Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient approximation of SDEs driven by countably dimensional Wiener
  process and Poisson random measure   In this paper we deal with pointwise approximation of solutions of stochastic
differential equations (SDEs) driven by infinite dimensional Wiener process
with additional jumps generated by Poisson random measure. The further
investigations contain upper error bounds for the proposed truncated dimension
randomized Euler scheme. We also establish matching (up to constants) upper and
lower bounds for $\varepsilon$-complexity and show that the defined algorithm
is optimal in the Information-Based Complexity (IBC) sense. Finally, results of
numerical experiments performed by using GPU architecture are also reported.

37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio