Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
- We address the issues of improving the feature generation methods for the value-function approximation and the state space approximation. We focus the improvement of feature gene...
When a system fails to satisfy its specification, the model checker produces an error trace (or counter-example) that demonstrates an undesirable behavior, which is then used in d...
the research activities. This abstract is to introduce the approach of a data model - EP data model. Its data structure is able to store as a finite set of nodes arbitrary effectiv...
We investigate fully parallel Newton-Krylov-Schwarz (NKS) algorithms for solving the large sparse nonlinear systems of equations arising from the finite element discretization of ...