We describe a new technique that can be used to derandomize a number of randomized algorithms for routing and sorting on meshes. We demonstrate the power of this technique by deri...
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
This paper addresses the issue of timing driven gate duplication for delay optimization. Gate duplication has been used extensively for cutset minimization but the usefulness in m...
We present a polynomial time approximation algorithm for unit time precedence constrained scheduling. Our algorithm guarantees schedules which are at most 2 - 7 3p+1 factor as lon...
Modern digital signal processing applications have an increasing demand for computational power while needing to preserve low power dissipation and high flexibility. For many appl...
B. Neumann, Thorsten von Sydow, Holger Blume, Tobi...