Greedy+Max: An Efficient Approximation Algorithm for k-Submodular Knapsack Maximization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49611-0_21
Reference28 articles.
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2. Chen, J., Tang, Z., Wang, C.: Monotone $$k$$-submodular knapsack maximization: an analysis of the Greedy+Singleton algorithm. In: Ni, Q., Wu, W. (eds.) Algorithmic Aspects in Information and Management. AAIM 2022. LNCS, vol. 13513. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16081-3_13
3. Feige, U.: A threshold of $$\ln n$$ for approximating set cover. J. ACM 45(4), 634–652 (1998)
4. Gridchyn, I., Kolmogorov, V.: Potts model, parametric maxflow and $$k$$-submodular functions. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 2320–2327 (2013)
5. Hirai, H., Iwamasa, Y.: On $$k$$-submodular relaxation. SIAM J. Discret. Math. 30(3), 1726–1736 (2016)
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