Data structures and network algorithms
Data structures and network algorithms
A guided tour of Chernoff bounds
Information Processing Letters
Verification and sensitivity analysis of minimum spanning trees in linear time
SIAM Journal on Computing
A randomized linear-time algorithm to find minimum spanning trees
Journal of the ACM (JACM)
Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
A minimum spanning tree algorithm with inverse-Ackermann type complexity
Journal of the ACM (JACM)
An optimal minimum spanning tree algorithm
Journal of the ACM (JACM)
Robust Characterizations of Polynomials withApplications to Program Testing
SIAM Journal on Computing
Testing the diameter of graphs
Random Structures & Algorithms
Estimating the weight of metric minimum spanning trees in sublinear-time
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Approximating the Minimum Spanning Tree Weight in Sublinear Time
SIAM Journal on Computing
Approximating the Weight of the Euclidean Minimum Spanning Tree in Sublinear Time
SIAM Journal on Computing
Algorithms for Reporting and Counting Geometric Intersections
IEEE Transactions on Computers
SFCS '75 Proceedings of the 16th Annual Symposium on Foundations of Computer Science
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Property testing
Property testing
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Given a Euclidean graph G over a set P of n points in the plane, we are interested in verifying whether G is a Euclidean minimum spanning tree (EMST) of P or G differs from it in more than ε n edges. We assume that G is given in adjacency list representation and the point/vertex set P is given in an array. We present a property testing algorithm that accepts graph G if it is an EMST of P and that rejects with probability at least 2/3 if G differs from every EMST of P in more than ε, n edges. Our algorithm runs in O(&sqrt;n/ε ⋅ log2 (n/ε)) time and has a query complexity of O(&sqrt;n/ε ⋅ log (n/ε)).