bnmf_algs Namespace Reference

Main namespace for bnmf-algs library. More...

Namespaces
	alloc_model
	Namespace that contains functions related to Allocation Model [5].
	bld
	Namespace that contains solver and auxiliary functions for Best Latent Decomposition (BLD) problem.
	cuda
	cuda namespace contains functions that operate on nvidia GPUs using CUDA routines.
	details
	Namespace that contains types and functions for internal computations.
	nmf
	Namespace that contains solver and auxiliary functions for computing Nonnegative Matrix Factorization (NMF) of a matrix..
	util
	Namespace for general purpose utility functions to be used by all bnmf_algs functions.

Typedefs
template<typename Scalar >
using	vector_t = Eigen::Matrix< Scalar, 1, Eigen::Dynamic, Eigen::RowMajor >
	Vector type used in the computations. More...
using	vectord = vector_t< double >
	Vector type specialization using double as Scalar value. More...
template<typename Scalar >
using	matrix_t = Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor >
	Matrix type used in the computations. More...
using	matrixd = matrix_t< double >
	Matrix type specialization using double as Scalar value. More...
template<typename Scalar , size_t N>
using	tensor_t = Eigen::Tensor< Scalar, N, Eigen::RowMajor >
	Tensor type used in the computations. More...
template<size_t N>
using	tensord = tensor_t< double, N >
	Tensor type specialization using double as Scalar value. More...
template<size_t N>
using	shape = Eigen::array< size_t, N >
	Shape of vectors, matrices, tensors, etc. More...

Detailed Description

Main namespace for bnmf-algs library.

Typedef Documentation

template<typename Scalar >

using bnmf_algs::matrix_t = typedef Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>

Matrix type used in the computations.

Todo:

Templatize the matrix elements (int, double, float, etc.)

using bnmf_algs::matrixd = typedef matrix_t<double>

Matrix type specialization using double as Scalar value.

template<size_t N>

using bnmf_algs::shape = typedef Eigen::array<size_t, N>

Shape of vectors, matrices, tensors, etc.

Template Parameters

N	Number of dimensions.

Remarks

Number of dimensions must be known at compile-time.

template<typename Scalar , size_t N>

using bnmf_algs::tensor_t = typedef Eigen::Tensor<Scalar, N, Eigen::RowMajor>

Tensor type used in the computations.

template<size_t N>

using bnmf_algs::tensord = typedef tensor_t<double, N>

Tensor type specialization using double as Scalar value.

template<typename Scalar >

using bnmf_algs::vector_t = typedef Eigen::Matrix<Scalar, 1, Eigen::Dynamic, Eigen::RowMajor>

Vector type used in the computations.

using bnmf_algs::vectord = typedef vector_t<double>

Vector type specialization using double as Scalar value.