An Optimal Algorithm for 1-D Cutting Stock Problem
We present an nΔ^O(k^2) time algorithm to obtain an optimal solution for 1-dimensional cutting stock problem: the bin packing problem of packing n items onto unit capacity bins under the restriction that the number of item sizes k is fixed, where Δ is the reciprocal of the size of the smallest item. We employ elementary ideas in both the design and analysis our algorithm.
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