Introduction to algorithms
A linear time algorithm for sequential diagnosis in hypercubes
Journal of Parallel and Distributed Computing
Adaptive System-Level Diagnosis for Hypercube Multiprocessors
IEEE Transactions on Computers
A Graph Partitioning Approach to Sequential Diagnosis
IEEE Transactions on Computers
Better Adaptive Diagnosis of Hypercubes
IEEE Transactions on Computers
Diagnosability of regular systems
Journal of Algorithms
International Journal of Parallel, Emergent and Distributed Systems
On diagnosability of large multiprocessor networks
Discrete Applied Mathematics
Interactive Communication, Diagnosis and Error Control in Networks
Algorithmics of Large and Complex Networks
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Abstract--In this note, we use a vertex-isoperimetric inequality to show that the number of test and repair iterations needed to perform sequential diagnosis of d-dimensional hypercubes is upper bounded by d-r, where r\in\Theta(d). This result improves the best bound of d test and repair iterations previously known. Numerical evaluation has shown that the actual value of r ranges from 0.16d to 0.31d.