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Stan
1.3
probability, sampling & optimization
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#include <vector>#include <boost/math/tools/promotion.hpp>#include <stan/math/matrix/Eigen.hpp>#include <stan/math/matrix/typedefs.hpp>#include <stan/agrad/rev/var.hpp>#include <stan/agrad/rev/matrix/typedefs.hpp>#include <stan/agrad/rev/matrix/dot_product.hpp>#include <stan/agrad/rev/matrix/dot_self.hpp>Go to the source code of this file.
Namespaces | |
| namespace | stan |
| Probability, optimization and sampling library. | |
| namespace | stan::agrad |
| Function gradients via reverse-mode automatic differentiation. | |
Functions | |
| void | stan::agrad::assign_to_var (stan::agrad::var &var, const double &val) |
| void | stan::agrad::assign_to_var (stan::agrad::var &var, const stan::agrad::var &val) |
| void | stan::agrad::assign_to_var (int &n_lhs, const int &n_rhs) |
| void | stan::agrad::assign_to_var (double &n_lhs, const double &n_rhs) |
| template<typename LHS , typename RHS > | |
| void | stan::agrad::assign_to_var (std::vector< LHS > &x, const std::vector< RHS > &y) |
| template<typename LHS , typename RHS , int R, int C> | |
| void | stan::agrad::assign_to_var (Eigen::Matrix< LHS, R, C > &x, const Eigen::Matrix< RHS, R, C > &y) |
| template<typename LHS , typename RHS , int R, int C> | |
| void | stan::agrad::assign_to_var (Eigen::Block< LHS > &x, const Eigen::Matrix< RHS, R, C > &y) |