Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate d...
Daniel J. Crichton, J. Steven Hughes, Gregory J. D...
odular Abstraction Refinement Thomas A. Henzinger1 , Ranjit Jhala1 , Rupak Majumdar1 , and Shaz Qadeer2 1 University of California, Berkeley 2 Microsoft Research, Redmond Abstract....
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
Abstract. Data sets in large applications are often too massive to t completely inside the computer's internal memory. The resulting input output communication or I O between ...
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...