We give a new type inference algorithm for typing lambda-terms in Elementary Affine Logic (EAL), which is motivated by applications to complexity and optimal reduction. Following p...
We developed new parameterized Particle-in-Cell algorithms and data structures for emerging multi-core and many-core architectures. Four parameters allow tuning of this PIC code t...
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
We give a review of various aspects of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of statistics. ...
This paper aims at broadening the scope of hierarchical ATPG to the behavioral-level The main problem of using behavioral information for ATPG is the mismatch of timing models bet...