git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@3170 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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188
lib/atc/SparseVector-inl.h
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188
lib/atc/SparseVector-inl.h
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// SparseVector-inl.h: provides templated functions for SparseVector in
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// separate header
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template<class T>
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SparseVector<T> sparse_rand(unsigned n, unsigned fill, int seed=1234)
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{
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srand(seed);
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const double rmax_inv = 1.0/double(RAND_MAX);
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SparseVector<T> r(n);
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while (r.size()<fill)
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r(rand()%r.nRows())=double(::rand()*rmax_inv);
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return r;
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}
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// Multiplies a Matrix by a SparseVector (M*v) and returns a DenseVector.
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template<class T>
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DenseVector<T> operator*(const Matrix<T> &M, const SparseVector<T> &v)
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{
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DenseVector<T> y(M.nRows());
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STORE::const_iterator it=v.data_.begin();
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for (; it!=v.data_.end(); it++) {
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const unsigned j = it->first;
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const T& vj = it->second;
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for (unsigned i=0; i<M.nRows(); i++) y(i)+=M(i,j)*vj;
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}
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return y;
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}
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// Multiplies a SparseVector by a Matrix (M'*v) and returns a DenseVector.
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template<class T>
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DenseVector<T> operator*(const SparseVector<T> &v, const Matrix<T> &M)
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{
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DenseVector<T> y(M.nCols());
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STORE::const_iterator it=v.data_.begin();
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for (; it!=v.data_.end(); it++) {
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const unsigned i = it->first;
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const T& vi = it->second;
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for (unsigned j=0; j<M.nCols(); j++) y(j)+=vi*M(i,j);
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}
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return y;
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}
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// Computes the dot product between two SparseVectors of equal length.
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template<class T>
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T dot(const SparseVector<T> &a, const SparseVector<T> &b)
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{
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double v = 0.0;
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for (STORE::const_iterator ai=a.data_.begin(); ai!=a.data_.end(); ai++) {
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STORE::const_iterator bi=b.data_.find(ai->first);
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if (bi == b.data_.end()) continue;
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v += ai->second * bi->second;
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}
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return v;
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}
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// Computes the product of a SparseMatrix tranpose with a SparseVector (M'*v).
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template<class T>
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SparseVector<T> operator*(const SparseMatrix<T> &M, const SparseVector<T> &v)
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{
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SparseVector<T> y(M.nRows());
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for (unsigned i=0; i<M.nRows(); i++) {
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double yi=0.0;
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for (unsigned ij=M._ia[i]; ij<M._ia[i+1]; ij++) {
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const unsigned j = M._ja[ij];
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STORE::const_iterator it = v._data.find(j);
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if (it == v._data.end()) continue;
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yi += M._v[ij] * it->second;
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}
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if (yi!=0.0) y(i)+=yi;
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}
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return y;
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}
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// computes the product of a SparseMatrix tranpose with a SparseVector (M'*v).
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template<class T>
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SparseVector<T> operator*(const SparseVector<T> &v, const SparseMatrix<T> &M)
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{
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SparseVector<T> y(M.nCols());
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for (unsigned i=0; i<M.nRows(); i++) {
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STORE::const_iterator it = v._data.find(i);
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if (it == v._data.end()) continue;
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for (unsigned ij=M._ia[i]; ij<M._ia[i+1]; ij++)
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y(M._ja[ij]) += it->second * M._v[ij];
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}
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return y;
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}
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// General constructor - sets the vector length.
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template<class T>
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SparseVector<T>::SparseVector(unsigned n) : length_(n){}
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// Outputs the vector to string
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template<class T>
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std::string SparseVector<T>::tostring() const
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{
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if (size() > nRows()/2) return Vector<T>::tostring();
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STORE::const_iterator it=data_.begin();
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std::string str;
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using ATC_STRING::tostring;
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for (; it!=data_.end(); it++)
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str += tostring(it->first)+": "+tostring(it->second)+'\n';
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return str;
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}
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// Indexes the ith component of the vector or returns zero if not found.
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template<class T>
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T SparseVector<T>::operator()(unsigned i, unsigned j) const
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{
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STORE::const_iterator it = data_.find(i);
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if (it == data_.end()) return 0.0;
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return it->second;
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}
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// Indexes the ith component of the vector or returns zero if not found.
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template<class T>
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T& SparseVector<T>::operator()(unsigned i, unsigned j)
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{
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return data_[i];
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}
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// Indexes the ith component of the vector or returns zero if not found.
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template<class T> T SparseVector<T>::operator[](unsigned i) const
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{
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return (*this)(i);
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}
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// Indexes the ith component of the vector or returns zero if not found.
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template<class T> T& SparseVector<T>::operator[](unsigned i)
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{
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return (*this)[i];
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}
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// Returns the number of nonzeros in the sparse vector.
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template<class T> inline unsigned SparseVector<T>::size() const
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{ return data_.size(); }
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// Returns the number of nonzeros in the sparse vector.
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template<class T> inline unsigned SparseVector<T>::nRows() const
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{ return length_; }
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// Changes the size of the SparseVector
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template<class T>
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void SparseVector<T>::resize(unsigned nRows, unsigned nCols, bool copy)
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{
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length_ = nRows;
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STORE::iterator it;
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for (it=data_.begin(); it!=data_.end(); it++) {
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if (it->second >= length_) data_.erase(it);
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else if (!copy) it->second=T(0);
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}
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}
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// same as resize, but zero rather than copy
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template<class T>
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void SparseVector<T>::reset(unsigned nRows, unsigned nCols, bool zero)
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{
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resize(nRows, nCols, !zero);
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}
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// sets all elements to zero but preserves sparcity
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template<class T>
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void SparseVector<T>::zero()
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{
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STORE::iterator it;
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for (it=data_.begin(); it!=data_.end(); it++) it->second=T(0);
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}
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// TODO
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template<class T>
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void SparseVector<T>::copy(const T* ptr, unsigned nRows, unsigned nCols)
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{
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}
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// TODO
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template<class T>
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void SparseVector<T>::write_restart(FILE *F) const
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{
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}
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// writes a stream to a matlab script to recreate this variable
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template<class T>
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void SparseVector<T>::matlab(ostream &o, const string &s) const
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{
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o << s << "=sparse(" << nRows() << ",1);\n";
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o << showbase << scientific;
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STORE::const_iterator it;
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for (it=data_.begin(); it!=data_.end(); it++)
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o << s << "(" << it->first+1 << ") = " << it->second << ";\n";
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}
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