Uses of Class
de.torstennahm.integrate.Integrator

Packages that use Integrator

de.torstennahm.integrate	This package and its subpackages provide routines for multi-dimensional integration.
de.torstennahm.integrate.sparse	This package provides routines for multi-dimensional integration using the sparse grid algorithm and its adaptive version.

Uses of Integrator in de.torstennahm.integrate

Subclasses of Integrator in de.torstennahm.integrate

class	MCIntegrator Performs Monte-Carlo integration, using the java.util.random to generate the points.
class	ProductIntegrator This type of integrator performs integration by scaling up a set of one-dimensional nodes and weights using the tensor product approach.
class	QMCIntegrator Performs a Quasi Monte-Carlo integration.

Uses of Integrator in de.torstennahm.integrate.sparse

Subclasses of Integrator in de.torstennahm.integrate.sparse

class	DefaultSparseIntegrator A convenience class that uses generally acceptable defaults for integration.
class	EstimateIntegrator Sparse grid integrator that uses a hybrid of non-adaptive simplicial strategy and adaptive estimation of the index contributions.
class	EvaluateIntegrator Sparse grid integrator that uses a hybrid of non-adaptive simplicial and adaptive greedy strategies.
class	SimplexIntegrator Performs integration using the simplicial (non-adaptive) sparse grid algorithm.
class	WeightedIntegrator Adaptive sparse grid integrator that uses a weighted balance of index contributions and work in expanding the index set.