SGHelper: a numpy interface for the SG++ adaptive sparse grids library
Requires the SG++ library of Dirk Pflueger, which can be found at http://sgpp.sparsegrids.org/.
This module provides a class SGHelper for easy interface with SG++ capabilities using numpy arrays. Functions can be approximated on arbitrary cubes by providing lower and upper bounds for each argument. The constructor for the class automatically creates a grid that is refined to a set tolerance. The grid can then be used to evaluate the function on a numpy array of points. Each column should be one input point.
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