Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
Property testing in massive graphs
Handbook of massive data sets
Fast Monte-Carlo Algorithms for Approximate Matrix Multiplication
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Algorithms column: sublinear time algorithms
ACM SIGACT News
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
Sublinear Geometric Algorithms
SIAM Journal on Computing
On Derandomizing Probabilistic Sublinear-Time Algorithms
CCC '07 Proceedings of the Twenty-Second Annual IEEE Conference on Computational Complexity
Facility location in sublinear time
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
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We study sublinear time complexity and algorithm to approximate the diameter for a sequence S= p1p2驴 pnof points in a metric space, in which every pair of two consecutive points piand pi+ 1in the sequence Shas the same distance. The diameter of Sis the largest distance between two points piand pjin S. The approximate diameter problem is investigated under deterministic, zero error randomized, and bounded error randomized models. We obtain a class of separations about the sublinear time computations using various versions of the approximate diameter problem based on the restriction about the format of input data.