| Stan Math Library 2.11.0 reverse mode automatic differentiation

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multi_normal_cholesky_log.hpp File Reference
`#include <stan/math/prim/mat/fun/columns_dot_product.hpp>`
`#include <stan/math/prim/mat/fun/columns_dot_self.hpp>`
`#include <stan/math/prim/mat/fun/dot_product.hpp>`
`#include <stan/math/prim/mat/fun/dot_self.hpp>`
`#include <stan/math/prim/mat/fun/log.hpp>`
`#include <stan/math/prim/mat/fun/log_determinant.hpp>`
`#include <stan/math/prim/mat/fun/mdivide_left_spd.hpp>`
`#include <stan/math/prim/mat/fun/mdivide_left_tri_low.hpp>`
`#include <stan/math/prim/mat/fun/multiply.hpp>`
`#include <stan/math/prim/mat/fun/subtract.hpp>`
`#include <stan/math/prim/mat/fun/sum.hpp>`
`#include <stan/math/prim/mat/meta/VectorViewMvt.hpp>`
`#include <stan/math/prim/scal/err/check_size_match.hpp>`
`#include <stan/math/prim/scal/err/check_finite.hpp>`
`#include <stan/math/prim/scal/err/check_not_nan.hpp>`
`#include <stan/math/prim/scal/fun/constants.hpp>`
`#include <stan/math/prim/scal/meta/max_size_mvt.hpp>`
`#include <stan/math/prim/scal/meta/include_summand.hpp>`
`#include <boost/random/normal_distribution.hpp>`
`#include <boost/random/variate_generator.hpp>`

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## Namespaces
| stan
| stan::math
| Matrices and templated mathematical functions.

## Functions
template<bool propto, typename T_y , typename T_loc , typename T_covar >
return_type< T_y, T_loc, T_covar >::type | stan::math::multi_normal_cholesky_log (const T_y &y, const T_loc &mu, const T_covar &L)
| The log of the multivariate normal density for the given y, mu, and a Cholesky factor L of the variance matrix. More...
template<typename T_y , typename T_loc , typename T_covar >
return_type< T_y, T_loc, T_covar >::type | stan::math::multi_normal_cholesky_log (const T_y &y, const T_loc &mu, const T_covar &L)

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