Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
We present a simple randomized scheme for triangulating a set P of n points in the plane, and construct a kinetic data structure which maintains the triangulation as the points of...
In this paper we showed that a p( 2)-center location problem in general networks can be transformed to the well known Klee's measure problem [5]. This resulted in an improved...
—One of the major issues in a wireless sensor network (WSN) is how to cover an interested area. In this paper, we consider the area coverage problem for variable sensing radii WS...
This paper is intended as a contribution to enhance orthogonal collocation methods. In this, a novel collocation method--TH-collocation--is applied to the biharmonic equation and ...