Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
In the paper, we study the problem of optimal matching of two generalized functions (distributions) via a diffeomorphic transformation of the ambient space. In the particular case...
Lossless compression is studied for pairs of independent integer-valued symbols emitted by a source with a geometric probability distribution of parameter q (0, 1). Optimal prefix...
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
The effect of quantization of prior probabilities in a collection of distributed Bayesian binary hypothesis testing problems over which the priors themselves vary is studied. In ...