Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
The control of mobile robots acting autonomously in the real world is one of the long-term goals of the field of artificial intelligence. So far the field lacks methods bridging th...
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
We address the problem of rectifying an incorrect combinational circuit against a given specification. Based on the symbolic BDD techniques, we consider the rectification process,...
Current approaches to compute and exploit the flexibility of a component in an FSM network are all at the symbolic level [23, 30, 33, 31]. Conventionally, exploitation of this ï¬...