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Doxygen
1.9.1
Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN: Tasmanian v8.2 (development)
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Doxygen
1.9.1
Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN: Tasmanian v8.2 (development)
|
A class to cache one dimensional rules, nodes, weight, meta-data, etc. More...
#include <tsgOneDimensionalWrapper.hpp>
Public Member Functions | |
| OneDimensionalWrapper () | |
| Default constructor, create an emptry cache. | |
| ~OneDimensionalWrapper ()=default | |
| Default destructor. | |
| OneDimensionalWrapper (const CustomTabulated &custom, int max_level, TypeOneDRule crule, double alpha, double beta) | |
| Load the cache. More... | |
| OneDimensionalWrapper (int max_level, TypeOneDRule crule, double alpha, double beta) | |
| Overload that skips the custom rule altogether, more convenient in Fourier grids. | |
| int | getNumPoints (int level) const |
| Get the number of points for the level, can only query loaded levels. | |
| int | getPointIndex (int level, int j) const |
| Get the global index of point j on level (used only by non-nested rules). | |
| int | getLevel (int point) |
| Returns the first level associated with this point (nested rules only!). | |
| std::vector< int > | getLevels (std::vector< int > const &point) |
| int | getNumNodes () const |
| Get number of loaded nodes. | |
| double | getNode (int j) const |
| Get the canonical coordinate of the node with global index j. | |
| double | getWeight (int level, int j) const |
| Get the quadrature weight of the j-th node on the level (for non-nested rules, using index local to the level) | |
| const double * | getNodes (int level) const |
| Get an array of all nodes associated with the level (the array is ordered by local index). | |
| const double * | getCoefficients (int level) const |
| Get an array of the Lagrange coefficients associated with the level, the order matches getNodes(). | |
| const std::vector< int > & | getPointsCount () const |
| Get a reference to the offsets of all point counts used by the CacheLagrange class. | |
| TypeOneDRule | getRule () const |
| Get the loaded rule. | |
| int | getNumLevels () const |
| Get the number of cached levels. | |
| const std::vector< double > & | getUnique () const |
| Return reference to all unique nodes. | |
| std::vector< double > | getAllNodes () const |
| Return all nodes concatenated per level. | |
| std::vector< double > | getAllCoeff () const |
| Return all coefficients concatenated per level. | |
| const std::vector< int > & | getNumNodesPerLevel () const |
| Return reference to the number of nodes per level. | |
| std::vector< int > | getOffsetNodesPerLevel () const |
| Return cumulative points per level. | |
A class to cache one dimensional rules, nodes, weight, meta-data, etc.
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inline |
Load the cache.
Load max_level of cache for a rule given by crule. If the rule is not custom tabulated, then custom is not used (could be empty). Similarly, alpha and beta are used only by rules that use the corresponding transformation parameters.