ViennaCL - The Vienna Computing Library  1.7.1
Free open-source GPU-accelerated linear algebra and solver library.
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nmf_operations.hpp File Reference

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Classes

class  viennacl::linalg::nmf_config
 Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here. More...
 

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::host_based
 Holds all compute kernels with conventional host-based execution (buffers in CPU RAM).
 

Functions

template<typename NumericT >
void viennacl::linalg::host_based::el_wise_mul_div (NumericT *matrix1, NumericT const *matrix2, NumericT const *matrix3, vcl_size_t size)
 Missing OpenMP kernel for nonnegative matrix factorization of a dense matrices. More...
 
template<typename NumericT >
void viennacl::linalg::host_based::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...