We consider the problem of positioning a cloud of points in the Euclidean space ℝ d, using
noisy measurements of a subset of pairwise distances. This task has applications in various …

In a network of cooperating unmanned aerial vehicles (UAVs), individual UAVs usually need
to localize themselves in a shared and generally global frame. This paper studies the …

In cooperative localization, the aim is to compute the locations in Euclidean space of a set of
nodes performing pairwise distance measurements. In cases of lack of measurements …

We consider the problem of embedding unweighted, directed k-nearest neighbor graphs in
low-dimensional Euclidean space. The k-nearest neighbors of each vertex provides ordinal …

In this dissertation, numerical optimization methods for three different classes of problems
are presented: statistical modeling of crime, compressive sensing, and ordinal embedding. A …