Algorithms

Modules
	Abstract Algorithmic Objects

Classes
class	Kaskade::AdaptiveParameters
	Parameters that are used by SimpleAdaptiveRefinement. More...
class	Kaskade::SimpleAdaptiveRefinement
	Adaptive refinement algorithm. More...
class	Kaskade::FinalAdaptiveRefinement
	Performs error estimation and creates error indicators, but does not refine. Good for testing error estimators. More...
class	Kaskade::FixedSolverWithErrorEstimate
	Performs error estimation and creates error indicators, but does not refine. Good for testing error estimators. More...
class	Kaskade::TestErrorEstimator
class	Kaskade::NewtonParameters
class	Kaskade::IdentityChart
class	Kaskade::NewtonsMethod
	Base class for Newton's method. Defines the main algorithm, potentially using damping. More...
class	Kaskade::Giant< Grid, Equation, VariableSet, Spaces >
	Solution of a nonlinear system of equations by a damped Newton-method with adaptive precision control of the used iterative linear solver Gbit. More...
class	Kaskade::NleqSolver< Grid, Equation, VariableSet, Spaces >
	Solution of a nonlinear system of equations by a damped Newton-method. More...

Detailed Description