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The discrete Voronoi game in R2

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TLDR
This paper proposes polynomial time algorithms for determining the optimal strategies of both the players for arbitrarily located existing facilities F and S in the discrete Voronoi game in R 2, and shows that in the L 1 and the L ∞ metrics, the optimal strategy of P2, given any placement of P1, can be found in O ( n log ⁡ n ) time.
Abstract
In this paper we study the last round of the discrete Voronoi game in R 2 , a problem which is also of independent interest in competitive facility location. The game consists of two players P1 and P2, and a finite set U of users in the plane. The players have already placed two disjoint sets of facilities F and S, respectively, in the plane. The game begins with P1 placing a new facility followed by P2 placing another facility, and the objective of both the players is to maximize their own total payoffs. In this paper we propose polynomial time algorithms for determining the optimal strategies of both the players for arbitrarily located existing facilities F and S. We show that in the L 1 and the L ∞ metrics, the optimal strategy of P2, given any placement of P1, can be found in O ( n log ⁡ n ) time, and the optimal strategy of P1 can be found in O ( n 5 log ⁡ n ) time. In the L 2 metric, the optimal strategies of P2 and P1 can be obtained in O ( n 2 ) and O ( n 8 ) times, respectively.

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The Voronoi game on graphs and its complexity

TL;DR: The discrete Voronoi game in which the game arena is given as a graph is introduced, and it is shown that the game is intractable in general and PSPACE-complete in general.

Faster algorithms for geometric clustering and competitive facility-location problems

M. Mehr
TL;DR: The final author version and the galley proof are versions of the publication after peer review and the final published version features the final layout of the paper including the volume, issue and page numbers.
Journal ArticleDOI

The one-round multi-player discrete Voronoi game on grids and trees

TL;DR: This work investigates the following one-round multi-player discrete Voronoi game on grids and trees and constructs a family of strategy profiles, which are pure-strategy Nash equilibria on sufficiently narrow graphs.

Competitive facility location: the Voronoi game.

TL;DR: In this article, the authors considered a competitive facility location problem with two players, each of which alternate placing points, one at a time, into the playing field until each player has placed n points.
Journal ArticleDOI

The 1-dimensional discrete Voronoi game

TL;DR: Borders on the worst-case payoffs of the two players are proved, algorithms for finding the optimal strategies of the players in the 2-round Voronoi game are discussed, and the objective is to maximize their own total payoffs.
References
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Book ChapterDOI

Stability in Competition

TL;DR: In this paper, it was shown that if the purveyor of an article gradually increases his price while his rivals keep theirs fixed, the diminution in volume of his sales will in general take place continuously rather than in the abrupt way which has tacitly been assumed.
Book

Facility location : applications and theory

TL;DR: The Weber Problem, a study of location problems in the public sector, and an Efficient Genetic Algorithm for the p-Median Problem, provide insights into the design of location models.
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Competitive Location Models: A Framework and Bibliography

TL;DR: This paper presents a taxonomy for competitive location models based on the following five components: the space, the number of players, the pricing policy, the rules of the game, and the behavior of the customers.
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On Approximating the Depth and Related Problems

TL;DR: This paper reduces the problem of finding a disk covering the largest number of red points, while avoiding all the blue points to a near-linear expected-time randomized approximation algorithm and proves that approximate range counting has roughly the same time and space complexity as answering emptiness range queries.
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Competitive facility location: the Voronoi game

TL;DR: A competitive facility location problem with two players is considered, where the arena is a circle or a line segment, and the player whose points control the larger area wins.
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