The two most popular backtrack algorithms for solving Constraint Satisfaction Problems (CSPs) are Forward Checking (FC) and Maintaining Arc Consistency (MAC). MAC maintains full ar...
Nowadays, many real problem in Artificial Intelligence can be modeled as constraint satisfaction problems (CSPs). A general rule in constraint satisfaction is to tackle the hardes...
In this paper, we investigate a new generalized selection combining (GSC) technique and an adaptive rake combining scheme to save the power consumption of mobile rake receivers fo...
Many dynamic optimization and/or binary translation systems hold optimized/translated superblocks in a code cache. Conventional code caching systems suffer from overheads when con...
A binary constraints network consists of a set of n variables, defined on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...