Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sparse grid techniques for particle-in-cell schemes   We propose the use of sparse grids to accelerate particle-in-cell (PIC)
schemes. By using the so-called `combination technique' from the sparse grids
literature, we are able to dramatically increase the size of the spatial cells
in multi-dimensional PIC schemes while paying only a slight penalty in
grid-based error. The resulting increase in cell size allows us to reduce the
statistical noise in the simulation without increasing total particle number.
We present initial proof-of-principle results from test cases in two and three
dimensions that demonstrate the new scheme's efficiency, both in terms of
computation time and memory usage.

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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
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The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: ao-sci
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The categories of this paper are: eess
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex