first release version
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#include <vector>
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#include <map>
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#include <algorithm>
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///this class define the interface to use sparse matrix
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///you must extend this class and implement the code of each function in order
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///to the system solver you're using.
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///For details on implementation see system_interface_LDL.h as example
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template <class ScalarType>
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class SparseMatrix{
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public:
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std::vector<int> _Ap;
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std::vector<int> _Ai;
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std::vector<double> _Ax;
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typedef typename std::pair<int,int> IndexType;
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int _dimension;
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public:
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///initilaization of the system
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virtual void Initalize(int dimension)
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{_dimension=dimension;}
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///create a sparse matrix given a set of entries as vector
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///of pair of int
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virtual void CreateSparse(std::vector<IndexType> Entries)
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{}
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///return the value of the matrix
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virtual ScalarType &A(int row,int col)
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{return (_Ax[0]);}
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///return true if the rapresention of sparse matriz is symmetric
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virtual bool IsSymmetric()
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{return false;}
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virtual void Zero()
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{}
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///return the dimension of the matrix
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virtual int Size(){return _dimension;}
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};
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extern "C"{
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#include <ldl.h>
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}
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#include <vector>
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#include <map>
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#include <algorithm>
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#include <sparse_matrix.h>
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class SystemLDL:SparseMatrix<double>{
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private:
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typedef std::map<IndexType,int> mapType;
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std::vector<double> _B;
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std::vector<double> _X;
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std::vector<double> Lx,D,Y ;
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std::vector<int> Li,Lp,Parent,Lnz,Flag,Pattern;
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mapType _M;
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public:
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///allocate the resources for the system of equations
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void Initalize(int dimension)
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{
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_dimension=dimension;
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_Ap.resize(_dimension+1);
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_M.clear();
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_B.resize(_dimension);
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_X.resize(_dimension);
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}
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double &A(int row,int col)
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{
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IndexType I=IndexType(row,col);
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mapType::const_iterator ci=_M.find(I);
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if (ci==_M.end())
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{
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std::swap<int>(I.first,I.second);
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ci=_M.find(I);
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}
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assert(ci!=_M.end());
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int index=(*ci).second;
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return(_Ax[index]);
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}
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double &B(int i)
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{return(_B[i]);}
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double &X(int i)
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{return (_X[i]);}
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void Solve()
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{
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int d,i;
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// /* factorize A into LDL' (P and Pinv not used) */
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ldl_symbolic (_dimension, &(*_Ap.begin()), &(*_Ai.begin()), &(*Lp.begin()),
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&(*Parent.begin()), &(*Lnz.begin()), &(*Flag.begin()), NULL, NULL) ;
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// printf ("Nonzeros in L, excluding diagonal: %d\n", Lp [_dimension]) ;
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d = ldl_numeric (_dimension, &(*_Ap.begin()), &(*_Ai.begin()), &(*_Ax.begin()), &(*Lp.begin())
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, &(*Parent.begin()), &(*Lnz.begin()), &(*Li.begin()), &(*Lx.begin()),
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&(*D.begin()), &(*Y.begin()), &(*Pattern.begin()),
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&(*Flag.begin()), NULL, NULL) ;
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if (d == _dimension)
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{
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/* solve Ax=b, overwriting b with the solution x */
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ldl_lsolve (_dimension, &(*_B.begin()), &(*Lp.begin()), &(*Li.begin()), &(*Lx.begin())) ;
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ldl_dsolve (_dimension, &(*_B.begin()), (&*D.begin()) );
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ldl_ltsolve (_dimension, &(*_B.begin()), &(*Lp.begin()), &(*Li.begin()), &(*Lx.begin())) ;
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for (i = 0 ; i < _dimension ; i++)
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_X[i]=_B[i];//printf ("x [%d] = %g\n", i, b [i]) ;
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}
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else///dl_numeric failed
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{
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assert(0);
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}
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}
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bool IsSymmetric()
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{return true;}
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void Zero()
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{
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for (int i=0;i<Size();i++)
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_Ax[i]=0;
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}
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int Size(){return (_dimension);}
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///K is symmetric positice definite matrix
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void CreateSparse(std::vector<IndexType> Entries)
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{
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_Ax.clear();
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_Ai.clear();
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int _nonzero=0;
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///put the index of vertices for each edge
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///in the right order for simmetry of the sistem
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std::vector<IndexType>::iterator Vi;
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for (Vi=Entries.begin();Vi<Entries.end();Vi++)
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{
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assert((*Vi).first>=0);
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assert((*Vi).second>=0);
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if ((*Vi).first>(*Vi).second)
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std::swap<int>((*Vi).first,(*Vi).second);
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}
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///the sort and erase duplicates
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std::sort(Entries.begin(),Entries.end());
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std::vector<IndexType>::iterator Vend=std::unique(Entries.begin(),Entries.end());
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Entries.erase(Vend,Entries.end());
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_Ax.resize(Entries.size());
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_Ai.resize(Entries.size());
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_M.clear();
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int col=0;
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int i=0;
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Vi=Entries.begin();
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while (Vi<Entries.end())
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{
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col=(*Vi).first;
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_Ap[i]=_nonzero;
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//go to next colummn
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while ((col==(*Vi).first)&&(Vi<Entries.end()))
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{
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IndexType I=IndexType((*Vi).first,(*Vi).second);
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_M.insert(std::pair<IndexType,int>(I,_nonzero));
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_Ai[_nonzero]=(*Vi).second;
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_nonzero++;
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Vi++;
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}
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i++;
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}
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_Ap[_dimension]=_nonzero;
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Lx.resize(_nonzero);
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D.resize(_dimension);
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Y.resize(_dimension);
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Li.resize(_nonzero);
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Lp.resize(_dimension+1);
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Parent.resize(_dimension);
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Lnz.resize(_dimension);
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Flag.resize(_dimension);
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Pattern.resize(_dimension);
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}
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};
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