The efficient solution of large-scale linear and nonlinear optimization problems may require exploiting any special structure in them in an efficient manner. We describe and analy...
Antonio J. Conejo, Francisco J. Nogales, Francisco...
Modeling and understanding complex non-manifold shapes is a key issue in shape analysis and retrieval. The topological structure of a non-manifold shape can be analyzed through its...
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or nois...
Data decomposition is probably the most successful method for generating parallel programs. In this paper a general framework is described for the automatic generation of parallel...
Edwin M. R. M. Paalvast, Henk J. Sips, Arjan J. C....
Abstract. In this paper, we investigate the performance of several existing structural decomposition methods on fully interlocked Crossword Puzzle Problems (CPPs) and draw directio...