Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

Nroboptim	Defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
Ncallback
CMultiplexer	Callback multiplexer
Ndetail
Cadd_shared_ptr	Transform a types list into a types list of shared pointers
CAutopromoteTrait
CAutopromoteTrait< Minus< U, V > >
CAutopromoteTrait< Plus< U, V > >
CAutopromoteTrait< Product< U, V > >
CAutopromoteTrait< Scalar< U > >
CBlockProvider	Gives access to a std::vector of std::pair<size_t, size_t> representing blocks of input Those blocks are needed even if the function is not differentiable, making it easier for us to define it in a exterior class to then use it transparently
CCachedFunctionTypes
Ccast_constraint_type	Get the constraint type of CLIST that best match C
Ccheck_constraint_type	Checks whether C is a valid constraint type in CLIST
CConcatenateTypes
Cconst_eigen_ref	Return the type of a const reference to an Eigen matrix, using Eigen's Ref
Cconst_ref	Return the proper const reference type of a given type
CConstraintName
Ccontains_base_of	Whether a sequence of types contains a base of a given type
CConvertConstraint	Convert a constraint to a proper type
CConvertConstraintVariant	Convert a constraint from a Boost.Variant to an adequate constraint type depending on the problem's constraints type
Cderives_from_differentiable_function	Checks whether the function type derives from DifferentiableFunction or DifferentiableSparseFunction
Cderives_from_function	Checks whether the function types derives from Function or SparseFunction
Cderives_from_ntimes_derivable_function	Checks whether the function type derives from NTimesDerivableFunction
Cderives_from_twice_differentiable_function	Checks whether the function type derives from TwiceDifferentiableFunction or TwiceDifferentiableSparseFunction
CEvaluateConstraint
CEvaluateConstraintViolation
Cget_descendant	Get the descendant among two relatives
Cis_compatible_list	Check that CLIST_ is a subset of CLIST (i.e
Cis_eigen_type	Check whether the type provided is an Eigen type
Clist_converter	Converts CLIST to a boost::mpl::vector to ensure a similar behavior for codes using different random access sequences (vector, list, etc.)
Clist_derives_from_function	Checks whether all the constraints derive from Function or SparseFunction
CLogJacobianConstraint
CPrecisionTrait
CprintConstraint
CPrintSolverParameter
CProductDifferentiation	Utility structure used for product differentiation
CTypes	Some useful types for product differentiation
Cpromote2
Cpromote2< T1, T2, 0 >
CPromoteTrait
Crow_vector_stride	Get the matrix stride type for a row vector, given a matrix storage order
Cshared_ptr_variant	Generate a Boost.Variant of shared pointers from the static constraints types list
CStateParameterPrintVisitor	Visitor used to print state parameters (variant)
CStructuredInput	Provides utility methods to describe the input format of a function
CStructuredInputJacobianInternal	This class gives access to the getJacobianBlock() method, whose implementation is to be specialized according to the type of matrix handled by the function
CStructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixDense >	DenseMatrix specialization of the getJacobianBlock() method provider
CStructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixSparse >	SparseMatrix specialization of the getJacobianBlock() method provider
NfiniteDifferenceGradientPolicies	Contains finite difference gradients policies
CPolicy	Interface for the finite difference gradient policies
CSimple	Fast finite difference gradient computation
CFivePointsRule	Precise finite difference gradient computation
Nvisualization	Graphical visualization
Ngnuplot	Gnuplot rendering
CCommand	Gnuplot command
Nmatplotlib	Matplotlib rendering
CCommand	Import function that follows the style of commands
CImport	Matplotlib import
CMatrixPlotType	Wrap enum for matrix plotting type
CGnuplot	Gnuplot script
CMatplotlib	Matplotlib script
CBadGradient	Exception thrown when a gradient check fails
CBadJacobian	Exception thrown when a Jacobian check fails
CBind	Bind some function input to a constant value
CCachedFunction	Store previous function computation
CChain	Chain two RobOptim functions
CConcatenate	Concatenate the output of two functions
CCos	Cos function
CDerivableParametrizedFunction	Parametrized function with parameter derivative available
CDerivative	Return the derivative of a function w.r.t
CderivativeSize
CderivativeSize< GenericDifferentiableFunction< T > >
CderivativeSize< GenericFunction< T > >
CderivativeSize< GenericTwiceDifferentiableFunction< T > >
CderivativeSize< NTimesDerivableFunction< N > >
CDummySolver	Dummy solver which always fails
CDummySolverTd	Dummy solver which always fails
CEigenMatrixDense	Tag type for functions using Eigen dense matrices
CEigenMatrixSparse	Tag type for functions using Eigen sparse matrices
CFunctionPool	A pool of functions that will be processed together
CGenericConstantFunction	Constant function
CGenericDifferentiableFunction	Define an abstract derivable function ( )
CGenericDummySolverLastState	Dummy solver which always fails, but returns the last state of the solver
CGenericFiniteDifferenceGradient	Compute automatically a gradient with finite differences
CGenericFunction	Define an abstract mathematical function ( )
CGenericFunctionTraits	GenericFunction traits
CGenericFunctionTraits< EigenMatrixDense >	Trait specializing GenericFunction for Eigen dense matrices
CGenericFunctionTraits< EigenMatrixSparse >	Trait specializing GenericFunction for Eigen sparse matrices
CGenericIdentityFunction	Identity function
CGenericLinearFunction	Define an abstract linear function
CGenericNumericLinearFunction	Build a linear function from a vector and a matrix
CGenericNumericQuadraticFunction	Build a quadratic function from a matrix and a vector
CGenericQuadraticFunction	Define an abstract quadratic function
CGenericSolver	Abstract interface satisfied by all solvers
CGenericSumOfC1Squares	Generic sum of the squares of differentiable functions
CGenericTwiceDifferentiableFunction	Define an abstract function which is twice-derivable ( )
CHasher	Hash generator for argument vector
CLRUCache	LRU (Least Recently Used) cache
CMap	Apply a function several times to an input vector
CMinus	Subtract two RobOptim functions
CNoSolution	Tag a result if no solution has been found
CNTimesDerivableFunction	Define a function, derivable n times ( )
COptimizationLogger	Log the optimization process (values, Jacobians, time taken etc.)
CParameter	Solver parameter type
CParametrizedFunction	Define an abstract parametrized mathematical function ( )
CPlus	Sum two RobOptim functions
CPolynomial	Polynomial function
CProblem
CProblem< F, boost::mpl::vector<> >
CProduct	Product of two RobOptim functions
CResult	Represents the solution of an optimization problem
CResultWithWarnings	Represents the solution of an optimization problem when errors occurred during the solving process
CScalar	Multiply by a constant scalar value
CSelection	Select a block of a function's output
CSelectionById	Select part of a function
CSin	Sin function
CSolver	Solver for a specific problem class
CSolverError	Base exception class for solving errors
CSolverFactory	Define a solver factory that instanciate the plug-ins
CSolverState	State of the solver
CSolverWarning	Exception used for non-critical errors during optimization
CSplit	Select an element of a function's output
CStateParameter	Solver state parameters type