tensor_impl.hpp File Reference

Implementation of tensor class. More...

#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <fstream>
#include <iostream>
#include <type_traits>
#include <vector>
#include "mptensor/complex.hpp"
#include "mptensor/index.hpp"
#include "mptensor/matrix/matrix.hpp"
#include "mptensor/tensor.hpp"

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Namespaces
namespace	mptensor
namespace	mptensor::debug
	Namespace for debugging.

Functions
bool	mptensor::is_no_transpose (const Axes &axes, const Axes &axes_map, size_t rank)
bool	mptensor::debug::check_total_size (const Shape &s1, const Shape &s2)
bool	mptensor::debug::check_extend (const Shape &s_old, const Shape &s_new)
bool	mptensor::debug::check_transpose_axes (const Axes &axes, size_t rank)
bool	mptensor::debug::check_svd_axes (const Axes &axes_row, const Axes &axes_col, size_t rank)
bool	mptensor::debug::check_trace_axes (const Axes &axes_1, const Axes &axes_2, size_t rank)
bool	mptensor::debug::check_trace_axes (const Axes &axes_a, const Axes &axes_b, const Shape &shape_a, const Shape &shape_b)
bool	mptensor::debug::check_contract_axes (const Axes &axes_1, const Axes &axes_2, size_t rank)
bool	mptensor::debug::check_square (const Shape &shape, size_t urank)
template<typename MatrixType >
Tensor< MatrixType >	mptensor::transpose (Tensor< MatrixType > T, const Axes &axes)
	Transposition of tensor with lazy evaluation.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::transpose (const Tensor< MatrixType > &T, const Axes &axes, size_t urank_new)
	Transposition of tensor without lazy evaluation.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::reshape (const Tensor< MatrixType > &T, const Shape &shape_new)
	Change the shape of tensor.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::slice (const Tensor< MatrixType > &T, size_t n_axes, size_t i_begin, size_t i_end)
	Slice a tensor.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::slice (const Tensor< MatrixType > &T, const Index &index_begin, const Index &index_end)
	Slice a tensor.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::extend (const Tensor< MatrixType > &T, const Shape &shape_new)
	Extend the size of a tensor.
template<typename MatrixType >
MatrixType::value_type	mptensor::trace (const Tensor< MatrixType > &M)
	Trace of matrix (rank-2 tensor)
template<typename MatrixType >
MatrixType::value_type	mptensor::trace (const Tensor< MatrixType > &T, const Axes &axes_1, const Axes &axes_2)
	Full trace of tensor.
template<typename MatrixType >
MatrixType::value_type	mptensor::trace (const Tensor< MatrixType > &A, const Tensor< MatrixType > &B, const Axes &axes_a, const Axes &axes_b)
	Full contraction of two tensors.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::contract (const Tensor< MatrixType > &T, const Axes &axes_1, const Axes &axes_2)
	Partial trace of tensor.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::kron (const Tensor< MatrixType > &a, const Tensor< MatrixType > &b)
	Compute the Kronecker product.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::tensordot (const Tensor< MatrixType > &a, const Tensor< MatrixType > &b, const Axes &axes_a, const Axes &axes_b)
	Compute tensor dot product.
template<typename MatrixType >
int	mptensor::svd (const Tensor< MatrixType > &a, std::vector< double > &s)
	Singular value decomposition for rank-2 tensor (matrix)
template<typename MatrixType >
int	mptensor::svd (const Tensor< MatrixType > &a, Tensor< MatrixType > &u, std::vector< double > &s, Tensor< MatrixType > &vt)
	Singular value decomposition for rank-2 tensor (matrix)
template<typename MatrixType >
int	mptensor::svd (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< double > &s)
	Singular value decomposition for tensor.
template<typename MatrixType >
int	mptensor::svd (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, Tensor< MatrixType > &u, std::vector< double > &s, Tensor< MatrixType > &vt)
	Singular value decomposition for tensor.
template<typename MatrixType >
int	mptensor::psvd (const Tensor< MatrixType > &a, std::vector< double > &s, const size_t target_rank)
	Partial SVD for rank-2 tensor (matrix)
template<typename MatrixType >
int	mptensor::psvd (const Tensor< MatrixType > &a, Tensor< MatrixType > &u, std::vector< double > &s, Tensor< MatrixType > &vt, const size_t target_rank)
	Partial SVD for rank-2 tensor (matrix)
template<typename MatrixType >
int	mptensor::psvd (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< double > &s, const size_t target_rank)
	Partial SVD for tensor.
template<typename MatrixType >
int	mptensor::psvd (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, Tensor< MatrixType > &u, std::vector< double > &s, Tensor< MatrixType > &vt, const size_t target_rank)
	Partial SVD for tensor.
template<typename MatrixType >
int	mptensor::qr (const Tensor< MatrixType > &a, Tensor< MatrixType > &q, Tensor< MatrixType > &r)
	QR decomposition of matrix (rank-2 tensor)
template<typename MatrixType >
int	mptensor::qr (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, Tensor< MatrixType > &q, Tensor< MatrixType > &r)
	QR decomposition of tensor.
template<typename MatrixType >
int	mptensor::eigh (const Tensor< MatrixType > &a, std::vector< double > &eigval, Tensor< MatrixType > &eigvec)
template<typename MatrixType >
int	mptensor::eigh (const Tensor< MatrixType > &a, std::vector< double > &eigval)
template<typename MatrixType >
int	mptensor::eigh (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< double > &eigval, Tensor< MatrixType > &eigvec)
template<typename MatrixType >
int	mptensor::eigh (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< double > &w)
	Compute the eigenvalues of a complex Hermitian or real symmetric tensor.
template<typename MatrixType >
int	mptensor::eigh (const Tensor< MatrixType > &a, const Axes &axes_row_a, const Axes &axes_col_a, const Tensor< MatrixType > &b, const Axes &axes_row_b, const Axes &axes_col_b, std::vector< double > &eigval, Tensor< MatrixType > &eigvec)
template<typename MatrixType >
int	mptensor::eig (const Tensor< MatrixType > &a, std::vector< complex > &w, typename Tensor< MatrixType >::template rebind< complex > &z)
	Compute the eigenvalues and eigenvectors of a general matrix (rank-2 tensor)
template<typename MatrixType >
int	mptensor::eig (const Tensor< MatrixType > &a, std::vector< complex > &w)
	Compute only the eigenvalues of a general matrix (rank-2 tensor)
template<typename MatrixType >
int	mptensor::eig (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< complex > &w, typename Tensor< MatrixType >::template rebind< complex > &z)
	Compute the eigenvalues and eigenvectors of a general tensor.
template<typename MatrixType >
int	mptensor::eig (const Tensor< MatrixType > &a, const Axes &axes_row, const Axes &axes_col, std::vector< complex > &w)
	Compute the eigenvalues of a general tensor.
template<typename MatrixType >
int	mptensor::solve (const Tensor< MatrixType > &a, const std::vector< typename MatrixType::value_type > &b, std::vector< typename MatrixType::value_type > &x)
	Solve linear equation \( A\vec{x}=\vec{b}\).
template<typename MatrixType >
int	mptensor::solve (const Tensor< MatrixType > &a, const Tensor< MatrixType > &b, Tensor< MatrixType > &x)
	Solve linear equation \( AX=B\).
template<typename MatrixType >
int	mptensor::solve (const Tensor< MatrixType > &a, const Tensor< MatrixType > &b, Tensor< MatrixType > &x, const Axes &axes_row_a, const Axes &axes_col_a, const Axes &axes_row_b, const Axes &axes_col_b)
	Solve linear equation \( AX=B\).
template<typename MatrixType >
Tensor< MatrixType >	mptensor::operator+ (Tensor< MatrixType > rhs)
	Unary plus.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::operator- (Tensor< MatrixType > rhs)
	Unary minus.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::operator+ (Tensor< MatrixType > lhs, const Tensor< MatrixType > &rhs)
	Addition.
template<typename MatrixType >
Tensor< MatrixType >	mptensor::operator- (Tensor< MatrixType > lhs, const Tensor< MatrixType > &rhs)
	Subtraction.
template<typename MatrixType , typename D >
Tensor< MatrixType >	mptensor::operator* (Tensor< MatrixType > lhs, D rhs)
	Tensor-scalar multiplication.
template<typename MatrixType , typename D >
Tensor< MatrixType >	mptensor::operator/ (Tensor< MatrixType > lhs, D rhs)
	Scalar division.
template<typename MatrixType , typename D >
Tensor< MatrixType >	mptensor::operator* (D lhs, Tensor< MatrixType > rhs)
	Scalar-tensor multiplication.
template<typename MatrixType >
double	mptensor::max (const Tensor< MatrixType > &t)
	Return the maximum element. For complex, same as max_abs().
template<typename MatrixType >
double	mptensor::min (const Tensor< MatrixType > &t)
	Return the minimum element. For complex, same as min_abs().
template<typename MatrixType >
double	mptensor::max_abs (const Tensor< MatrixType > &t)
	Return maximum of the absolute value of an element.
template<typename MatrixType >
double	mptensor::min_abs (const Tensor< MatrixType > &t)
	Return minimum of the absolute value of an element.
template<typename MatrixType >
std::ostream &	mptensor::operator<< (std::ostream &out, const Tensor< MatrixType > &t)
	Output elements of tensor in numpy style.

Detailed Description

Implementation of tensor class.

Author

Satoshi Morita morit.nosp@m.a@is.nosp@m.sp.u-.nosp@m.toky.nosp@m.o.ac..nosp@m.jp

Date

Jan 14 2015