sparsemat bugfixes
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+29
-6
@@ -128,9 +128,9 @@ public:
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void permuteindices(const NRVec<SPMatindex> &p); //for backward compatibility, indices from 0
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void permuterows(const NRVec<SPMatindex> &p); //for backward compatibility, indices from 0
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void permutecolumns(const NRVec<SPMatindex> &p); //for backward compatibility, indices from 0
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void permuteme_rows(const NRPerm<int> &p, const bool inverse=false); //indexed from 1
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void permuteme_cols(const NRPerm<int> &p, const bool inverse=false); //indexed from 1
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void permuteme_both(const NRPerm<int> &p, const NRPerm<int> &q, const bool inverse=false); //indexed from 1
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void permuteme_rows(const NRPerm<int> &p, const bool inverse=false); //matrix indices from 0, permutation from 1
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void permuteme_cols(const NRPerm<int> &p, const bool inverse=false); //matrix indices from 0, permutation from 1
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void permuteme_both(const NRPerm<int> &p, const NRPerm<int> &q, const bool inverse=false); //matrix indices from 0, permutation from 1
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const SparseMat permuted_rows(const NRPerm<int> &p, const bool inverse=false) const {SparseMat a(*this); a.permuteme_rows(p,inverse); return a;};
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const SparseMat permuted_cols(const NRPerm<int> &p, const bool inverse=false) const {SparseMat a(*this); a.permuteme_cols(p,inverse); return a;};
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const SparseMat permuted_both(const NRPerm<int> &p, const NRPerm<int> &q, const bool inverse=false) const {SparseMat a(*this); a.permuteme_both(p,q,inverse); return a;};
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@@ -140,12 +140,12 @@ public:
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inline bool issymmetric() const {return symmetric;}
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unsigned int length() const;
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void copyonwrite(bool detachonly=false, bool deep=true);
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void clear() {copyonwrite(LA_traits<T>::is_plaindata()); if(count) {delete count; count=NULL;}}
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void clear() {bool sym=symmetric; resize(nn,mm); symmetric=sym;} //zero matrix of the same dimensions and symmetry
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void simplify(const double sparseepsilon=SPARSEEPSILON);
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const T trace() const;
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const typename LA_traits<T>::normtype norm(const T scalar=(T)0) const; //is const only mathematically, not in internal implementation - we have to simplify first
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unsigned int sort(int type) const;
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inline void add(const SPMatindex n, const SPMatindex m, const T elem) {matel<T> *ltmp= new matel<T>; ltmp->next=list; list=ltmp; list->row=n; list->col=m; list->elem=elem;}
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inline void add(const SPMatindex n, const SPMatindex m, const T elem) {if(nonzero) unsort(); matel<T> *ltmp= new matel<T>; ltmp->next=list; list=ltmp; list->row=n; list->col=m; list->elem=elem;}
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void addsafe(const SPMatindex n, const SPMatindex m, const T elem);
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void swap(SparseMat &rhs) //more efficient swap than via tmp and constructors and operator=
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{
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@@ -305,6 +305,7 @@ template<typename T>
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NRMat<T> & NRMat<T>::operator+=(const SparseMat<T> &rhs)
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{
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if((unsigned int)nn!=rhs.nrows()||(unsigned int)mm!=rhs.ncols()) laerror("incompatible matrices in +=");
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copyonwrite();
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matel<T> *l=rhs.getlist();
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bool sym=rhs.issymmetric();
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while(l)
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@@ -321,6 +322,28 @@ while(l)
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return *this;
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}
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//subtract sparse from dense
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template<typename T>
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NRMat<T> & NRMat<T>::operator-=(const SparseMat<T> &rhs)
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{
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if((unsigned int)nn!=rhs.nrows()||(unsigned int)mm!=rhs.ncols()) laerror("incompatible matrices in -=");
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copyonwrite();
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matel<T> *l=rhs.getlist();
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bool sym=rhs.issymmetric();
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while(l)
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{
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#ifdef MATPTR
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v[l->row][l->col] -=l->elem;
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if(sym && l->row!=l->col) v[l->col][l->row] -=l->elem;
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#else
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v[l->row*mm+l->col] -=l->elem;
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if(sym && l->row!=l->col) v[l->col*mm+l->row] -=l->elem;
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#endif
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l=l->next;
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}
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return *this;
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}
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//a rudimentary class for sparse matrix with a dense diagonal - implemented just enough to call davidson etc. on it
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template <typename T>
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@@ -350,7 +373,7 @@ public:
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if(diagonal.size()>0) //we ASSUME the diagonal is ONLY in the vector
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{
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if(diagonal.size()!=x.size()) laerror("mismatch in diagonal size");
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if(divide) {x.copyonwrite(); for (int i=1; i<x.size(); ++i) x[i]/=diagonal[i]; return NULL;}
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if(divide) {x.copyonwrite(); for (int i=0; i<x.size(); ++i) x[i]/=diagonal[i]; return NULL;}
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else {x|=diagonal; return &x[0];}
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}
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return offdiagonal.diagonalof(x,divide,cache);
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