Article ID: | iaor200924263 |
Country: | United States |
Volume: | 31 |
Issue: | 1 |
Start Page Number: | 31 |
End Page Number: | 49 |
Publication Date: | Feb 2006 |
Journal: | Mathematics of Operations Research |
Authors: | Kenyon Claire, Sviridenko Maxim, Bansal Nikhil, Correa Jos R |
Keywords: | heuristics, cutting stock |
We study the following packing problem: Given a collection of d–dimensional rectangles of specified sizes, pack them into the minimum number of unit cubes. We show that unlike the one–dimensional case, the two–dimensional packing problem cannot have an asymptotic polynomial time approximation scheme (APTAS), unless P = NP. On the positive side, we give an APTAS for the special case of packing d–dimensional cubes into the minimum number of unit cubes. Second, we give a polynomial time algorithm for packing arbitrary two–dimensional rectangles into at most OPT square bins with sides of length 1 + ϵ, where OPT denotes the minimum number of unit bins required to pack these rectangles. Interestingly, this result has no additive constant term, i.e., is not an asymptotic result. As a corollary, we obtain the first approximation scheme for the problem of placing a collection of rectangles in a minimum–area encasing rectangle.