An O(nlgK · 2n/2) time and O(k · 2 n/K) space algorithm for certain NP-complete problems
Theoretical Computer Science
Complexity of selection in X + Y
Theoretical Computer Science
On space-efficient algorithms for certain NP-complete problems
Theoretical Computer Science
A parallel two-list algorithm for the knapsack problem
Parallel Computing
Fast and scalable parallel algorithms for knapsack-like problems
Journal of Parallel and Distributed Computing
Computing Partitions with Applications to the Knapsack Problem
Journal of the ACM (JACM)
Comments on parallel algorithms for the knapsack problem
Parallel Computing
Comments on parallel algorithms for the knapsack problem
Parallel Computing
Optimal parallel algorithm for the knapsack problem without memory conflicts
Journal of Computer Science and Technology
An optimal parallelization of the two-list algorithm of cost O(2n/2)
Parallel Computing
A parallel O(n27n/8) time-memory-processor tradeoff for Knapsack-like problems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
A note on developing optimal and scalable parallel two-list algorithms
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
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Chang et al. [Parallel Comput. (1994) 233] introduced a parallel algorithm based on a shared memory SIMD architecture for the generation phase of the classic Horowitz and Sahni [J. ACM 21(2) (1974) 277] two-list serial algorithm for the knapsack problem. They claimed that their parallel generation phase could be accomplished in time O((n/8)2) and in space O(2n/4) with O(2n/8) processors.We prove that their results are not correct, i.e., that the suggested scheme time and space complexity should be bounded, instead, by O(n2n/2) and O(2n/2), respectively. These results also invalidate the performance analysis of the more recent Lou and Chang [Parallel Comput. (1997) 1985] algorithm.