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

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Functions

endcode *Final
viennacl::matrix_range
< VCLMatrixType > 
vcl_R (vcl_A, vcl_range, vcl_range)
 

Variables

std::cout<< "--- ViennaCL
(hybrid implementation) ---"
<< std::endl;std::vector
< ScalarType
hybrid_betas = viennacl::linalg::inplace_qr(vcl_A)
 
endcode *compute modified RHS
of the minimization 
problem
 
endcode *compute modified RHS
of the minimization 
vcl_b
 
endcode *Final step
 
viennacl::vector_range
< VCLVectorType > 
vcl_b2 (vcl_b, vcl_range)
 

Function Documentation

endcode* Final viennacl::matrix_range<VCLMatrixType> vcl_R ( vcl_A  ,
vcl_range  ,
vcl_range   
)
Examples:
least-squares.cpp.

Variable Documentation

endcode *compute modified RHS of the minimization hybrid_betas = viennacl::linalg::inplace_qr(vcl_A)
Examples:
least-squares.cpp, and qr.cpp.

Definition at line 134 of file least-squares.cpp.

endcode* compute modified RHS of the minimization problem

Definition at line 139 of file least-squares.cpp.

endcode* Final step

Definition at line 145 of file least-squares.cpp.

endcode* compute modified RHS of the minimization vcl_b
Examples:
least-squares.cpp.

Definition at line 139 of file least-squares.cpp.

viennacl::vector_range<VCLVectorType> vcl_b2(vcl_b, vcl_range)
Examples:
least-squares.cpp.