The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable...
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
In this paper we investigate the protein sequence design (PSD) problem (also known as the inverse protein folding problem) under the Canonical model 4 on 2D and 3D lattices [12, 25...
Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robe...
Abstract— The primary disadvantage of orthogonal frequencydivision multiplexing (OFDM) is the high time-domain peak-toaverage power ratio (PAR) that severely limits the transmitt...
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...