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See:
Description
| Class Summary | |
|---|---|
| CouldNotEvaluateInfo | Signifies that an integration index could not be evaluated during the integration process. |
| DefaultSparseIntegrator | A convenience class that uses generally acceptable defaults for integration. |
| EstimateIntegrator | Sparse grid integrator that uses a hybrid of non-adaptive simplicial strategy and adaptive estimation of the index contributions. |
| EstimateIntegrator.EstimateData | |
| EvaluateIntegrator | Sparse grid integrator that uses a hybrid of non-adaptive simplicial and adaptive greedy strategies. |
| EvaluateIntegrator.EvalData | |
| ProductWeightIntegrator | Integrates a function by using product weights generated from a one-dimensional quadrature formula generator, with a depth specified seperately for each dimension. |
| SimplexIntegrator | Performs integration using the simplicial (non-adaptive) sparse grid algorithm. |
| WeightedIntegrator | Adaptive sparse grid integrator that uses a weighted balance of index contributions and work in expanding the index set. |
This package provides routines for multi-dimensional integration using the sparse grid algorithm and its adaptive version.
The class SimplexIntegrator is the integrator class for standard sparse grid integration. The class DefaultSparseIntegrator is an integrator class for adaptive sparse grid integration. Several other classes also implement adaptive sparse integrators, using different strategies for index refinement and error estimation. They also provide more flexibility with regards to function domains.
The subpackages provide definitions and implementations of different modules used in the adaptive sparse grid integration. See the documentation of AdaptiveSparseIntegrator for details.
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