We analyse the probability 1 − δ to be in an optimum solution after k steps of an inhomogeneous Markov chain which is specified by a logarithmic cooling schedule c(k) = Γ/ ln ...
Abstract. We derive upper and lower bounds for some statistical estimation problems. The upper bounds are established for the Gibbs algorithm. The lower bounds, applicable for all ...
The problem of finding a local minimum of a black-box function is central for understanding local search as well as quantum adiabatic algorithms. For functions on the Boolean hype...
In this paper, we are concerned with low-complexity detection in large multiple-input multiple-output (MIMO) systems with tens of transmit/receive antennas. Our new contributions i...
N. Srinidhi, Tanumay Datta, Ananthanarayanan Chock...
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...