Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
— The Residue Logarithmic Number System (RLNS) represents real values as quantized logarithms which, in turn, are represented using the Residue Number System (RNS). Compared to t...
Reuse has always been a major goal in software engineering, since it promises large gains in productivity, quality and time to market reduction. Practical experience has shown tha...
There exist practical bit-parallel algorithms for several types of pair-wise string processing, such as longest common subsequence computation or approximate string matching. The b...
In this paper we examine the problem of balancing load in a large-scale distributed system when information about server loads may be stale. It is well known that sending each req...