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/*
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LA: linear algebra C++ interface library
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Copyright (C) 2008 Jiri Pittner <jiri.pittner@jh-inst.cas.cz> or <jiri@pittnerovi.com>
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef _SPARSESMAT_H_
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#define _SPARSESMAT_H_
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#include <string>
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#include <cmath>
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#include <stdlib.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <fcntl.h>
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#include <errno.h>
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#include "sparsemat.h"
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#include "vec.h"
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#include "mat.h"
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#include <map>
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#include <list>
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//symmetric sparse matrix class with a representation for efficient exponentiatiation
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//in particular we need a unitary symmetric complex matrix as exp(iH) with H real symmetric
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//indices are counted from zero
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template <typename T>
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class SparseSMat
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{
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protected:
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SPMatindex nn;
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std::map<SPMatindex,T> **v;
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int *count;
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public:
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SparseSMat() : nn(0), v(NULL), count(NULL) {};
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SparseSMat(const SPMatindex n);
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SparseSMat(const SparseSMat &rhs);
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SparseSMat(const SparseMat<T> &rhs);
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SparseSMat & operator=(const SparseSMat &rhs);
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void copyonwrite();
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void clear();
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void simplify();
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~SparseSMat() {clear();};
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//
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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 gemm(const T beta, const SparseSMat &a, const char transa, const SparseSMat &b, const char transb, const T alpha);
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const SparseSMat operator*(const SparseSMat &rhs) const;
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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);
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unsigned int length() const;
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};
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template <typename T>
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SparseSMat<T>::SparseSMat(const SPMatindex n)
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:nn(n),
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count(new int(1))
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{
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v= new std::map<SPMatindex,T> * [n];
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memset(v,0,nn*sizeof(std::map<SPMatindex,T> *));
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}
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template <typename T>
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SparseSMat<T>::SparseSMat(const SparseSMat &rhs)
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{
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v = rhs.v;
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nn = rhs.nn;
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count = rhs.count;
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if(count) (*count)++;
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}
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template <typename T>
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void SparseSMat<T>::clear()
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{
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if(!count) return;
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if(--(*count) <= 0) {
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if(v)
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{
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for(SPMatindex i=0; i<nn; ++i) if(v[i]) delete[] v[i];
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delete[] (v);
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}
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delete count;
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}
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}
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template <typename T>
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SparseSMat<T> & SparseSMat<T>::operator=(const SparseSMat &rhs)
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{
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if (this != &rhs)
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{
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if(count)
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if(--(*count) == 0)
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{
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if(v)
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{
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for(SPMatindex i=0; i<nn; ++i) if(v[i]) delete[] v[i];
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delete[] (v);
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}
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delete count;
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}
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v = rhs.v;
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nn = rhs.nn;
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count = rhs.count;
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if(count) (*count)++;
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}
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return *this;
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}
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template <typename T>
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void SparseSMat<T>::copyonwrite()
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{
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if(!count) laerror("SparseSmat::copyonwrite() of an undefined object");
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if(*count > 1)
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{
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(*count)--;
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count = new int;
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*count = 1;
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std::map<SPMatindex,T> *newv= new std::map<SPMatindex,T> * [nn];
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for(SPMatindex i=0; i<nn; ++i) if(v[i])
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newv[i]= new std::map<SPMatindex,T>(*(v[i])); //deep copy of each map
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else
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newv[i]=NULL;
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v = newv;
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}
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}
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template <typename T>
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void SparseSMat<T>::add(const SPMatindex n, const SPMatindex m, const T elem)
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{
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#ifdef DEBUG
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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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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)
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{
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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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//addition can lead to zero, but do not treat it now, make a simplify
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}
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template <typename T>
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void SparseSMat<T>::simplify()
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{
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for(SPMatindex i=0; i<nn; ++i) if(v[i])
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{
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//check for zero elements and erase them from the list
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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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}
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#endif //_SPARSESMAT_H_
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