python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking Class Reference

Inheritance diagram for python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking:

Public Member Functions
def	__init__ (self)
def	update (self, grid, v, gpi, params, args, kws)
Public Member Functions inherited from python.uq.refinement.RefinementStrategy.Ranking
def	__init__ (self)
def	getKnowledgeType (self)
def	rank (self, grid, gp, alphas, params, t=0, args, kws)
def	update (self, grid, v, gpi, params)

Constructor & Destructor Documentation

__init__()

def python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking.__init__

(

self

)

References python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking._bilinearForm, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._linearForm, and python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking._linearForm.

Member Function Documentation

update()

def python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking.update	(		self,
			grid,
			v,
			gpi,
			params,
			args,
			kws
	)

Compute ranking for variance estimation

\argmax_{i \in \A} | v_i (2 A_i v_i - v_i b_i) |

@param grid: Grid grid
@param v: numpy array coefficients
@param admissibleSet: AdmissibleSet

References python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking._bilinearForm, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._linearForm, python.uq.refinement.RefinementStrategy.MeanSquaredOptRanking._linearForm, and python.uq.operations.sparse_grid.getBasis().

---

The documentation for this class was generated from the following file:

• datadriven/python/uq/refinement/RefinementStrategy.py