Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Isolated multiple zeros or clusters of zeros of analytic maps with several variables are known to be difficult to locate and approximate. This article is in the vein of the α-theo...
Convex polygons in the plane can be defined explicitly as an ordered list of vertices, or given implicitly, for example by a list of linear constraints. The latter representation h...
In this paper we present an application of the propositional SATisfiability environment to computing some simple orthogonal matrices and some interesting tasks in the area of cry...
Every human likes choices. But today’s fast route planning algorithms usually compute just a single route between source and target. There are beginnings to compute alternative r...
Roland Bader, Jonathan Dees, Robert Geisberger, Pe...