Graphs & digraphs (2nd ed.)
Localization in graphs
Approximation algorithms for NP-hard problems
Approximation algorithms for NP-hard problems
Resolvability in graphs and the metric dimension of a graph
Discrete Applied Mathematics
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
Evolutionary Algorithms for Vertex Cover
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Lecture notes on approximation algorithms: Volume I
Lecture notes on approximation algorithms: Volume I
On Metric Generators of Graphs
Mathematics of Operations Research
On the strong metric dimension of corona product graphs and join graphs
Discrete Applied Mathematics
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Let G be a connected (di)graph. A vertex w is said to strongly resolve a pair u,v of vertices of G if there exists some shortest u-w path containing v or some shortest v-w path containing u. A set W of vertices is a strong resolving set for G if every pair of vertices of G is strongly resolved by some vertex of W. The smallest cardinality of a strong resolving set for G is called the strong dimension of G. It is shown that the problem of finding the strong dimension of a connected graph can be transformed to the problem of finding the vertex covering number of a graph. Moreover, it is shown that computing this invariant is NP-hard. Related invariants for directed graphs are defined and studied.