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Stan
2.5.0
probability, sampling & optimization
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#include <vector>#include <stan/math/matrix/Eigen.hpp>#include <stan/math/matrix/typedefs.hpp>#include <stan/agrad/rev/var.hpp>#include <stan/agrad/rev/operators/operator_division.hpp>#include <stan/agrad/rev/matrix/to_var.hpp>#include <stan/agrad/rev/matrix/typedefs.hpp>Go to the source code of this file.
Namespaces | |
| stan | |
| Probability, optimization and sampling library. | |
| stan::agrad | |
| Function gradients via reverse-mode automatic differentiation. | |
Functions | |
| double | stan::agrad::divide (double x, double y) |
| Return the division of the first scalar by the second scalar. More... | |
| template<typename T1 , typename T2 > | |
| var | stan::agrad::divide (const T1 &v, const T2 &c) |
| template<typename T1 , typename T2 , int R, int C> | |
| Eigen::Matrix< var, R, C > | stan::agrad::divide (const Eigen::Matrix< T1, R, C > &v, const T2 &c) |
| Return the division of the specified column vector by the specified scalar. More... | |