Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An efficient methodology for modeling complex computer codes with
  Gaussian processes   Complex computer codes are often too time expensive to be directly used to
perform uncertainty propagation studies, global sensitivity analysis or to
solve optimization problems. A well known and widely used method to circumvent
this inconvenience consists in replacing the complex computer code by a reduced
model, called a metamodel, or a response surface that represents the computer
code and requires acceptable calculation time. One particular class of
metamodels is studied: the Gaussian process model that is characterized by its
mean and covariance functions. A specific estimation procedure is developed to
adjust a Gaussian process model in complex cases (non linear relations, highly
dispersed or discontinuous output, high dimensional input, inadequate sampling
designs, ...). The efficiency of this algorithm is compared to the efficiency
of other existing algorithms on an analytical test case. The proposed
methodology is also illustrated for the case of a complex hydrogeological
computer code, simulating radionuclide transport in groundwater.

29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
1
The categories of this paper are: cs
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex