We propose a new data structure to compute the Delaunay triangulation of a set of points in the plane. It combines good worst case complexity, fast behavior on real data, small me...
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
— A central problem of applications dealing with virtual environments is planning a collision-free path for a character. Since environments and their characters are growing more ...
Abstract. Separation kernels are key components in embedded applications. Their small size and widespread use in high-integrity environments make them good targets for formal model...
MPI datatypes are a convenient abstraction for manipulating complex data structures and are useful in a number of contexts. In some cases, these descriptions need to be preserved o...