Abstract
The offline dynamic storage allocation (DSA) problem has recently received some renewed attention and several new results have been reported. The problem is NP-complete and the best known result for the offline DSA is a polynomial time 3-approximation algorithm [Gerg99]. Better ratios have been reported for special cases if restrictions are placed on the allowable sizes of the blocks [Gerg96,MuBh99]. In this paper, we present new techniques for solving special cases with blocks of restricted sizes and we obtain better approximation ratios for them. We first obtain results for small instances which are then used to solve the more general cases. Our main results are (i) a 4/3-approximation algorithm when the maximum block size h=2 (previous best was 3/2); and (ii) a 1.7-approximation algorithm for the case h=3 (previous best was 1\(\frac{11}{12}\)).
This work was supported in part by the National University of Singapore under Grant R252-000-128-112.
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Li, S.C., Leong, H.W., Quek, S.K. (2004). New Approximation Algorithms for Some Dynamic Storage Allocation Problems. In: Chwa, KY., Munro, J.I.J. (eds) Computing and Combinatorics. COCOON 2004. Lecture Notes in Computer Science, vol 3106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27798-9_37
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DOI: https://doi.org/10.1007/978-3-540-27798-9_37
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