Journal of Parallel and Distributed Computing
A Near-Optimal Solution to a Two-Dimensional Cutting Stock Problem
Mathematics of Operations Research
An efficient approximation for the generalized assignment problem
Information Processing Letters
An optimal bound for two dimensional bin packing
SFCS '75 Proceedings of the 16th Annual Symposium on Foundations of Computer Science
Approximating the orthogonal knapsack problem for hypercubes
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Packing weighted rectangles into a square
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
Two-dimensional bin packing with one-dimensional resource augmentation
Discrete Optimization
Two for One: Tight Approximation of 2D Bin Packing
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Approximation algorithms for orthogonal packing problems for hypercubes
Theoretical Computer Science
A Structural Lemma in 2-Dimensional Packing, and Its Implications on Approximability
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Theoretical Computer Science
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Given a set Q of squares with positive profits, the square packing problem is to select and pack a subset of squares of maximum profit into a rectangular bin R. We present a polynomial time approximation scheme for this problem, that for any value Ɛ 0 finds and packs a subset Q′ ⊆ Q of profit at least (1 - Ɛ)OPT, where OPT is the profit of an optimum solution. This settles the approximability of the problem and improves on the previously best approximation ratio of 5/4 +Ɛ achieved by Harren's algorithm.