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Indeed, experiments show that it outperforms its rivals even starting from as small a network as a POPS(2, 2), and the gap grows exponentially with the size of the network.
Online Permutation Routing in Partitioned Optical Passive Star Networks
Indeed, our experiments show that it outperforms its rivals even starting from as small a network as a POPS(2, 2), and the gap grows exponentially with the size of the network.
Online Permutation Routing in Partitioned Optical Passive Star Networks
Experiments show that it outperforms the algorithm in even on networks as small as a POPS(2, 2), and proves to be exponentially faster when d and g grow.
Online Permutation Routing in Partitioned Optical Passive Star Networks
Actually, our algorithm outperforms its competitor for all network sizes hence putting aside any possible concern about the hidden consts.
Online Permutation Routing in Partitioned Optical Passive Star Networks
Figure 4 and 5 show ﬁrst that the BP algorithm is overall outperformed by the Walksat algorithm.
Colouring random graphs and maximising local diversity
Then, it can be noticed that if Walksat clearly outperforms BP for 100 nodes systems both in terms of unsatisfaction and of perfect colouring, this is not the case Indeed, the results obtained by BP seem when 1000 nodes systems are considered.
Colouring random graphs and maximising local diversity
Walksat algorithm would naturally outperform BP as for 100 nodes systems.
Colouring random graphs and maximising local diversity
However, for an incresing system size and given computing resources BP is likely to outperform Walksat.
Colouring random graphs and maximising local diversity
Based on these considerations, random pulses may hardly be expected to outperform deterministic controls in the limits discussed above.
Dynamical control of qubit coherence: Random versus deterministic schemes
Note, in particular, that the latter outperforms the standard A-protocol in some parameter regimes.
Dynamical control of qubit coherence: Random versus deterministic schemes
In general, our computational results indicate that, on average, our heuristic outperforms the two existing heuristics in terms of the total running time by a margin of 12% to 86%.
A study of the edge-switching Markov-chain method for the generation of random graphs
In addition, we show how randomization may allow to outperform purely deterministic schemes at long times, including combinatorial and concatenated methods.
Enhanced Convergence and Robust Performance of Randomized Dynamical Decoupling
It is clear that it outperforms the other iterative algorithms, which approximate to descents on the free-energy surface, by a considerable margin.
Free energy landscapes, dynamics and the edge of chaos in mean-field models of spin glasses
Although it again outperformed simple descent algorithms it was hard to get solutions whose energies per spin were equal to the equilibrium energy per spin.
Free energy landscapes, dynamics and the edge of chaos in mean-field models of spin glasses
As we will see below in numerical simulations, the procedures presented here largely outperform purely local algorithms, and therefore allow to construct better approximations to the exact solution.
Message passing for vertex covers
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