In this paper, we study shelf space allocation optimization which is important to retail operations management. Our approach is to formulate a model that is applicable to operatio...
Andrew Lim, Brian Rodrigues, Fei Xiao, Xingwen Zha...
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
In this paper, a statistical clustering model and algorithm have been discussed. Finding the optimal solution to clustering problem is transformed into simulating the equilibrium ...
—In the field of distributed computing, there are many round-based algorithms to solve fundamental problems, such as leader election and distributed consensus. Due to the nature...
In this note we consider the numerical solution of selfadjoint deblurring problems on bounded intervals. For these problems it has recently been shown that appropriate modelling of...