Cyclic games and linear programming
Discrete Applied Mathematics
Scientific contributions of Leo Khachiyan (a short overview)
Discrete Applied Mathematics
Discrete Applied Mathematics
Complexity of determining the most vital elements for the 1-median and 1-center location problems
COCOA'10 Proceedings of the 4th international conference on Combinatorial optimization and applications - Volume Part I
Complexity of most vital nodes for independent set in graphs related to tree structures
IWOCA'10 Proceedings of the 21st international conference on Combinatorial algorithms
The most vital nodes with respect to independent set and vertex cover
Discrete Applied Mathematics
Efficient algorithms for finding the k most vital edges for the minimum spanning tree problem
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
Minimum d-blockers and d-transversals in graphs
Journal of Combinatorial Optimization
Efficient determination of the k most vital edges for the minimum spanning tree problem
Computers and Operations Research
Complexity of determining the most vital elements for the p-median and p-center location problems
Journal of Combinatorial Optimization
Critical edges/nodes for the minimum spanning tree problem: complexity and approximation
Journal of Combinatorial Optimization
A faster algorithm for solving one-clock priced timed games
CONCUR'13 Proceedings of the 24th international conference on Concurrency Theory
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Given a directed graph G=(V,A) with a non-negative weight (length) function on its arcs w:A→ℝ+ and two terminals s,t∈V, our goal is to destroy all short directed paths from s to t in G by eliminating some arcs of A. This is known as the short paths interdiction problem. We consider several versions of it, and in each case analyze two subcases: total limited interdiction, when a fixed number k of arcs can be removed, and node-wise limited interdiction, when for each node v∈V a fixed number k(v) of out-going arcs can be removed. Our results indicate that the latter subcase is always easier than the former one. In particular, we show that the short paths node-wise interdiction problem can be efficiently solved by an extension of Dijkstra’s algorithm. In contrast, the short paths total interdiction problem is known to be NP-hard. We strengthen this hardness result by deriving the following inapproximability bounds: Given k, it is NP-hard to approximate within a factor cs–t distance d(s,t) obtainable by removing (at most) k arcs from G. Furthermore, given d, it is NP-hard to approximate within a factor $cd(s,t)≥d. Finally, we also show that the same inapproximability bounds hold for undirected graphs and/or node elimination.