Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Time of Arrival measurement model for non-convex optimization
  with noisy data   The quadratic system provided by the Time of Arrival technique can be solved
analytical or by optimization algorithms. In real environments the measurements
are always corrupted by noise. This measurement noise effects the analytical
solution more than non-linear optimization algorithms. On the other hand it is
also true that local optimization tends to find the local minimum, instead of
the global minimum. This article presents an approach how this risk can be
significantly reduced in noisy environments. The main idea of our approach is
to transform the local minimum to a saddle point, by increasing the number of
dimensions.

34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci