Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: OPESCI-FD: Automatic Code Generation Package for Finite Difference
  Models   In this project, we introduce OPESCI-FD, a Python package built on symbolic
mathematics to automatically generate Finite Difference models from a
high-level description of the model equations. We investigate applying this
framework to generate the propagator program used in seismic imaging. We
implement the 3D velocity-stress FD scheme as an example and demonstrate the
advantages of usability, flexibility and accuracy of the framework. The design
of OPESCI-FD aims to allow rapid development, analysis and optimisation of
Finite Difference programs. OPESCI-FD is the foundation for continuing
development by the OPESCI project team, building on the research presented in
this report. This report concludes by reviewing the further developments that
are already under way, as well as the scope for extension to cater for other
equations and numerical schemes.

26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin