DART
6.7.3
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Namespaces | |
snopt | |
Classes | |
class | Function |
class | ModularFunction |
ModularFunction uses C++11 std::function to allow you to easily swap out the cost function, gradient function, and Hessian function during runtime for an optimizer::Function instance. More... | |
class | NullFunction |
NullFunction is a constant-zero Function. More... | |
class | MultiFunction |
class MultiFunction More... | |
class | GenericMultiObjectiveProblem |
class | GradientDescentSolver |
DefaultSolver is a Solver extension which is native to DART (rather than relying on third-party libraries). More... | |
class | IpoptSolver |
class IpoptSolver More... | |
class | DartTNLP |
class DartTNLP More... | |
class | MultiObjectiveProblem |
class | MultiObjectiveSolver |
Abstract class that provides a common interface for different multi-objective optimization solvers. More... | |
class | NloptSolver |
class NloptSolver More... | |
class | PagmoMultiObjectiveProblemAdaptor |
Adaptor class for the user defined problem (UDP) that is used by Pagmo2. More... | |
class | PagmoMultiObjectiveSolver |
class | PagmoTypes |
class | Population |
class | Problem |
class Problem More... | |
class | Solver |
Abstract class that provides a common interface for different Solvers. More... | |
Typedefs | |
typedef std::shared_ptr< Function > | FunctionPtr |
typedef std::unique_ptr< Function > | UniqueFunctionPtr |
typedef std::function< double(const Eigen::VectorXd &)> | CostFunction |
typedef std::function< void(const Eigen::VectorXd &, Eigen::Map< Eigen::VectorXd >)> | GradientFunction |
typedef std::function< void(const Eigen::VectorXd &, Eigen::Map< Eigen::VectorXd, Eigen::RowMajor >)> | HessianFunction |
Functions | |
template<typename T > | |
static T | getVectorObjectIfAvailable (std::size_t idx, const std::vector< T > &vec) |
static Eigen::VectorXd | computeFunctions (const std::vector< FunctionPtr > &functions, std::size_t dimension, const Eigen::VectorXd &x) |
template<typename T > | |
static T | getVectorObjectIfAvailable (std::size_t idx, const std::vector< T > &vec) |
static std::vector< double > | convertToStd (const Eigen::VectorXd &v) |
static Eigen::VectorXd | convertToEigen (const std::vector< double > &_v) |
static pagmo::algorithm | createNloptCobyla (const PagmoMultiObjectiveSolver::Properties &properties) |
static pagmo::algorithm | createMoead (const PagmoMultiObjectiveSolver::Properties &properties) |
static pagmo::algorithm | createNsga2 (const PagmoMultiObjectiveSolver::Properties &properties) |
static pagmo::algorithm | createPagmoAlgorithm (const PagmoMultiObjectiveSolver::Properties &properties) |
template<typename T > | |
static T | getVectorObjectIfAvailable (std::size_t _idx, const std::vector< T > &_vec) |
typedef std::function<double(const Eigen::VectorXd&)> dart::optimizer::CostFunction |
typedef std::shared_ptr<Function> dart::optimizer::FunctionPtr |
typedef std::function<void(const Eigen::VectorXd&, Eigen::Map<Eigen::VectorXd>)> dart::optimizer::GradientFunction |
typedef std::function<void( const Eigen::VectorXd&, Eigen::Map<Eigen::VectorXd, Eigen::RowMajor>)> dart::optimizer::HessianFunction |
typedef std::unique_ptr<Function> dart::optimizer::UniqueFunctionPtr |
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