Faster Algorithms for $$k\text {-}\textsc {Subset}\,\textsc {Sum}$$ and Variations
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-97099-4_3
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4. Bringmann, K.: A near-linear pseudopolynomial time algorithm for subset sum. In: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2017, pp. 1073–1084. SIAM (2017). https://doi.org/10.1137/1.9781611974782.69
5. Bringmann, K., Nakos, V.: Top-$$k$$-convolution and the quest for near-linear output-sensitive subset sum. In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, pp. 982–995. ACM (2020). https://doi.org/10.1145/3357713.3384308
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1. Faster algorithms for k-subset sum and variations;Journal of Combinatorial Optimization;2022-12-01
2. Approximating Subset Sum Ratio via Subset Sum Computations;Lecture Notes in Computer Science;2022
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