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| template<typename C > |
| C | mptensor::random_tensor::uniform_dist () |
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| void | mptensor::random_tensor::set_seed (unsigned int seed) |
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| template<typename tensor_t > |
| void | mptensor::random_tensor::fill (tensor_t &t) |
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| template<template< typename > class Matrix, typename C > |
| int | mptensor::rsvd (const Tensor< Matrix, C > &a, const Axes &axes_row, const Axes &axes_col, Tensor< Matrix, C > &u, std::vector< double > &s, Tensor< Matrix, C > &vt, const size_t target_rank, const size_t oversamp) |
| | Singular value decomposition by randomized algorithm.
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| |
| template<template< typename > class Matrix, typename C > |
| int | mptensor::rsvd (const Tensor< Matrix, C > &a, const Axes &axes_row, const Axes &axes_col, Tensor< Matrix, C > &u, std::vector< double > &s, Tensor< Matrix, C > &vt, const size_t target_rank) |
| | RSVD with oversamp = target_rank.
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| template<template< typename > class Matrix, typename C , typename Func1 , typename Func2 > |
| int | mptensor::rsvd (Func1 &multiply_row, Func2 &multiply_col, const Shape &shape_row, const Shape &shape_col, Tensor< Matrix, C > &u, std::vector< double > &s, Tensor< Matrix, C > &vt, const size_t target_rank, const size_t oversamp) |
| | Singular value decomposition by randomized algorithm.
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| |
| template<template< typename > class Matrix, typename C , typename Func1 , typename Func2 > |
| int | mptensor::rsvd (Func1 &multiply_row, Func2 &multiply_col, const Shape &shape_row, const Shape &shape_col, Tensor< Matrix, C > &u, std::vector< double > &s, Tensor< Matrix, C > &vt, const size_t target_rank) |
| | RSVD with oversamp = target_rank.
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| void | mptensor::set_seed (unsigned int seed) |
| | Set seed for random number generator.
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