#include <GaussianProposal.hpp>
◆ StateType
template<typename MatrixType , typename VectorType >
◆ GaussianProposal()
template<typename MatrixType , typename VectorType >
Constructs classical Gaussian random walk m_proposal mechanism on polytope defined as Ax<b.
- Parameters
-
A | |
b | |
currentState | |
stepSize | The standard deviation of the isotropic Gaussian m_proposal distribution |
◆ acceptProposal()
template<typename MatrixType , typename VectorType >
◆ computeLogAcceptanceProbability()
template<typename MatrixType , typename VectorType >
◆ getName()
template<typename MatrixType , typename VectorType >
◆ getProposal()
template<typename MatrixType , typename VectorType >
◆ getState()
template<typename MatrixType , typename VectorType >
◆ getStepSize()
template<typename MatrixType , typename VectorType >
◆ propose()
template<typename MatrixType , typename VectorType >
◆ setState()
template<typename MatrixType , typename VectorType >
◆ setStepSize()
template<typename MatrixType , typename VectorType >
The documentation for this class was generated from the following file: