In this paper, we address a fundamental problem concerning the best flooding strategy to minimize cost and latency for target discovery in wireless networks. Should we flood the ...
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
d abstract) Lars Arge1 , Darren Erik Vengroff2 , and Jeffrey Scott Vitter3 1 BRICS† , Department of Computer Science, University of Aarhus, Aarhus, Denmark 2 Department of Comp...
Lars Arge, Darren Erik Vengroff, Jeffrey Scott Vit...
We develop cache-oblivious data structures for orthogonal range searching, the problem of finding all T points in a set of N points in Êd lying in a query hyper-rectangle. Cache...
Pankaj K. Agarwal, Lars Arge, Andrew Danner, Bryan...