% +------------------------------------------------------------------------+ % | Reference manual page: Taucs_vector.tex % +------------------------------------------------------------------------+ % | 21.09.2005 Laurent Saboret, Pierre Alliez, Bruno Levy % | Package: Parameterization % | \RCSdef{\RCSTaucsvectorRev}{$Id$} \RCSdefDate{\RCSTaucsvectorDate}{$Date$} % | %%RefPage: end of header, begin of main body % +------------------------------------------------------------------------+ \begin{ccRefClass}{Taucs_vector} %% add template arg's if necessary %% \ccHtmlCrossLink{} %% add further rules for cross referencing links %% \ccHtmlIndexC[class]{} %% add further index entries \ccDefinition % The section below is automatically generated. Do not edit! %START-AUTO(\ccDefinition) The class Taucs\_vector is a C++ wrapper around TAUCS' vector type, which is a simple array. %END-AUTO(\ccDefinition) \ccInclude{CGAL/Taucs_vector.h} \ccIsModel % The section below is automatically generated. Do not edit! %START-AUTO(\ccIsModel) Model of the SparseLinearAlgebraTraits\_d::Vector concept. %END-AUTO(\ccIsModel) \ccParameters The full template declaration is: % The section below is automatically generated. Do not edit! %START-AUTO(\ccParameters) template$<$ \\ class T$>$ \\ class Taucs\_vector; %END-AUTO(\ccParameters) \ccTypes % The section below is automatically generated. Do not edit! %START-AUTO(\ccTypes) \ccNestedType{NT} { } \ccGlue %END-AUTO(\ccTypes) \ccCreation \ccCreationVariable{v} %% choose variable name for \ccMethod % The section below is automatically generated. Do not edit! %START-AUTO(\ccCreation) \ccConstructor{Taucs_vector (int dimension);} { Create a vector initialized with zeros. } \ccGlue \ccConstructor{Taucs_vector (const Taucs_vector< T > & toCopy);} { Copy constructor. } \ccGlue %END-AUTO(\ccCreation) \ccOperations % The section below is automatically generated. Do not edit! %START-AUTO(\ccOperations) \ccMethod{Taucs_vector& operator= (const Taucs_vector< T > & toCopy);} { operator =() } \ccGlue \ccMethod{int dimension () const;} { Return the vector's number of coefficients. } \ccGlue \ccMethod{T operator[] (int i) const;} { Read/write access to 1 vector coefficient. Preconditions: 0 $<$= i $<$ dimension(). } \ccGlue \ccMethod{T& operator[] (int i);} { } \ccGlue \ccMethod{const T* get_taucs_vector () const;} { Get TAUCS vector wrapped by this object. } \ccGlue \ccMethod{T* get_taucs_vector ();} { } \ccGlue %END-AUTO(\ccOperations) \ccSeeAlso \ccRefIdfierPage{CGAL::Taucs_solver_traits} \\ \ccRefIdfierPage{CGAL::Taucs_symmetric_solver_traits} \\ \ccRefIdfierPage{CGAL::Taucs_matrix} \\ \ccRefIdfierPage{CGAL::Taucs_symmetric_matrix} \\ \ccc{OpenNL::DefaultLinearSolverTraits} \\ \ccc{OpenNL::SymmetricLinearSolverTraits} \\ \ccExample A Taucs\_vector object can be used as any array of floating points: \begin{ccExampleCode} typedef CGAL::Taucs_vector Vector; int main(int argc,char * argv[]) { Vector v(100); // 100 elements v[0] = 4.3; ... } \end{ccExampleCode} \end{ccRefClass} % +------------------------------------------------------------------------+ %%RefPage: end of main body, begin of footer % EOF % +------------------------------------------------------------------------+