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61
sparsesmat.h
61
sparsesmat.h
@@ -62,24 +62,25 @@ public:
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void simplify();
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~SparseSMat();
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inline int getcount() const {return count?*count:0;}
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//
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SparseSMat & operator*=(const T &a); //multiply by a scalar
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inline const SparseSMat operator*(const T &rhs) const {return SparseSMat(*this) *= rhs;}
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/*@@@to be done
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inline const SparseSMat operator+(const T &rhs) const {return SparseSMat(*this) += rhs;}
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inline const SparseSMat operator-(const T &rhs) const {return SparseSMat(*this) -= rhs;}
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inline const SparseSMat operator*(const T &rhs) const {return SparseSMat(*this) *= rhs;}
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inline const SparseSMat operator+(const SparseSMat &rhs) const {return SparseSMat(*this) += rhs;}
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inline const SparseSMat operator-(const SparseSMat &rhs) const {return SparseSMat(*this) -= rhs;}
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inline const SparseSMat operator*(const SparseSMat &rhs) const; //!!!NOT A GENERAL ROUTINE, JUST FOR THE CASES WHEN THE RESULT STAYS SYMMETRIC
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SparseSMat & operator=(const T &a); //assign a to diagonal
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SparseSMat & operator+=(const T &a); //assign a to diagonal
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SparseSMat & operator-=(const T &a); //assign a to diagonal
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SparseSMat & operator*=(const T &a); //multiply by a scalar
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SparseSMat & operator+=(const SparseSMat &rhs);
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SparseSMat & operator-=(const SparseSMat &rhs);
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void gemv(const T beta, NRVec<T> &r, const char trans, const T alpha, const NRVec<T> &x) const;
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void axpy(const T alpha, const SparseSMat &x, const bool transp=0); // this+= a*x
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const typename LA_traits<T>::normtype norm(const T scalar=(T)0) const;
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void add(const SPMatindex n, const SPMatindex m, const T elem, const bool both=true);
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*/
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inline const SparseSMat operator*(const SparseSMat &rhs) const {SparseSMat<T> r(nn); r.gemm(0,*this,'n',rhs,'n',1); return r;}; //!!!NOT A GENERAL ROUTINE, JUST FOR THE CASES WHEN THE RESULT STAYS SYMMETRIC
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void gemm(const T beta, const SparseSMat &a, const char transa, const SparseSMat &b, const char transb, const T alpha); //this := alpha*op( A )*op( B ) + beta*this !!!NOT A GENERAL ROUTINE, JUST FOR THE CASES WHEN THE RESULT STAYS SYMMETRIC
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inline void add(const SPMatindex n, const SPMatindex m, const T elem, const bool both=true);
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unsigned int length() const;
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void transposeme() const {};
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int nrows() const {return nn;}
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@@ -293,7 +294,6 @@ void SparseSMat<T>::add(const SPMatindex n, const SPMatindex m, const T elem, co
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if(n>=nn || m>=nn) laerror("illegal index in SparseSMat::add()");
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#endif
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if(!v[n]) v[n] = new std::map<SPMatindex,T>;
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if(!v[m]) v[m] = new std::map<SPMatindex,T>;
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typename std::map<SPMatindex,T>::iterator p;
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@@ -301,6 +301,7 @@ p= v[n]->find(m);
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if(p!=v[n]->end()) p->second+=elem; else (*v[n])[m] = elem;
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if(n!=m && both) //add also transposed
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{
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if(!v[m]) v[m] = new std::map<SPMatindex,T>;
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p= v[m]->find(n);
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if(p!=v[m]->end()) p->second+=elem; else (*v[m])[n] = elem;
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}
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@@ -317,42 +318,42 @@ for(SPMatindex i=0; i<nn; ++i) if(v[i])
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//build a list since we are not sure whether erase from within the traversal loop is safe
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std::list<SPMatindex> l;
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typename std::map<SPMatindex,T>::iterator p;
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for(p=v[i]->begin(); p!=v[i]->end(); ++p)
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if(std::abs(p->second) < SPARSEEPSILON) l.push_front(p->first);
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typename std::list<SPMatindex>::iterator q;
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for(q=l.begin(); q!=l.end(); ++q) v[i]->erase(*q);
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if(v[i]->size() == 0) delete v[i];
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}
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for(p=v[i]->begin(); p!=v[i]->end(); ++p)
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if(std::abs(p->second) < SPARSEEPSILON) l.push_front(p->first);
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typename std::list<SPMatindex>::iterator q;
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for(q=l.begin(); q!=l.end(); ++q) v[i]->erase(*q);
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if(v[i]->size() == 0) delete v[i];
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}
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}
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template <typename T>
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std::ostream & operator<<(std::ostream &s, const SparseSMat<T> &x)
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{
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SPMatindex n;
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SPMatindex n;
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n = x.nrows();
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s << n << " "<< n<< std::endl;
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n = x.nrows();
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s << n << " "<< n<< std::endl;
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typename SparseSMat<T>::iterator p(x);
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for(; p.notend(); ++p) s << (int)p->row << ' ' << (int)p->col << ' ' << (typename LA_traits_io<T>::IOtype) p->elem << '\n';
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s << "-1 -1\n";
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return s;
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s << "-1 -1\n";
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return s;
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}
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template <class T>
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std::istream& operator>>(std::istream &s, SparseSMat<T> &x)
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{
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SPMatindex n,m;
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long i,j;
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s >> n >> m;
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if(n!=m) laerror("SparseSMat must be square");
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x.resize(n);
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s >> i >> j;
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typename LA_traits_io<T>::IOtype tmp;
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while(i>=0 && j>=0)
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{
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s>>tmp;
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x.add(i,j,tmp,false);
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{
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SPMatindex n,m;
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long i,j;
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s >> n >> m;
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if(n!=m) laerror("SparseSMat must be square");
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x.resize(n);
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s >> i >> j;
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typename LA_traits_io<T>::IOtype tmp;
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while(i>=0 && j>=0)
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{
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s>>tmp;
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x.add(i,j,tmp,false);
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s >> i >> j;
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}
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return s;
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