activity
20062015
most citedCircumspect descent prevails in solving random constraint satisfaction problems

74 citations · 191 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2015★ 5 cited

Predicting SLA Violations in Real Time using Online Machine Learning

Jawwad Ahmed, Andreas Johnsson, Rerngvit Yanggratoke +3

Detecting faults and SLA violations in a timely manner is critical for telecom providers, in order to avoid loss in business, revenue and reputation. At the same time predicting SL…

cs.DC2010★ 1 cited

The Accuracy of Tree-based Counting in Dynamic Networks

Supriya Krishnamurthy, John Ardelius, Erik Aurell +3

Tree-based protocols are ubiquitous in distributed systems. They are flexible, they perform generally well, and, in static conditions, their analysis is mostly simple. Under churn,…

cond-mat.stat-mech2008★ 38 cited

Exhaustive enumeration unveils clustering and freezing in random 3-SAT

John Ardelius, Lenka Zdeborová

We study geometrical properties of the complete set of solutions of the random 3-satisfiability problem. We show that even for moderate system sizes the number of clusters correspo…

cs.DS2007★ 74 cited

Circumspect descent prevails in solving random constraint satisfaction problems

Mikko Alava, John Ardelius, Erik Aurell +4

We study the performance of stochastic local search algorithms for random instances of the -satisfiability (-SAT) problem. We introduce a new stochastic local search algorith…

cond-mat.stat-mech2007★ 6 cited

Clustering of solutions in hard satisfiability problems

John Ardelius, Erik Aurell, Supriya Krishnamurthy

We study the structure of the solution space and behavior of local search methods on random 3-SAT problems close to the SAT/UNSAT transition. Using the overlap measure of similarit…

cond-mat.stat-mech2006★ 67 cited

Behavior of heuristics and state space structure near SAT/UNSAT transition

John Ardelius, Erik Aurell

We study the behavior of ASAT, a heuristic for solving satisfiability problems by stochastic local search near the SAT/UNSAT transition. The heuristic is focused, i.e. only variabl…