All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Groups Pages
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:

roboptim | Meta-functions, functions and solvers related classes
detail |
ltvector |
add_shared_ptr | Transform a types list into a types list of shared pointers
printConstraint |
fg |
finiteDifferenceGradientPolicies | Contains finite difference gradients policies
Simple | Fast finite difference gradient computation
FivePointsRule | Precise finite difference gradient computation
visualization | Graphic visualization
gnuplot | Gnuplot rendering
Command | Gnuplot command
Gnuplot | Gnuplot script
ConstantFunction | Constant function
DerivableParametrizedFunction | Parametrized function with parameter derivative available
derivativeSize< Function > |
derivativeSize< DifferentiableFunction > |
derivativeSize< TwiceDifferentiableFunction > |
derivativeSize< NTimesDerivableFunction< N > > |
GenericDifferentiableFunction | Define an abstract derivable function ( )
CachedFunction | Store previous function computation
Split |
BadGradient | Exception thrown when a gradient check fail
GenericFiniteDifferenceGradient | Compute automatically a gradient with finite differences
GenericFunctionTraits | GenericFunction traits
GenericFunction | Define an abstract mathematical function ( )
GenericFunctionTraits< EigenMatrixDense > | Trait specializing GenericFunction for Eigen dense matrices
GenericFunctionTraits< EigenMatrixSparse > | Trait specializing GenericFunction for Eigen sparse matrices
NoSolution | Tag a result if no solution has been found
EigenMatrixDense | Tag type for functions using Eigen dense matrices
EigenMatrixSparse | Tag type for functions using Eigen sparse matrices
GenericNumericLinearFunction | Build a linear function from a vector and a matrix
GenericTwiceDifferentiableFunction | Define an abstract function which is derivable twice ( )
GenericLinearFunction | Define an abstract linear function
GenericQuadraticFunction | Define an abstract quadratic function
Problem |
Solver | Solver for a specific problem class
SolverFactory | Define a solver factory that instanciate the plug-ins
NTimesDerivableFunction | Define a function, derivable n times ( )
derivativeSize |
GenericSolver | Abstract interface satisfied by all solvers
IdentityFunction | Identity function
NTimesDerivableFunction< 2 > | Explicit specialization for the stop case of NTimesDerivable class
NumericQuadraticFunction | Build a quadratic function from a matrix and a vector
ParametrizedFunction | Define an abstract parametrized mathematical function ( )
DummySolverLastState | Dummy solver which always fails, but returns the last state of the solver
DummySolver | Dummy solver which always fails
Problem< F, boost::mpl::vector<> > |
ResultWithWarnings | Represents the solution of an optimization problem when errors occurred during the solving process
Result | Represents the solution of an optimization problem
SolverError | Base exception class for solving errors
SolverWarning | Exception used for non-critical errors during optimization
Parameter | Parameters type
SumOfC1Squares | Sum of the squares of differentiable functions