We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Abstract. An amoeboid organism, Physarum, exhibits rich spatiotemporal oscillatory behavior and various computational capabilities. Previously, the authors created a recurrent neur...
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
This paper extends the set of problems for which a global solution can be found using modern optimization methods. In particular, the method is applied to estimation of the essent...
This paper gives some global and uniform convergence estimates for a class of subspace correction (based on space decomposition) iterative methods applied to some unconstrained con...