nmf_operations.hpp File Reference

#include "viennacl/linalg/host_based/nmf_operations.hpp"
#include "viennacl/linalg/cuda/common.hpp"

Go to the source code of this file.

Namespaces
	viennacl
	Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them.
	viennacl::linalg
	Provides all linear algebra operations which are not covered by operator overloads.
	viennacl::linalg::cuda
	Holds all CUDA compute kernels used by ViennaCL.

Functions
template<typename NumericT >
__global__ void	viennacl::linalg::cuda::el_wise_mul_div (NumericT *matrix1, NumericT const *matrix2, NumericT const *matrix3, unsigned int size)
	Main CUDA kernel for nonnegative matrix factorization of a dense matrices. More...
template<typename NumericT >
void	viennacl::linalg::cuda::nmf (viennacl::matrix_base< NumericT > const &V, viennacl::matrix_base< NumericT > &W, viennacl::matrix_base< NumericT > &H, viennacl::linalg::nmf_config const &conf)
	The nonnegative matrix factorization (approximation) algorithm as suggested by Lee and Seung. Factorizes a matrix V with nonnegative entries into matrices W and H such that ||V - W*H|| is minimized. More...