Constraint-based random simulation is state-of-the-art in verification of multi-million gate industrial designs. This method is based on stimulus generation by constraint solving...
When analyzing the evolution history of a software project, we wish to develop results that generalize across projects. One approach is to analyze design patterns, permitting char...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Automated cell placement is a critical problem in VLSI physical design. New analytical placement methods that simultaneously spread cells and optimize wirelength have recently rec...
Abstract. Context-sensitive analysis provides information which is potentially more accurate than that provided by context-free analysis. Such information can then be applied in or...