In the mobile facility location problem, which is a variant of the classical Uncapacitated Facility Location and kMedian problems, each facility and client is assigned to a start ...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
This paper proposes an effective method for converting any fast DCT algorithm into an approximate multiplierless version. Basically it approximates any constant in the original tr...
Abstract. We implement the approximation algorithm for the multicast congestion problem in communication networks in [14] based on the fast approximation algorithm for packing prob...
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...