In this work we study approximation of fuzzy functions on a finite set of distinct points. Two types of approximation are considered, one method based on fuzzy linear programming p...
Current practice in the design of application software for high-performance embedded computing systems is characterized by long development times, lack of interoperability with ot...
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
In this paper, we present a new retiming-based technology mapping algorithm for look-up table-based eld programmable gate arrays. The algorithm is based on a novel iterative proce...
The traditional complex access procedure still prevents a lot of scientists to migrate their applications to massively parallel computers and to bene t from their computing power. ...