { opserr << "WARNING :SparseGenRowLinSOE::SparseGenRowLinSOE :"; opserr << " ran out of memory for vectors (size) ("; opserr << size << ") \n"; size = 0; Bsize = 0; NNZ = 0; } else { Bsize = size; // zero the vectors for (int j=0; j<size; j++) { B[j] = 0; X[j] = 0; } } } vectX = new Vector(X,size); vectB = new Vector(B,size); the_Solver.setLinearSOE(*this); // invoke setSize() on the Solver if (the_Solver.setSize() < 0) { opserr << "WARNING :SparseGenRowLinSOE::SparseGenRowLinSOE :"; opserr << " solver failed setSize() in constructor\n"; } } *******************************************************************************/ SparseGenRowLinSOE::~SparseGenRowLinSOE() { if (A != 0) delete [] A; if (B != 0) delete [] B; if (X != 0) delete [] X; if (rowStartA != 0) delete [] rowStartA; if (colA != 0) delete []colA; if (vectX != 0) delete vectX; if (vectB != 0) delete vectB; } int SparseGenRowLinSOE::getNumEqn(void) const { return size; } int SparseGenRowLinSOE::setSize(Graph &theGraph) { int result = 0; int oldSize = size; size = theGraph.getNumVertex(); // fist itearte through the vertices of the graph to get nnz Vertex *theVertex; int newNNZ = 0; VertexIter &theVertices = theGraph.getVertices(); while ((theVertex = theVertices()) != 0) { const ID &theAdjacency = theVertex->getAdjacency(); newNNZ += theAdjacency.Size() +1; // the +1 is for the diag entry } nnz = newNNZ; if (newNNZ > Asize) { // we have to get more space for A and colA if (A != 0) delete [] A; if (colA != 0) delete [] colA; A = new double[newNNZ]; colA = new int[newNNZ]; if (A == 0 || colA == 0) { opserr << "WARNING SparseGenRowLinSOE::SparseGenRowLinSOE :"; opserr << " ran out of memory for A and colA with nnz = "; opserr << newNNZ << " \n"; size = 0; Asize = 0; nnz = 0; result = -1; } Asize = newNNZ; } // zero the matrix for (int i=0; i<Asize; i++) A[i] = 0; factored = false; if (size > Bsize) { // we have to get space for the vectors // delete the old if (B != 0) delete [] B; if (X != 0) delete [] X; if (rowStartA != 0) delete [] rowStartA; // create the new B = new double[size]; X = new double[size]; rowStartA = new int[size+1]; if (B == 0 || X == 0 || rowStartA == 0) { opserr << "WARNING SparseGenRowLinSOE::SparseGenRowLinSOE :"; opserr << " ran out of memory for vectors (size) ("; opserr << size << ") \n"; size = 0; Bsize = 0; result = -1; } else Bsize = size; } // zero the vectors for (int j=0; j<size; j++) { B[j] = 0; X[j] = 0; } // create new Vectors objects if (size != oldSize) { if (vectX != 0) delete vectX; if (vectB != 0) delete vectB; vectX = new Vector(X,size); vectB = new Vector(B,size); } // fill in rowStartA and colA if (size != 0) { rowStartA[0] = 0; int startLoc = 0; int lastLoc = 0; for (int a=0; a<size; a++) { theVertex = theGraph.getVertexPtr(a); if (theVertex == 0) { opserr << "WARNING:SparseGenRowLinSOE::setSize :"; opserr << " vertex " << a << " not in graph! - size set to 0\n"; size = 0; return -1; } colA[lastLoc++] = theVertex->getTag(); // place diag in first const ID &theAdjacency = theVertex->getAdjacency(); int idSize = theAdjacency.Size(); // now we have to place the entries in the ID into order in colA for (int i=0; i<idSize; i++) { int row = theAdjacency(i); bool foundPlace = false; // find a place in colA for current col for (int j=startLoc; j<lastLoc; j++) if (colA[j] > row) { // move the entries already there one further on // and place col in current location for (int k=lastLoc; k>j; k--) colA[k] = colA[k-1]; colA[j] = row; foundPlace = true; j = lastLoc; } if (foundPlace == false) // put in at the end colA[lastLoc] = row; lastLoc++; } rowStartA[a+1] = lastLoc;; startLoc = lastLoc; } } // invoke setSize() on the Solver LinearSOESolver *the_Solver = this->getSolver(); int solverOK = the_Solver->setSize(); if (solverOK < 0) { opserr << "WARNING:SparseGenRowLinSOE::setSize :"; opserr << " solver failed setSize()\n"; return solverOK; } return result; } int SparseGenRowLinSOE::addA(const Matrix &m, const ID &id, double fact) { // check for a quick return if (fact == 0.0) return 0; int idSize = id.Size(); // check that m and id are of similar size if (idSize != m.noRows() && idSize != m.noCols()) { opserr << "SparseGenRowLinSOE::addA() "; opserr << " - Matrix and ID not of similar sizes\n"; return -1; } if (fact == 1.0) { // do not need to multiply for (int i=0; i<idSize; i++) { int row = id(i); if (row < size && row >= 0) { int startRowLoc = rowStartA[row]; int endRowLoc = rowStartA[row+1]; for (int j=0; j<idSize; j++) { int col = id(j); if (col <size && col >= 0) { // find place in A using colA for (int k=startRowLoc; k<endRowLoc; k++) if (colA[k] == col) { A[k] += m(i,j); k = endRowLoc; } } } // for j } } // for i } else { for (int i=0; i<idSize; i++) { int row = id(i); if (row < size && row >= 0) { int startRowLoc = rowStartA[row]; int endRowLoc = rowStartA[row+1]; for (int j=0; j<idSize; j++) { int col = id(j); if (col <size && col >= 0) { // find place in A using colA for (int k=startRowLoc; k<endRowLoc; k++) if (colA[k] == col) { A[k] += fact * m(i,j); k = endRowLoc; } } } // for j } } // for i } return 0; } int SparseGenRowLinSOE::addB(const Vector &v, const ID &id, double fact) { // check for a quick return if (fact == 0.0) return 0; int idSize = id.Size(); // check that m and id are of similar size if (idSize != v.Size() ) { opserr << "SparseGenRowLinSOE::addB() "; opserr << " - Vector and ID not of similar sizes\n"; return -1; } if (fact == 1.0) { // do not need to multiply if fact == 1.0 for (int i=0; i<idSize; i++) { int pos = id(i); if (pos <size && pos >= 0) B[pos] += v(i); } } else if (fact == -1.0) { // do not need to multiply if fact == -1.0 for (int i=0; i<idSize; i++) { int pos = id(i); if (pos <size && pos >= 0) B[pos] -= v(i); } } else { for (int i=0; i<idSize; i++) { int pos = id(i); if (pos <size && pos >= 0) B[pos] += v(i) * fact; } } return 0; } int SparseGenRowLinSOE::setB(const Vector &v, double fact) { // check for a quick return if (fact == 0.0) return 0; if (v.Size() != size) { opserr << "WARNING BandGenLinSOE::setB() -"; opserr << " incomptable sizes " << size << " and " << v.Size() << endln; return -1; } if (fact == 1.0) { // do not need to multiply if fact == 1.0 for (int i=0; i<size; i++) { B[i] = v(i); } } else if (fact == -1.0) { for (int i=0; i<size; i++) { B[i] = -v(i); } } else { for (int i=0; i<size; i++) { B[i] = v(i) * fact; } } return 0; } void SparseGenRowLinSOE::zeroA(void) { double *Aptr = A; for (int i=0; i<Asize; i++) *Aptr++ = 0; factored = false; } void SparseGenRowLinSOE::zeroB(void) { double *Bptr = B; for (int i=0; i<size; i++) *Bptr++ = 0; } void SparseGenRowLinSOE::setX(int loc, double value) { if (loc < size && loc >=0) X[loc] = value; } void SparseGenRowLinSOE::setX(const Vector &x) { if (x.Size() == size && vectX != 0) *vectX = x; } const Vector & SparseGenRowLinSOE::getX(void) { if (vectX == 0) { opserr << "FATAL SparseGenRowLinSOE::getX - vectX == 0"; exit(-1); } return *vectX; } const Vector & SparseGenRowLinSOE::getB(void) { if (vectB == 0) { opserr << "FATAL SparseGenRowLinSOE::getB - vectB == 0"; exit(-1); } return *vectB; } double SparseGenRowLinSOE::normRHS(void) { double norm =0.0; for (int i=0; i<size; i++) { double Yi = B[i]; norm += Yi*Yi; } return sqrt(norm); } int SparseGenRowLinSOE::setSparseGenRowSolver(SparseGenRowLinSolver &newSolver) { newSolver.setLinearSOE(*this); if (size != 0) { int solverOK = newSolver.setSize(); if (solverOK < 0) { opserr << "WARNING:SparseGenRowLinSOE::setSolver :"; opserr << "the new solver could not setSeize() - staying with old\n"; return -1; } } return this->LinearSOE::setSolver(newSolver); } int SparseGenRowLinSOE::sendSelf(int cTag, Channel &theChannel) { return 0; } int SparseGenRowLinSOE::recvSelf(int cTag, Channel &theChannel, FEM_ObjectBroker &theBroker) { return 0; } Generated on Mon Oct 23 15:05:29 2006 for OpenSees by  1.5.0

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