Automatic differentiation is a semantic transformation that applies the rules of differential calculus to source code. It thus transforms a computer program that computes a mathema...
Christian H. Bischof, Paul D. Hovland, Boyana Norr...
This paper presents a method to automatically generate posynomial response surface models for the performance parameters of analog integrated circuits. The posynomial models enabl...
Walter Daems, Georges G. E. Gielen, Willy M. C. Sa...
The Adaptive Parallelism Environment is introduced as a means of effectively utilizing MPP processing resources in a multi-programmed MIMD or distributed system. It achieves this...
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Software testing is an essential process to improve software quality in practice. Researchers have proposed several techniques to automate parts of this process. In particular, sym...
Dries Vanoverberghe, Nikolai Tillmann, Frank Piess...