Interval constraints can be used to solve problems in numerical analysis. In this paper we show that one can improve the performance of such an interval constraint program by the ...
Program analysis tools typically compute two types of information: (1) may information that is true of all program executions and is used to prove the absence of bugs in the progr...
Aditya V. Nori, Patrice Godefroid, SaiDeep Tetali,...
The testing of programs in wireless sensor networks (WSN) is an important means to assure quality but is a challenging process. As pervasive computing has been identified as a not...
W. K. Chan, Tsong Yueh Chen, S. C. Cheung, T. H. T...
The assumption of real-number arithmetic, which is at the basis of conventional geometric algorithms, has been seriously challenged in recent years, since digital computers do not...
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...