Stan Math Library
4.9.0
Automatic Differentiation
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Return true
if y is a valid Cholesky factor, if number of rows is not less than the number of columns, if there are no 0 columns, and no element in matrix is NaN
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A Cholesky factor is a lower triangular matrix whose diagonal elements are all positive. Note that Cholesky factors need not be square, but require at least as many rows M as columns N (i.e., M >= N).
EigMat | A type derived from EigenBase with dynamic rows and columns |
y | Matrix to test |
true
if y is a valid Cholesky factor, if number of rows is not less than the number of columns, if there are no 0 columns, and no element in matrix is NaN
Definition at line 29 of file is_cholesky_factor.hpp.