Approximating the Orthogonal Knapsack Problem for Hypercubes
نویسنده
چکیده
Given a list of d-dimensional cuboid items with associated profits, the orthogonal knapsack problem asks for a packing of a selection with maximal profit into the unit cube. We restrict the items to hypercube shapes and derive a ( 5 4 + )-approximation for the twodimensional case. In a second step we generalize our result to a ( 2 +1 2d + )approximation for d-dimensional packing.
منابع مشابه
Approximation algorithms for orthogonal packing problems for hypercubes
Orthogonal packing problems are natural multidimensional generalizations of the classical bin packing problem and knapsack problem and occur in many different settings. The input consists of a set I = {r1, . . . , rn} of d-dimensional rectangular items ri = (ai,1, . . . , ai,d) and a space Q. The task is to pack the items in an orthogonal and non-overlapping manner without using rotations into ...
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