Fast Projected Convolution of Piecewise Linear Functions on Non-equidistant Grids
W. Hackbusch ()
Additional contact information
W. Hackbusch: Max-Planck-Institut Mathematik in den Naturwissenschaften
A chapter in From Nano to Space, 2008, pp 145-160 from Springer
Abstract:
Abstract Usually, the fast evaluation of a convolution integral f ℝ f(y)g(x−y)dy requires that the functions f, g are discretised on an equidistant grid in order to apply FFT. Here we discuss the efficient performance of the convolution in locally refined grids. More precisely, f and g are assumed to be piecewise linear and the convolution result is projected into the space of linear functions in a given locally refined grid. Under certain conditions, the overall costs are still O(N logN), where N is the sum of the dimensions of the subspaces containing f, g and the resulting function.
Keywords: Piecewise Linear Function; Level Number; Discrete Convolution; Equidistant Grid; Population Balance Model (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-74238-8_12
Ordering information: This item can be ordered from
http://www.springer.com/9783540742388
DOI: 10.1007/978-3-540-74238-8_12
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().