Class tensor (o2scl)

O2scl : Class List

template<class data_t = double, class vec_t = std::vector<data_t>, class vec_size_t = std::vector<size_t>>
class tensor : public o2scl::tensor_base<double, std::vector<double>, std::vector<size_t>>

Tensor class with arbitrary dimensions (floating-point extension)

Subclassed by o2scl::tensor_grid< std::vector< double >, std::vector< size_t > >, o2scl::tensor1< data_t, vec_t, vec_size_t >, o2scl::tensor2< data_t, vec_t, vec_size_t >, o2scl::tensor3< data_t, vec_t, vec_size_t >, o2scl::tensor4< data_t, vec_t, vec_size_t >, o2scl::tensor_grid< vec_t, vec_size_t >

Slicing and converting to table3d objects

inline void copy_table3d_sum(size_t ix_x, size_t ix_y, table3d &tab, std::string x_name = "x", std::string y_name = "y", std::string slice_name = "z")

Copy to a o2scl::table3d object by summing over all but two indices.

template<class size_vec2_t>
inline void copy_table3d(size_t ix_x, size_t ix_y, size_vec2_t &index, table3d &tab, std::string x_name = "x", std::string y_name = "y", std::string slice_name = "z") const

Copy to a table3d object by fixing two indices.

Warning

The vector input index must be initialized before calling this function so that all elements in the vector (except for those at index ix_x and ix_y) are specified. If this is not the case, then this function will return unpredictable results.

inline void copy_table3d(size_t ix_x, size_t ix_y, table3d &tab, std::string x_name = "x", std::string y_name = "y", std::string slice_name = "z") const

Copy to a table3d object by fixing two indices.

In this function, all other indices are set to 0. The indices ix_x and ix_y may be the same, in which case this function effectively performs a trace over those two indices.

Public Types

typedef tensor_base<data_t, vec_t, vec_size_t> parent_t

Public Functions

inline tensor()

Create an empty tensor with zero rank.

template<class size_vec_t>
inline tensor(size_t rank, const size_vec_t &dim)

Create a tensor of rank rank with sizes given in dim.

The parameter dim must be a pointer to a vector of sizes with length rank. If the user requests any of the sizes to be zero, this constructor will call the error handler, create an empty tensor, and will allocate no memory.

inline virtual ~tensor()

inline double total_sum() const

Return the sum over every element in the tensor.