python.uq.operations.general Namespace Reference

Functions
def	cross (grid1, grid2)
def	extend_grid (grid, n, args, kws)
def	extend_grid_1d (grid, args, kws)
def	insert_children (grid, gp, d)
def	isList (x)
def	isMatrix (x)
def	isNumerical (x)
def	join (grid1, grid2, args, kws)
def	project (grid, dims)
def	projectList (gps, dims)

Function Documentation

cross()

def python.uq.operations.general.cross	(		grid1,
			grid2
	)

Create a grid of dimensionality dim1 + dim2 where
@param grid1:
@param grid2:

extend_grid()

def python.uq.operations.general.extend_grid	(		grid,
			n,
			args,
			kws
	)

Extends the grid. Generates a full grid in all additional dimensions
@param grid: Grid, sparse grid
@param n: int, additional dimensions

References python.uq.operations.general.extend_grid_1d().

Referenced by python.uq.operations.general.join().

extend_grid_1d()

def python.uq.operations.general.extend_grid_1d	(		grid,
			args,
			kws
	)

References python.uq.operations.sparse_grid.createGrid(), and python.uq.operations.sparse_grid.insertPoint().

Referenced by python.uq.operations.general.extend_grid().

insert_children()

def python.uq.operations.general.insert_children	(		grid,
			gp,
			d
	)

References python.uq.operations.sparse_grid.isValid().

isList()

def python.uq.operations.general.isList

(

x

)

References create_dataset.type.

Referenced by python.uq.dists.LibAGFDist.LibAGFDist.cdf(), python.uq.dists.EstimatedDist.EstimatedDist.computeLinearTransformation(), and python.uq.dists.LibAGFDist.LibAGFDist.ppf().

isMatrix()

def python.uq.operations.general.isMatrix

(

x

)

References create_dataset.type.

isNumerical()

def python.uq.operations.general.isNumerical

(

x

)

References create_dataset.type.

Referenced by python.uq.dists.LibAGFDist.LibAGFDist.cdf(), python.uq.dists.EstimatedDist.EstimatedDist.computeLinearTransformation(), python.uq.analysis.asgc.anova.hdmrAnalytic.HDMRAnalytic.eval(), python.uq.dists.LibAGFDist.LibAGFDist.pdf_libagf(), and python.uq.dists.LibAGFDist.LibAGFDist.ppf().

join()

def python.uq.operations.general.join	(		grid1,
			grid2,
			args,
			kws
	)

Join two grids, which are not of the same dimensionality. The grid
of lower dimensionality is extended to the larger one by adding
a full grid resolution in the new directions.
@param grid1: Grid, sparse grid
@param grid2: Grid, sparse grid
@return: Grid, joined sparse grid of dimensionality max(dim1, dim2) with
basis of grid2

References python.uq.operations.sparse_grid.copyGrid(), and python.uq.operations.general.extend_grid().

project()

def python.uq.operations.general.project	(		grid,
			dims
	)

Project all grid points to the given dimensions

@param grid: Grid sparse grid
@param dims: list dimensions to which the grid points are projected

References python.uq.operations.sparse_grid.createGrid(), and python.uq.operations.sparse_grid.getBasis().

Referenced by python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForMeanProjected(), and python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForVarianceProjected().

projectList()

def python.uq.operations.general.projectList	(		gps,
			dims
	)

Project all grid points to the given dimensions

@param gps: list of grid points
@param dims: list dimensions to which the grid points are projected

Referenced by python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForMeanList(), and python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForVarianceList().