Ahn, Young-Hwan Kim, Hu-Gon CHOI, DONG GU

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Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...

Cohen, Nathann Mc Inerney, Fionn Nisse, Nicolas Pérennes, Stéphane

In the Spy game played on a graph G, a single spy travels the vertices of G at speed s, while multiple slow guards strive to have, at all times, one of them within distance d of that spy. In order to determine the smallest number of guards necessary for this task, we analyze the game through a Linear Programming formulation and the fractional strat...