A Better bound of randomized algorithms for the multislope ski-rental problem
Hu, Maolin1 ; Xu, Weijun2
1 School of Mathematical Science, Huaiyin Normal University, Huaian, Jiangsu 223300, P.R. China.
2 School of Business Administration, South China University of Technology, Guangzhou 510641, P.R. China.
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications, Tome 51 (2017) no. 2, pp. 91-98.

The multislope ski-rental problem is an extension of the classical ski-rental problem, where the player has several lease options in addition to the pure rent and buy options. For the additive general model, Lotker, Patt-Shamir and Rawitz [in: SIAM J. Discr. Math. 26 (2012) 718–736] obtained a randomized algorithm with the competitive ratio bounded by e-rk/r0e-1. However, obtaining a better bound on the competitive factor as a function of the slopes parameters remains an open problem in their paper. In this paper, we study randomized algorithm for the additive multislope ski rental problem, and extend the competitive ratio bound e-rk/r0e-1 proposed by Lotker et al. to ee-1+rk/r0.

Reçu le :
Accepté le :
DOI : 10.1051/ita/2017009
Classification : 68W27, 91A80
Mots-clés : Online algorithms, ski rental, randomized algorithms, competitive ratio
Hu, Maolin 1 ; Xu, Weijun 2

1 School of Mathematical Science, Huaiyin Normal University, Huaian, Jiangsu 223300, P.R. China.
2 School of Business Administration, South China University of Technology, Guangzhou 510641, P.R. China. 
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     title = {A {Better} bound of randomized algorithms for the multislope ski-rental problem},
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     publisher = {EDP-Sciences},
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Hu, Maolin; Xu, Weijun. A Better bound of randomized algorithms for the multislope ski-rental problem. RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications, Tome 51 (2017) no. 2, pp. 91-98. doi : 10.1051/ita/2017009. https://www.numdam.org/articles/10.1051/ita/2017009/

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