Automatic Differentiation
 
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◆ svd_U() [2/2]

template<typename EigMat , require_rev_matrix_t< EigMat > * = nullptr>
auto stan::math::svd_U ( const EigMat &  m)
inline

Given input matrix m, return matrix U where m = UDV^{T}

Adjoint update equation comes from Equation (4) in Differentiable Programming Tensor Networks(H. Liao, J. Liu, et al., arXiv:1903.09650).

Template Parameters
EigMattype of input matrix
Parameters
mMxN input matrix
Returns
Orthogonal matrix U

Definition at line 25 of file svd_U.hpp.