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tensor - a N*N tensor, N=1,2,3

tensor(2rheolef) rheolef-6.7 tensor(2rheolef)

NAME

tensor - a N*N tensor, N=1,2,3

SYNOPSYS

The tensor class defines a 3*3 tensor, as the value of a tensorial valued field. Basic algebra with scalars, vectors of R^3 (i.e. the point class) and tensor objects are supported.

IMPLEMENTATION

template<class T>
class tensor_basic {
    public:
typedef size_t size_type; typedef T element_type; typedef T float_type;
// allocators:
tensor_basic (const T& init_val = 0); tensor_basic (T x[3][3]); tensor_basic (const tensor_basic<T>& a); static tensor_basic<T> eye (size_type d = 3);
#ifdef _RHEOLEF_HAVE_STD_INITIALIZER_LIST tensor_basic (const std::initializer_list<std::initializer_list<T> >& il); #endif // _RHEOLEF_HAVE_STD_INITIALIZER_LIST
// affectation:
tensor_basic<T>& operator= (const tensor_basic<T>& a); tensor_basic<T>& operator= (const T& val);
// modifiers:
void fill (const T& init_val); void reset (); void set_row (const point_basic<T>& r, size_t i, size_t d = 3); void set_column (const point_basic<T>& c, size_t j, size_t d = 3);
// accessors:
T& operator()(size_type i, size_type j); const T& operator()(size_type i, size_type j) const; point_basic<T> row(size_type i) const; point_basic<T> col(size_type i) const; size_t nrow() const; // = 3, for template matrix compatibility size_t ncol() const;
// inputs/outputs:
std::ostream& put (std::ostream& s, size_type d = 3) const; std::istream& get (std::istream&);
// algebra:
bool operator== (const tensor_basic<T>&) const; bool operator!= (const tensor_basic<T>& b) const { return ! operator== (b); } const tensor_basic<T>& operator+ () const { return *this; } tensor_basic<T> operator- () const; tensor_basic<T> operator+ (const tensor_basic<T>& b) const; tensor_basic<T> operator- (const tensor_basic<T>& b) const; tensor_basic<T> operator* (const tensor_basic<T>& b) const; tensor_basic<T> operator* (const T& k) const; tensor_basic<T> operator/ (const T& k) const; point_basic<T> operator* (const point_basic<T>&) const; point_basic<T> trans_mult (const point_basic<T>& x) const;
// metric and geometric transformations:
T determinant (size_type d = 3) const;
// spectral: // eigenvalues & eigenvectors: // a = q*d*q^T // a may be symmetric // where q=(q1,q2,q3) are eigenvectors in rows (othonormal matrix) // and d=(d1,d2,d3) are eigenvalues, sorted in decreasing order d1 >= d2 >= d3 // return d point_basic<T> eig (tensor_basic<T>& q, size_t dim = 3) const; point_basic<T> eig (size_t dim = 3) const;
// singular value decomposition: // a = u*s*v^T // a can be unsymmetric // where u=(u1,u2,u3) are left pseudo-eigenvectors in rows (othonormal matrix) // v=(v1,v2,v3) are right pseudo-eigenvectors in rows (othonormal matrix) // and s=(s1,s2,s3) are eigenvalues, sorted in decreasing order s1 >= s2 >= s3 // return s point_basic<T> svd (tensor_basic<T>& u, tensor_basic<T>& v, size_t dim = 3) const;
// data: T _x[3][3]; }; typedef tensor_basic<Float> tensor;
// algebra (cont.)
template <class U> point_basic<U> operator* (const point_basic<U>& yt, const tensor_basic<U>& a); template <class U> tensor_basic<U> trans (const tensor_basic<U>& a, size_t d = 3); template <class U> void prod (const tensor_basic<U>& a, const tensor_basic<U>& b, tensor_basic<U>& result, size_t di=3, size_t dj=3, size_t dk=3); // tr(a) = a00 + a11 + a22 template <class U> U tr (const tensor_basic<U>& a, size_t d=3); template <class U> U ddot (const tensor_basic<U>&, const tensor_basic<U>&); // a = u otimes v <==> aij = ui*vj template <class U> tensor_basic<U> otimes (const point_basic<U>& u, const point_basic<U>& v, size_t d=3); template <class U> tensor_basic<U> inv (const tensor_basic<U>& a, size_t d = 3); template <class U> tensor_basic<U> diag (const point_basic<U>& d); template <class U> point_basic<U> diag (const tensor_basic<U>& a); template <class U> U determinant (const tensor_basic<U>& A, size_t d = 3); template <class U> bool invert_3x3 (const tensor_basic<U>& A, tensor_basic<U>& result);
// nonlinear algebra: template<class T> tensor_basic<T> exp (const tensor_basic<T>& a, size_t d = 3);
// inputs/outputs: template<class T> inline std::istream& operator>> (std::istream& in, tensor_basic<T>& a) { return a.get (in); } template<class T> inline std::ostream& operator<< (std::ostream& out, const tensor_basic<T>& a) { return a.put (out); } // t += a otimes b template<class T> void cumul_otimes (tensor_basic<T>& t, const point_basic<T>& a, const point_basic<T>& b, size_t na = 3); template<class T> void cumul_otimes (tensor_basic<T>& t, const point_basic<T>& a, const point_basic<T>& b, size_t na, size_t nb);
 
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